TECHNICAL FIELD
[0001] The present invention relates to an inspection system, an inspection method, and
a program, and in particular, is ones to be suitable when used for inspecting a track
of a railway vehicle.
BACKGROUND ART
[0002] When a railway vehicle travels on a track, the position of the track changes due
to a load from the railway vehicle. When such a change in track occurs, the railway
vehicle is liable to exhibit abnormal behavior. Thus, detection of abnormality of
the track has been performed conventionally by causing a railway vehicle to travel
on the track.
[0003] Patent Literature 1 describes that angular displacements of wheel sets in a yawing
direction, state variables derived by a Kalman filter, and a forward-and-backward-direction
force are substituted into motion equations that describe yawings of the wheel sets
to estimate an alignment irregularity amount.
CITATION LIST
PATENT LITERATURE
SUMMARY OF INVENTION
TECHNICAL PROBLEM
[0005] The present inventors have learned that in the technique described in Patent Literature
1, when a disturbance that is not considered in the motion equations occurs, the error
in an estimated value of the alignment irregularity amount becomes large.
[0006] The present invention has been made in consideration of the above problem, and an
object thereof is to enable accurate detection of track irregularity of a railway
vehicle without using a special measuring apparatus.
SOLUTION TO PROBLEM
[0007] An inspection system of the present invention includes: a data acquisition means
configured to acquire measured data being time-series data of measured values to be
measured by causing a railway vehicle including a vehicle body, a bogie, and a wheel
set to travel on a track; a first track state calculation means configured to calculate
an estimated value of a first physical quantity; a correction amount calculation means
configured to calculate a correction amount for the estimated value of the first physical
quantity based on the estimated value of the first physical quantity calculated by
the first track state calculation means and an actual value of the first physical
quantity;
a second track state calculation means configured to calculate an estimated value
of the first physical quantity after the correction amount is calculated; and a track
state correction means configured to correct the estimated value of the first physical
quantity calculated by the second track state calculation means by using the correction
amount, in which the measured data contain a measured value of a forward-and-backward-direction
force, the forward-and-backward-direction force is a force in a forward and backward
direction to occur in a member disposed between the wheel set and the bogie on which
the wheel set is provided, the member is a member for supporting an axle box, the
forward and backward direction is a direction along a traveling direction of the railway
vehicle, the first physical quantity is a physical quantity reflecting a state of
the track, the first track state calculation means and the second track state calculation
means are configured to use a relational expression representing the relation between
the first physical quantity at a position of the wheel set and the forward-and-backward-direction
force and a measured value of the forward-and-backward-direction force to calculate
the estimated value of the first physical quantity, the measured value of the forward-and-backward-direction
force used in the first track state calculation means is contained in the measured
data acquired by the data acquisition means before the correction amount is calculated,
and the measured value of the forward-and-backward-direction force used in the second
track state calculation means is contained in the measured data acquired by the data
acquisition means after the correction amount is calculated.
[0008] An inspection method of the present invention, carried out by an inspection system,
includes: a data acquisition step of acquiring measured data being time-series data
of measured values to be measured by causing a railway vehicle including a vehicle
body, a bogie, and a wheel set to travel on a track; a first track state calculation
step of calculating an estimated value of a first physical quantity; a correction
amount calculation step of calculating a correction amount for the estimated value
of the first physical quantity based on the estimated value of the first physical
quantity calculated by the first track state calculation step and an actual value
of the first physical quantity; a second track state calculation step of calculating
an estimated value of the first physical quantity after the correction amount is calculated;
and a track state correction step of correcting the estimated value of the first physical
quantity calculated by the second track state calculation step by using the correction
amount, in which the measured data contain a measured value of a forward-and-backward-direction
force, the forward-and-backward-direction force is a force in a forward and backward
direction to occur in a member disposed between the wheel set and the bogie on which
the wheel set is provided, the member is a member for supporting an axle box, the
forward and backward direction is a direction along a traveling direction of the railway
vehicle, the first physical quantity is a physical quantity reflecting a state of
the track, the first track state calculation step and the second track state calculation
step use a relational expression representing the relation between the first physical
quantity at a position of the wheel set and the forward-and-backward-direction force
and a measured value of the forward-and-backward-direction force to calculate the
estimated value of the first physical quantity, the measured value of the forward-and-backward-direction
force used in the first track state calculation step is contained in the measured
data acquired by the data acquisition step before the correction amount is calculated,
and the measured value of the forward-and-backward-direction force used in the second
track state calculation step is contained in the measured data acquired by the data
acquisition step after the correction amount is calculated.
[0009] A computer program of the present invention comprising instructions which, when the
program is executed by a computer, cause the computer to execute steps including:
a data acquisition step of acquiring measured data being time-series data of measured
values to be measured by causing a railway vehicle including a vehicle body, a bogie,
and a wheel set to travel on a track; a first track state calculation step of calculating
an estimated value of a first physical quantity; a correction amount calculation step
of calculating a correction amount for the estimated value of the first physical quantity
based on the estimated value of the first physical quantity calculated by the first
track state calculation step and an actual value of the first physical quantity; a
second track state calculation step of calculating an estimated value of the first
physical quantity after the correction amount is calculated; and a track state correction
step of correcting the estimated value of the first physical quantity calculated by
the second track state calculation step by using the correction amount, in which the
measured data contain a measured value of a forward-and-backward-direction force,
the forward-and-backward-direction force is a force in a forward and backward direction
to occur in a member disposed between the wheel set and the bogie on which the wheel
set is provided, the member is a member for supporting an axle box, the forward and
backward direction is a direction along a traveling direction of the railway vehicle,
the first physical quantity is a physical quantity reflecting a state of the track,
the first track state calculation step and the second track state calculation step
use a relational expression representing the relation between the first physical quantity
at a position of the wheel set and the forward-and-backward-direction force and a
measured value of the forward-and-backward-direction force to calculate the estimated
value of the first physical quantity, the measured value of the forward-and-backward-direction
force used in the first track state calculation step is contained in the measured
data acquired by the data acquisition step before the correction amount is calculated,
and the measured value of the forward-and-backward-direction force used in the second
track state calculation step is contained in the measured data acquired by the data
acquisition step after the correction amount is calculated.
BRIEF DESCRIPTION OF DRAWINGS
[0010]
[Fig. 1] Fig. 1 is a view illustrating one example of an outline of a railway vehicle.
[Fig. 2] Fig. 2 is a view conceptually illustrating directions of main motions of
components of the railway vehicle.
[Fig. 3A] Fig. 3A is a view illustrating one example of an alignment irregularity
amount in a linear track.
[Fig. 3B] Fig. 3B is a view illustrating one example of an alignment irregularity
amount in a curved track.
[Fig. 4] Fig. 4 is a diagram illustrating one example of a functional configuration
of an inspection apparatus.
[Fig. 5] Fig. 5 is a diagram illustrating one example of a hardware configuration
of the inspection apparatus.
[Fig. 6] Fig. 6 is a flowchart illustrating one example of first preprocessing.
[Fig. 7] Fig. 7 is a flowchart illustrating one example of second preprocessing.
[Fig. 8] Fig. 8 is a flowchart illustrating one example of main processing.
[Fig. 9] Fig. 9 is a view illustrating one example of a distribution of eigenvalues
of an autocorrelation matrix.
[Fig. 10] Fig. 10 is a view illustrating one example of time-series data of a measured
value of a forward-and-backward-direction force (a measured value) and time-series
data of a predicted value of the forward-and-backward-direction force (a calculated
value).
[Fig. 11] Fig. 11 is a view illustrating one example of time-series data of a high-frequency
component of the forward-and-backward-direction force.
[Fig. 12A] Fig. 12A is a view illustrating a first example of a relation between an
estimated value of the alignment irregularity amount, an actual value of the alignment
irregularity amount, a traveling velocity of the railway vehicle, and a curvature
of a rail and a distance from a starting point of the railway vehicle.
[Fig. 12B] Fig. 12B is a view illustrating a second example of the relation between
the estimated value of the alignment irregularity amount, the actual value of the
alignment irregularity amount, the traveling velocity of the railway vehicle, and
the curvature of the rail and the distance from the starting point of the railway
vehicle.
[Fig. 13A] Fig. 13A is a view illustrating a third example of the relation between
the estimated value of the alignment irregularity amount, the actual value of the
alignment irregularity amount, the traveling velocity of the railway vehicle, and
the curvature of the rail and the distance from the starting point of the railway
vehicle.
[Fig. 13B] Fig. 13B is a view illustrating a fourth example of the relation between
the estimated value of the alignment irregularity amount, the actual value of the
alignment irregularity amount, the traveling velocity of the railway vehicle, and
the curvature of the rail and the distance from the starting point of the railway
vehicle.
[Fig. 14A] Fig. 14A is a view illustrating a fifth example of the relation between
the estimated value of the alignment irregularity amount, the actual value of the
alignment irregularity amount, the traveling velocity of the railway vehicle, and
the curvature of the rail and the distance from the starting point of the railway
vehicle.
[Fig. 14B] Fig. 14B is a view illustrating a sixth example of the relation between
the estimated value of the alignment irregularity amount, the actual value of the
alignment irregularity amount, the traveling velocity of the railway vehicle, and
the curvature of the rail and the distance from the starting point of the railway
vehicle.
[Fig. 15] Fig. 15 is a view explaining one example of flange contact.
[Fig. 16A] Fig. 16A is a view illustrating a first example of a relation between a
second correction amount and the distance from the starting point of the railway vehicle.
[Fig. 16B] Fig. 16B is a view illustrating a second example of the relation between
the second correction amount and the distance from the starting point of the railway
vehicle.
[Fig. 16C] Fig. 16C is a view illustrating a third example of the relation between
the second correction amount and the distance from the starting point of the railway
vehicle.
[Fig. 17A] Fig. 17A is a view illustrating a first example of a relation between a
corrected estimated value of the alignment irregularity amount and the distance from
the starting point of the railway vehicle.
[Fig. 17B] Fig. 17B is a view illustrating a second example of the relation between
the corrected estimated value of the alignment irregularity amount and the distance
from the starting point of the railway vehicle.
[Fig. 18A] Fig. 18A is a view illustrating a third example of the relation between
the corrected estimated value of the alignment irregularity amount and the distance
from the starting point of the railway vehicle.
[Fig. 18B] Fig. 18B is a view illustrating a fourth example of the relation between
the corrected estimated value of the alignment irregularity amount and the distance
from the starting point of the railway vehicle.
[Fig. 19A] Fig. 19A is a view illustrating a fifth example of the relation between
the corrected estimated value of the alignment irregularity amount and the distance
from the starting point of the railway vehicle.
[Fig. 19B] Fig. 19B is a view illustrating a sixth example of the relation between
the corrected estimated value of the alignment irregularity amount and the distance
from the starting point of the railway vehicle.
[Fig. 20] Fig. 20 is a view illustrating one example of a constitution of an inspection
system.
DESCRIPTION OF EMBODIMENTS
[0011] Hereinafter, there will be explained embodiments of the present invention with reference
to the drawings.
(Outline)
[0012] First, there will be explained the outline of the embodiment of the present invention.
[0013] Fig. 1 is a view illustrating one example of an outline of a railway vehicle. Incidentally,
in Fig. 1, the railway vehicle is set to proceed in the positive direction of the
x axis (the x axis is an axis along a traveling direction of the railway vehicle).
Further, the z axis is set to a direction perpendicular to a track 16 (the ground)
(a height direction of the railway vehicle). The y axis is set to a horizontal direction
perpendicular to the traveling direction of the railway vehicle (a direction perpendicular
to both the traveling direction and the height direction of the railway vehicle).
Further, the railway vehicle is set to a commercial vehicle. Incidentally, in each
of the drawings, the mark of ● added inside O indicates the direction from the far
side of the sheet toward the near side, and the mark of × added inside ○ indicates
the direction from the near side of the sheet toward the far side.
[0014] As illustrated in Fig. 1, in this embodiment, the railway vehicle includes a vehicle
body 11, bogies 12a, 12b, and wheel sets 13a to 13d. As above, in this embodiment,
the railway vehicle including the single vehicle body 11 provided with the two bogies
12a, 12b and four sets of the wheel sets 13a to 13d will be explained as an example.
The wheel sets 13a to 13d have axles 15a to 15d and wheels 14a to 14d provided on
both ends of the axles 15a to 15d respectively. In this embodiment, the case of the
bogies 12a, 12b each being a bolsterless bogie will be explained as an example. Incidentally,
in Fig. 1, for convenience of illustration, only the wheels 14a to 14d on one side
of the wheel sets 13a to 13d are illustrated, but wheels are also provided on the
other side of the wheel sets 13a to 13d (in the example illustrated in Fig. 1, there
are eight wheels in total). Further, the railway vehicle includes components other
than the components illustrated in Fig. 1 (components and so on to be explained in
later-described motion equations), but for convenience of illustration, illustrations
of these components are omitted in Fig. 1. For example, the bogies 12a, 12b have bogie
frames, bolster springs, and so on. Further, an axle box is disposed on the both sides
of each of the wheel sets 13a to 13d in the direction along the y axis. Further, the
bogie frame and the axle box are coupled to each other by an axle box suspension.
The axle box suspension is a device (suspension) to be disposed between the axle box
and the bogie frame. The axle box suspension absorbs vibration to be conveyed to the
railway vehicle from the track 16. Further, the axle box suspension supports the axle
box in a state where the position of the axle box relative to the bogie frame is restricted,
so as to prevent the axle box from moving in a direction along the x axis and a direction
along the y axis relative to the bogie frame (so as to prevent these movements from
occurring preferably). The axle box suspension is disposed on the both sides of each
of the wheel sets 13a to 13d in the direction along the y axis. Incidentally, the
railway vehicle itself can be fabricated by a well-known technique, and thus its detailed
explanation is omitted here.
[0015] When the railway vehicle travels on the track 16, acting force (creep force) between
the wheels 14a to 14d and the track 16 becomes a vibration source and the vibration
sequentially propagates to the wheel sets 13a to 13d, the bogies 12a, 12b, and the
vehicle body 11. Fig. 2 is a view conceptually illustrating directions of the main
motions of the components (the wheel sets 13a to 13d, the bogies 12a, 12b, and the
vehicle body 11) of the railway vehicle. The x axis, the y axis, and the z axis illustrated
in Fig. 2 correspond to the x axis, the y axis, and the z axis illustrated in Fig.
1 respectively.
[0016] In this embodiment as illustrated in Fig. 2, there will be explained, as an example,
the case where the wheel sets 13a to 13d, the bogies 12a, 12b, and the vehicle body
11 perform pivoting motion about the x axis as a pivot axis, pivoting motion about
the z axis as a pivot axis, and motion in the direction along the y axis. In the following
explanation, the pivoting motion about the x axis as a pivot axis is referred to as
rolling as necessary, the pivoting direction about the x axis as a pivot axis is referred
to as a rolling direction as necessary, and the direction along the x axis is referred
to as the forward and backward direction as necessary. Incidentally, the forward and
backward direction is the traveling direction of the railway vehicle. In this embodiment,
the direction along the x axis is the traveling direction of the railway vehicle.
Further, the pivoting motion about the z axis as a pivot axis is referred to as yawing
as necessary, the pivoting direction about the z axis as a pivot axis is referred
to as a yawing direction as necessary, and the direction along the z axis is referred
to as the up and down direction as necessary. Incidentally, the up and down direction
is a direction perpendicular to the track 16. Further, the motion in the direction
along the y axis is referred to as a transversal vibration as necessary, and the direction
along the y axis is referred to as the right and left direction as necessary. Incidentally,
the right and left direction is a direction perpendicular to both the forward and
backward direction (the traveling direction of the railway vehicle) and the up and
down direction (the direction perpendicular to the track 16).
Further, the railway vehicle performs motions other than these, but in each of the
embodiments, these motions are not considered in order to simplify the explanation.
However, these motions may be considered.
[0017] As described in Patent Literature 1, the present inventors devised a method of calculating,
as one example of a first physical quantity reflecting track irregularity (appearance
failure of the track 16), an alignment irregularity amount by using a measured value
of force in the forward and backward direction to occur in a member disposed between
the wheel sets 13a to 13b (13c to 13d) and the bogie 12a (12b) on which these wheel
sets 13a to 13b (13c to 13d) are provided. In the following explanation, the force
in the forward and backward direction to occur in the member is referred to as a forward-and-backward-direction
force as necessary.
[0018] The alignment irregularity amount is calculated by using an equation representing
the relation between the alignment irregularity amount and the forward-and-backward-direction
force, which is an equation based on a motion equation describing motion when the
railway vehicle travels on a linear track. The track 16 includes a linear portion
and a curved portion. In the following explanation, the linear portion of the track
16 is referred to as a linear track as necessary and the curved portion of the track
16 is referred to as a curved track as necessary.
[0019] When a state equation is constituted by using a motion equation that describes motion
of the railway vehicle traveling on the curved track in the case of performing filtering
with a filter (Kalman filter) performing later-described data assimilation, state
variables may diverge. Therefore, the state equation in the case of performing filtering
with the filter (Kalman filter) to perform data assimilation is constituted by using
a motion equation that describes motion of the railway vehicle traveling on the linear
track.
[0020] It is necessary to consider centrifugal force or the like that the railway vehicle
receives when traveling in the motion equation describing the motion of the railway
vehicle traveling on the curved track. Accordingly, the motion equation describing
the motion of the railway vehicle traveling on the curved track includes a term containing
a curvature radius of the rail. Therefore, when the state variables are derived using
the filter (Kalman filter) that performs data assimilation constituted by using the
motion equation that describes the motion of the railway vehicle traveling on the
linear track when the railway vehicle is traveling on the curved track, there is a
risk that it becomes impossible to derive the state variables with high accuracy.
[0021] The present inventors focused attention on the fact that the measured value of the
forward-and-backward-direction force when the railway vehicle travels on the curved
track has a certain bias relative to that when traveling on the linear track. Thus,
the present inventors thought that by reducing a low-frequency component (behavior
of the aforementioned bias) from time-series data of the measured value of the forward-and-backward-direction
force, the low-frequency component due to the railway vehicle traveling on the curved
track can be reduced from an estimated value of the state variable even where the
filter (Kalman filter) performing the later-described data assimilation is constituted
by using an equation based on the motion equation that describes the motion of the
railway vehicle when traveling on the linear track. From this, the present inventors
devised calculating the alignment irregularity amount by giving the time-series data
of the value of the forward-and-backward-direction force from which the low-frequency
component has been reduced to an equation representing the relation between the alignment
irregularity amount and the forward-and-backward-direction force, which is an equation
based on the motion equation describing the motion of the railway vehicle when traveling
on the linear track. The alignment irregularity amount is calculated as above, thereby
making it possible to calculate the alignment irregularity amount in the curved track
regardless of using the equation based on the motion equation describing the motion
of the railway vehicle when traveling on the linear track. Further, the calculating
equation of the alignment irregularity amount results in the same calculating equation
even on the curved track or the linear track.
[0022] Further, the present inventors found out that depending on at least any of a traveling
state of the railway vehicle and an installation state of the track 16, the calculation
accuracy of the alignment irregularity amount may decrease because the disturbance
not considered in the motion equations describing the motions of the railway vehicle
affects the measured value of the forward-and-backward-direction force. Examples of
such a traveling state of the railway vehicle where the disturbance is likely to occur
include a state where the railway vehicle is traveling at low speed, a state where
the railway vehicle is decelerating rapidly, a state where the railway vehicle is
accelerating rapidly, a state where the railway vehicle is traveling in contact with
flanges, and a state where the railway vehicle is traveling on a seam of the rail.
Further, examples of such an installation state of the track 16 where the disturbance
is likely to occur include a state where the rail has a sharp curve (state where the
rail has a large curvature), a state where the track 16 is installed at a place of
a specific structure, a state where the rail has a seam, and a state where the track
16 is a ballastless track. Examples of the specific structure include station platforms,
bridges, tunnels, turnouts, railroad crossings, and guardrails.
[0023] Such a disturbance is represented by the difference between an estimated value and
an actual measured value of the alignment irregularity amount. In the case of the
same railway vehicle, measured data do not vary significantly due to characteristics
inherent in the railway vehicle. Examples of the characteristics inherent in the railway
vehicle include individual differences in the vehicle body 11, individual differences
in the bogies 12a, 12b, individual differences in the wheel sets 13a to 13d, and individual
differences in strain gauges that measure the forward-and-backward-direction force.
Further, connection states of these are cited as the characteristics inherent in the
railway vehicle. Further, in the case of the same railway vehicle, a traveling velocity
at each position of the track 16 does not vary significantly. From this, the present
inventors found out that the previously-described difference between the estimated
value and the actual measured value of the alignment irregularity amount does not
vary significantly depending on the traveling date and time of the railway vehicle
in the case where the same railway vehicle is traveling on the same position. Thus,
the previously-described difference between the estimated value and the actual measured
value of the alignment irregularity amount is derived beforehand as a correction amount
for the estimated value of the alignment irregularity amount at each position of the
track 16 on which the railway vehicle travels. Thereafter, the railway vehicle is
made to travel on the track 16, to thereby obtain the estimated value of the alignment
irregularity amount again at each position of the track 16. The estimated value of
the alignment irregularity amount obtained as above is corrected by the correction
amount at the position of the track 16 where the estimated value has been obtained.
In this manner, the alignment irregularity amount at each position of the track 16
is obtained. In this embodiment, the alignment irregularity amount after correction
is set as a final alignment irregularity amount.
(Motion equation)
[0024] Next, there will be explained one example of the motion equation that describes the
motion when the railway vehicle travels on the linear track. In this embodiment, there
will be explained, as an example, the case where the railway vehicle has 21 degrees
of freedom while taking the motion equations described in Patent Literature 1 as an
example. That is, it is set that the wheel sets 13a to 13d perform the motion in the
right and left direction (transversal vibration) and the motion in the yawing direction
(yawing) (2 × 4 sets = eight degrees of freedom). Further, it is set that the bogies
12a, 12b perform the motion in the right and left direction (transversal vibration),
the motion in the yawing direction (yawing), and the motion in the rolling direction
(rolling) (3 × 2 sets = six degrees of freedom). Further, the vehicle body 11 performs
the motion in the right and left direction (transversal vibration), the motion in
the yawing direction (yawing), and the motion in the rolling direction (rolling) (3
× 1 sets = three degrees of freedom). Further, it is set that air springs (the bolster
springs) each provided on the bogies 12a, 12b perform the motion in the rolling direction
(rolling) (1 × 2 sets = two degrees of freedom). Further, it is set that yaw dampers
each provided on the bogies 12a, 12b perform the motion in the yawing direction (yawing)
(1 × 2 sets = two degrees of freedom).
[0025] Incidentally, the degree of freedom is not limited to 21 degrees of freedom. When
the degree of freedom increases, calculation accuracy improves, but a calculation
load becomes high. Further, there is a risk that a later-described Kalman filter no
longer operates stably. It is possible to appropriately determine the degree of freedom
considering these points. Further, the following motion equations can be achieved
by representing actions in the respective directions (the right and left direction,
the yawing direction, and the rolling direction) of the respective components (the
vehicle body 11, the bogies 12a, 12b, and the wheel sets 13a to 13d) based on the
descriptions of Patent Literature 1, for example. Thus, outlines of these motion equations
will be explained here, and their detailed explanations are omitted. Incidentally,
in each of the following equations, the term containing the curvature radius (curvature)
of the track 16 (rail) does not exist. That is, each of the following equations is
an equation expressing the railway vehicle traveling on the linear track. The equation
expressing the railway vehicle traveling on the linear track can be obtained by setting
the curvature radius of the track 16 (rail) to be infinite (the curvature to 0 (zero))
in the equation expressing the railway vehicle traveling on the curved track.
[0026] In each of the following equations, each subscript w indicates the wheel sets 13a
to 13d. Variables to which (only) the subscript w is added indicate that they are
common to the wheel sets 13a to 13d. Subscripts w1, w2, w3, and w4 indicate the wheel
sets 13a, 13b, 13c, and 13d respectively.
[0027] Subscripts t, T indicate the bogies 12a, 12b. Variables to which (only) the subscripts
t, T are added indicate that they are common to the bogies 12a, 12b. Subscripts t1,
t2 indicate the bogies 12a, 12b respectively.
[0028] Subscripts b, B indicate the vehicle body 11.
[0029] A subscript x indicates the forward and backward direction or the rolling direction,
and a subscript y indicates the right and left direction, and a subscript z indicates
the up and down direction or the yawing direction.
[0030] Further, " · · " and " · " each added above a variable indicate a second-order time
differential and a first-order time differential respectively.
[0031] Incidentally, when the following motion equations are explained, explanations of
the already-explained variables are omitted as necessary. Further, the motion equations
themselves are the same as those described in Patent Literature 1.
[0032] [Transversal vibration of the wheel set]
[0034] m
w is the mass of the wheel sets 13a to 13d. y
w1 · · is acceleration of the wheel set 13a in the right and left direction (in the
equation, · · is added above y
w1 (the same is true of the other variables below)). f
2 is a lateral creep coefficient (incidentally, the lateral creep coefficient f
2 may be given for each of the wheel sets 13a to 13d). v is a traveling velocity of
the railway vehicle. y
w1 · is a velocity of the wheel set 13a in the right and left direction (in the equation,
· is added above y
w1 (the same is true of the other variables below)). C
wy is a damping constant of the axle box suspension coupling the axle box and the wheel
set in the right and left direction. y
t1 · is a velocity of the bogie 12a in the right and left direction. a represents 1/2
of each distance between the wheel sets 13a and 13b and between the wheel sets 13c
and 13d in the forward and backward direction, which are provided on the bogies 12a,
12b (the distance between the wheel sets 13a and 13b and the distance between the
wheel sets 13c and 13d, which are provided on the bogies 12a, 12b, each become 2a).
φt1 · is an angular velocity of the bogie 12a in the yawing direction. h
1 is a distance between the middle of the axle and the center of gravity of the bogie
12a in the up and down direction.
φt1 · is an angular velocity of the bogie 12a in the rolling direction.
φ w1 is a pivot amount (angular displacement) of the wheel set 13a in the yawing direction.
K
wy is a spring constant of the axle box suspension in the right and left direction.
y
w1 is a displacement of the wheel set 13a in the right and left direction. y
t1 is a displacement of the bogie 12a in the right and left direction.
φt1 is a pivot amount (angular displacement) of the bogie 12a in the yawing direction.
φt1 is a pivot amount (angular displacement) of the bogie 12a in the rolling direction.
Incidentally, respective variables in (2) Equation to (4) Equation are represented
by being replaced with the variables in (1) Equation according to the meanings of
the aforementioned subscripts.
[Yawing of the wheel set]
[0036] I
wz is a moment of inertia of the wheel sets 13a to 13d in the yawing direction.
φw1 · · is angular acceleration of the wheel set 13a in the yawing direction. f
1 is a longitudinal creep coefficient. b is a distance in the right and left direction
between contacts between the two wheels, which are attached to each of the wheel sets
13a to 13d, and the track 16 (rail).
φw1 · is an angular velocity of the wheel set 13a in the yawing direction. C
wx is a damping constant of the axle box suspension in the forward and backward direction.
b
1 represents the length of 1/2 of the interval between the axle box suspensions in
the right and left direction (the interval of the two axle box suspensions, which
are provided on the right and left sides of the single wheel set, in the right and
left direction becomes 2b
1). γ is a tread slope. r is a radius of the wheels 14a to 14d. y
R1 is an alignment irregularity amount at the position of the wheel set 13a. s
a is an offset from the middle of the axles 15a to 15d to an axle box suspension spring
in the forward and backward direction. y
t1 is a displacement of the bogie 12a in the right and left direction. K
wx is a spring constant of the axle box suspension in the forward and backward direction.
Incidentally, respective variables in (6) Equation to (8) Equation are represented
by being replaced with the variables in (5) Equation according to the meanings of
the aforementioned subscripts. However, y
R2, y
R3, and y
R4 are alignment irregularity amounts at the positions of the wheel sets 13b, 13c, and
13d respectively.
[0037] Here, the alignment irregularity is a lateral displacement of a rail in a longitudinal
direction as described in Japan Industrial Standard (JIS E 1001: 2001). The alignment
irregularity amount is an amount of the displacement. Fig. 3A and Fig. 3B each illustrate
one example of the alignment irregularity amount y
R1 at the position of the wheel set 13a. In Fig. 3A, the case of the track 16 being
the linear track will be explained as an example. In Fig. 3B, the case of the track
16 being the curved track will be explained as an example. In Fig. 3A and Fig. 3B,
16a denotes a rail and 16b denotes a crosstie. In Fig. 3A, it is set that the wheel
14a of the wheel set 13a is in contact with the rail 16a at a position 301. In Fig.
3B, it is set that the wheel 14a of the wheel set 13a is in contact with the rail
16a at a position 302. The alignment irregularity amount y
R1 at the position of the wheel set 13a is a distance in the right and left direction
between the contact position between the wheel 14a of the wheel set 13a and the rail
16a and the position of the rail 16a in the case where this position is assumed as
a regular state. The position of the wheel set 13a is the contact position between
the wheel 14a of the wheel set 13a and the rail 16a. The alignment irregularity amounts
y
R2, y
R3, and y
R4 at the positions of the wheel sets 13b, 13c, and 13d are also defined in the same
manner as the alignment irregularity amount y
R1 at the position of the wheel set 13a.
[Transversal vibration of the bogie]
[0038] The motion equations that describe the transversal vibrations of the bogies 12a,
12b (motion in the right and left direction) are expressed by (9) Equation and (10)
Equation below.
[Mathematical equation 3]

[0039] m
T is the mass of the bogies 12a, 12b. y
t1 · · is acceleration of the bogie 12a in the right and left direction. c'
2 is a damping constant of a lateral movement damper. h
4 is a distance between the center of gravity of the bogie 12a and the lateral movement
damper in the up and down direction. y
b · is a velocity of the vehicle body 11 in the right and left direction. L represents
1/2 of the interval between the center of the bogie 12a and the center of the bogie
12b in the forward and backward direction (the interval between the center of the
bogie 12a and the center of the bogie 12b in the forward and backward direction becomes
2L).
φb · is an angular velocity of the vehicle body 11 in the yawing direction. h
5 is a distance between the lateral movement damper and the center of gravity of the
vehicle body 11 in the up and down direction.
φb · is an angular velocity of the vehicle body 11 in the rolling direction. y
w2 · is a velocity of the wheel set 13b in the right and left direction. k'
2 is a spring constant of the air spring (bolster spring) in the right and left direction.
h
2 is a distance between the center of gravity of each of the bogies 12a, 12b and the
center of the air spring (bolster spring) in the up and down direction. y
b is a displacement of the vehicle body 11 in the right and left direction.
φb is a pivot amount (angular displacement) of the vehicle body 11 in the yawing direction.
h
3 is a distance between the center of the air spring (bolster spring) and the center
of gravity of the vehicle body 11 in the up and down direction.
φb is a pivot amount (angular displacement) of the vehicle body 11 in the rolling direction.
Incidentally, respective variables in (10) Equation are represented by being replaced
with the variables in (9) Equation according to the meanings of the aforementioned
subscripts.
[Yawing of the bogie]
[0040] The motion equations that describe the yawings of the bogies 12a, 12b are expressed
by (11) Equation and (12) Equation below.
[Mathematical equation 4]

[0041] I
Tz is a moment of inertia of the bogies 12a, 12b in the yawing direction.
φt1 · · is angular acceleration of the bogie 12a in the yawing direction.
φw2 · is an angular velocity of the wheel set 13b in the yawing direction.
φw2 is a pivot amount (angular displacement) of the wheel set 13b in the yawing direction.
y
w2 is a displacement of the wheel set 13b in the right and left direction. k'
0 is stiffness of a rubber bush of the yaw damper. b'
0 represents 1/2 of the interval between the two yaw dampers, which are disposed on
the right and left sides of each of the bogies 12a, 12b, in the right and left direction
(the interval between the two yaw dampers, which are disposed on the right and left
sides of each of the bogies 12a, 12b, in the right and left direction becomes 2b'
0).
φy1 is a pivot amount (angular displacement) of the yaw damper disposed on the bogie
12a in the yawing direction. k"
2 is a spring constant of the air spring (bolster spring) in the right and left direction.
b
2 represents 1/2 of the interval between the two air springs (bolster springs), which
are disposed on the right and left sides of each of the bogies 12a, 12b, in the right
and left direction (the interval between the two air springs (bolster springs), which
are disposed on the right and left sides of each of the bogies 12a, 12b, in the right
and left direction becomes 2b
2). Incidentally, respective variables in (12) Equation are represented by being replaced
with the variables in (11) Equation according to the meanings of the aforementioned
subscripts.
[Rolling of the bogie]
[0042] The motion equations that describe the rollings of the bogies 12a, 12b are expressed
by (13) Equation and (14) Equation below.
[Mathematical equation 5]

[0043] I
Tx is a moment of inertia of the bogies 12a, 12b in the rolling direction.
φt1 · · is angular acceleration of the bogie 12a in the rolling direction. c
1 is a damping constant of an axle damper in the up and down direction. b'
1 represents 1/2 of the interval between the two axle dampers, which are disposed on
the right and left sides of each of the bogies 12a, 12b, in the right and left direction
(the interval between the two axle dampers, which are disposed on the right and left
sides of each of the bogies 12a, 12b, in the right and left direction becomes 2b'
1). c
2 is a damping constant of the air spring (bolster spring) in the up and down direction.
φa1 · is an angular velocity of the air spring (bolster spring) disposed on the bogie
12a in the rolling direction. k
1 is a spring constant of an axle spring in the up and down direction.
λ is a value obtained by dividing the volume of the air spring (bolster spring) main
body by the volume of an auxiliary air chamber. k
2 is a spring constant of the air spring (bolster spring) in the up and down direction.
φa1 is a pivot amount (angular displacement) of the air spring (bolster spring) disposed
on the bogie 12a in the rolling direction. k
3 is equivalent stiffness by a change in effective pressure receiving area of the air
spring (bolster spring). Incidentally, respective variables in (14) Equation are represented
by being replaced with the variables in (13) Equation according to the meanings of
the aforementioned subscripts. However,
φa2 is a pivot amount (angular displacement) of the air spring (bolster spring) disposed
on the bogie 12b in the rolling direction.
[Transversal vibration of the vehicle body]
[0044] The motion equation that describes the transversal vibration of the vehicle body
11 (motion in the right and left direction) is expressed by (15) Equation below.
[Mathematical equation 6]

[0045] m
B is the mass of the bogies 12a, 12b. y
b · · is acceleration of the vehicle body 11 in the right and left direction. y
t2 · is a velocity of the bogie 12b in the right and left direction.
φt2 · is an angular velocity of the bogie 12b in the rolling direction. y
t2 is a displacement of the bogie 12b in the right and left direction.
φt2 is a pivot amount (angular displacement) of the bogie 12b in the rolling direction.
[Yawing of the vehicle body]
[0046] The motion equation that describes the yawing of the vehicle body 11 is expressed
by (16) Equation below.
[Mathematical equation 7]

[0047] I
Bz is a moment of inertia of the vehicle body 11 in the yawing direction.
φb · · is angular acceleration of the vehicle body 11 in the yawing direction. c
0 is a damping constant of the yaw damper in the forward and backward direction.
φy1 · is an angular velocity of the yaw damper disposed on the bogie 12a in the yawing
direction.
φy2 · is an angular velocity of the yaw damper disposed on the bogie 12b in the yawing
direction.
φt2 is a pivot amount (angular displacement) of the bogie 12b in the yawing direction.
[Rolling of the vehicle body]
[0048] The motion equation that describes the rolling of the vehicle body 11 is expressed
by (17) Equation below.
[Mathematical equation 8]

[0049] I
Bx is a moment of inertia of the vehicle body 11 in the rolling direction.
φb · · is angular acceleration of the vehicle body 11 in the rolling direction.
[Yawing of the damper]
[0050] The motion equations that describe the yawing of the yaw damper disposed on the bogie
12a and the yawing of the yaw damper disposed on the bogie 12b are expressed by (18)
Equation and (19) Equation below respectively.
[Mathematical equation 9]

[0051] φy2 is a pivot amount (angular displacement) of the yaw damper disposed on the bogie
12b in the yawing direction.
[Rolling of the air spring (bolster spring)]
[0052] The motion equations that describe the rolling of the air spring (bolster spring)
disposed on the bogie 12a and the rolling of the air spring (bolster spring) disposed
on the bogie 12b are expressed by (20) Equation and (21) Equation below respectively.
[Mathematical equation 10]

[0053] φa2 · is an angular velocity of the air spring (bolster spring) disposed on the bogie
12b in the rolling direction.
(Forward-and-backward-direction force)
[0054] Next, the forward-and-backward-direction force will be explained. Incidentally, the
forward-and-backward-direction force itself is the same as that described in Patent
Literature 1.
[0055] In-phase components of the longitudinal creep force in one wheel of right and left
wheels in one wheel set and the longitudinal creep force in the other wheel are components
corresponding to a braking force and a driving force. Accordingly, the forward-and-backward-direction
force is preferably determined so as to correspond to an opposite-phase component
of the longitudinal creep force. The opposite-phase component of the longitudinal
creep force is a component to be opposite in phase to each other between the longitudinal
creep force in one wheel of the right and left wheels in one wheel set and the longitudinal
creep force in the other wheel. That is, the opposite-phase component of the longitudinal
creep force is a component, of the longitudinal creep force, in the direction in which
the axle is twisted. In this case, the forward-and-backward-direction force becomes
a component opposite in phase to each other out of forward-and-backward-direction
components of forces to occur in the aforementioned two members attached to both the
right and left sides of one wheel set.
[0056] Hereinafter, there will be explained concrete examples of the forward-and-backward-direction
force in the case where the forward-and-backward-direction force is determined so
as to correspond to the opposite-phase component of the longitudinal creep force.
[0057] In the case of the axle box suspension being a mono-link type axle box suspension,
the axle box suspension includes a link, and the axle box and the bogie frame are
coupled by the link. A rubber bush is attached to both ends of the link. In this case,
the forward-and-backward-direction force becomes, out of forward-and-backward-direction
components of loads that two links, which are attached to right and left ends of one
wheel set one by one, receive, the component to be opposite in phase to each other.
Further, due to arrangement and constitution of the links, the link mainly receives,
out of loads in the forward and backward direction, the right and left direction,
and the up and down direction, the load in the forward and backward direction. Accordingly,
one strain gauge only needs to be attached to each link, for example. By using a measured
value of the strain gauge, the forward-and-backward-direction component of the load
that this link receives is derived, to thereby obtain a measured value of the forward-and-backward-direction
force. Further, in place of applying such a design, a forward-and-backward-direction
displacement of the rubber bush attached to the link may be measured by a displacement
meter. In this case, the product of a measured displacement and a spring constant
of this rubber bush is set as the measured value of the forward-and-backward-direction
force. In the case of the axle box suspension being the mono-link type axle box suspension,
the previously-described member for supporting the axle box becomes the link or the
rubber bush.
[0058] Incidentally, in the load measured by the strain gauge attached to the link, not
only the component in the forward and backward direction, but also at least one component
of a component in the right and left direction and a component in the up and down
direction is sometimes contained. However, even in such a case, due to the structure
of the axle box suspension, the load of the component in the right and left direction
and the load of the component in the up and down direction that the link receives
are sufficiently smaller than the load of the component in the forward and backward
direction. Accordingly, only attaching one strain gauge to each link makes it possible
to obtain a measured value of the forward-and-backward-direction force, which has
accuracy to be required practically. In this manner, the components other than the
component in the forward and backward direction are sometimes included in the measured
value of the forward-and-backward-direction force. Thus, three or more strain gauges
may be attached to each link so as to cancel the strains in the up and down direction
and the right and left direction. This makes it possible to improve the accuracy of
the measured value of the forward-and-backward-direction force.
[0059] In the case of the axle box suspension being an axle beam type axle box suspension,
the axle box suspension includes an axle beam, and the axle box and the bogie frame
are coupled by the axle beam. The axle beam may be formed integrally with the axle
box. A rubber bush is attached to a bogie frame-side end of the axle beam. In this
case, the forward-and-backward-direction force becomes, out of forward-and-backward-direction
components of loads that two axle beams, which are attached to right and left ends
of one wheel set one by one, receive, the component to be opposite in phase to each
other. Further, due to arrangement and constitution of the axle beams, the axle beam
is likely to receive, out of loads in the forward and backward direction, the right
and left direction, and the up and down direction, the load in the right and left
direction, in addition to the load in the forward and backward direction. Accordingly,
two or more strain gauges are attached to each axle beam so as to cancel the strain
in the right and left direction, for example. By using measured values of these strain
gauges, the forward-and-backward-direction component of the load that the axle beam
receives is derived, to thereby obtain a measured value of the forward-and-backward-direction
force. Further, in place of applying such a design, a forward-and-backward-direction
displacement of the rubber bush attached to the axle beam may be measured by a displacement
meter. In this case, the product of a measured displacement and a spring constant
of this rubber bush is set as the measured value of the forward-and-backward-direction
force. In the case of the axle box suspension being the axle beam type axle box suspension,
the previously-described member for supporting the axle box becomes the axle beam
or the rubber bush.
[0060] Incidentally, in the load measured by the strain gauge attached to the axle beam,
not only the components in the forward and backward direction and the right and left
direction, but also the component in the up and down direction is sometimes included.
However, even in such a case, due to the structure of the axle box suspension, the
load of the component in the up and down direction that the axle beam receives is
sufficiently smaller than the load of the component in the forward and backward direction
and the load of the component in the right and left direction. Accordingly, unless
the strain gauge is attached so as to cancel the load of the component in the up and
down direction that the axle beam receives, a measured value of the forward-and-backward-direction
force, which has accuracy to be required practically, can be obtained. In this manner,
the components other than the component in the forward and backward direction are
sometimes included in the measured forward-and-backward-direction force, and three
or more strain gauges may be attached to each axle beam so as to cancel the strain
in the up and down direction as well as the strain in the right and left direction.
This makes it possible to improve the accuracy of the measured value of the forward-and-backward-direction
force.
[0061] In the case of the axle box suspension being a leaf spring type axle box suspension,
the axle box suspension includes a leaf spring, and the axle box and the bogie frame
are coupled by the leaf spring. A rubber bush is attached to ends of the leaf spring.
In this case, the forward-and-backward-direction force becomes, out of forward-and-backward-direction
components of loads that two leaf springs, which are attached to right and left ends
of one wheel set one by one, receive, the component to be opposite in phase to each
other. Further, due to arrangement and constitution of the leaf springs, the leaf
spring is likely to receive, out of loads in the forward and backward direction, the
right and left direction, and the up and down direction, the load in the right and
left direction and the load in the up and down direction, in addition to the load
in the forward and backward direction. Accordingly, three or more strain gauges are
attached to each leaf spring so as to cancel the strains in the right and left direction
and the up and down direction, for example. By using measured values of these strain
gauges, the forward-and-backward-direction component of the load that the leaf spring
receives is derived, to thereby obtain a measured value of the forward-and-backward-direction
force. Further, in place of applying such a design, a forward-and-backward-direction
displacement of the rubber bush attached to the leaf spring may be measured by a displacement
meter. In this case, the product of a measured displacement and a spring constant
of this rubber bush is set as the measured value of the forward-and-backward-direction
force. In the case of the axle box suspension being the leaf spring type axle box
suspension, the previously-described member for supporting the axle box becomes the
leaf spring or the rubber bush.
[0062] Incidentally, as the previously-described displacement meter, a well-known laser
displacement meter or eddy current displacement meter can be used.
[0063] Further, the forward-and-backward-direction force has been explained here by taking
the case of the system of the axle box suspension being a mono-link type, an axle
beam type, and a leaf spring type as an example. However, the system of the axle box
suspension is not limited to the mono-link type, the axle beam type, and the leaf
spring type. In conformity with the system of the axle box suspension, the forward-and-backward-direction
force can be determined in the same manner as in the mono-link type, the axle beam
type, and the leaf spring type.
[0064] Further, the case where a measured value of a single forward-and-backward-direction
force can be obtained in one wheel set will be explained as an example, in order to
simplify the explanation below. That is, the railway vehicle illustrated in Fig. 1
has the four wheel sets 13a to 13d. Accordingly, it is possible to obtain measured
values of four forward-and-backward-direction forces T
1 to T
4.
(First embodiment)
[0065] Next, there will be explained a first embodiment of the present invention.
inspection apparatus 400>
[0066] Fig. 4 is a diagram illustrating one example of a functional configuration of an
inspection apparatus 400. Fig. 5 is a diagram illustrating one example of a hardware
configuration of the inspection apparatus 400. Fig. 6 is a flowchart illustrating
one example of first preprocessing in the inspection apparatus 400. The first preprocessing
is processing for setting state equations and observation equations used in second
preprocessing and main processing. Fig. 7 is a flowchart illustrating one example
of the second preprocessing in the inspection apparatus 400. The second preprocessing
is processing to derive a correction amount for an estimated value of the previously-described
alignment irregularity amount after the first preprocessing is finished. Fig. 8 is
a flowchart illustrating one example of the main processing in the inspection apparatus
400. The main processing is processing to derive an estimated value of a final alignment
irregularity amount after the first preprocessing and the second preprocessing are
finished. In this embodiment, as illustrated in Fig. 1, the case where the inspection
apparatus 400 is mounted on the railway vehicle will be explained as an example. In
the following explanation, the railway vehicle is set the same as the railway vehicle
with the inspection apparatus 400 mounted thereon.
[0067] In Fig. 4, the inspection apparatus 400 includes, as its functions, a state equation
storage unit 401, an observation equation storage unit 402, a data acquisition unit
403, a first frequency adjustment unit 404, a filter operation unit 405, a second
frequency adjustment unit 406, a first track state calculation unit 407, an actual
value acquisition unit 408, a correction amount calculation unit 409, a correction
amount storage unit 410, a second track state calculation unit 411, a track state
correction unit 412, and an output unit 413.
[0068] In Fig. 5, the inspection apparatus 400 includes a CPU 501, a main memory 502, an
auxiliary memory 503, a communication circuit 504, a signal processing circuit 505,
an image processing circuit 506, an I/F circuit 507, a user interface 508, a display
509, and a bus 510.
[0069] The CPU 501 overall controls the entire inspection apparatus 400. The CPU 501 uses
the main memory 502 as a work area to execute a program stored in the auxiliary memory
503. The main memory 502 stores data temporarily. The auxiliary memory 503 stores
various data, in addition to programs to be executed by the CPU 501. The auxiliary
memory 503 stores state equations, observation equations, and correction amounts (a
first correction amount, a second correction amount) to be described later. The state
equation storage unit 401, the observation equation storage unit 402, and the correction
amount storage unit 410 are fabricated by using the CPU 501 and the auxiliary memory
503, for example.
[0070] The communication circuit 504 is a circuit intended for performing communication
with the outside of the inspection apparatus 400. The communication circuit 504 receives
information of the measured value of the forward-and-backward-direction force and
pieces of information of measured values of accelerations of the vehicle body 11,
the bogies 12a, 12b, and the wheel sets 13a to 13d in the right and left direction,
for example. The communication circuit 504 may perform radio communication or wire
communication with the outside of the inspection apparatus 400. The communication
circuit 504 is connected to an antenna provided on the railway vehicle in the case
of performing radio communication.
[0071] The signal processing circuit 505 performs various pieces of signal processing on
signals received in the communication circuit 504 and signals input according to the
control by the CPU 501. The data acquisition unit 403 and the actual value acquisition
unit 408 are fabricated by using the CPU 501, the communication circuit 504, and the
signal processing circuit 505, for example. Further, the first frequency adjustment
unit 404, the filter operation unit 405, the second frequency adjustment unit 406,
the first track state calculation unit 407, the correction amount calculation unit
409, the second track state calculation unit 411, and the track state correction unit
412 are fabricated by using the CPU 501 and the signal processing circuit 505, for
example.
[0072] The image processing circuit 506 performs various pieces of image processing on signals
input according to the control by the CPU 501. The signal that has been subjected
to the image processing is output on the display 509.
[0073] The user interface 508 is a part through which an operator gives an instruction to
the inspection apparatus 400. The user interface 508 includes buttons, switches, dials,
and so on, for example. Further, the user interface 508 may include a graphical user
interface using the display 509.
[0074] The display 509 displays an image based on a signal output from the image processing
circuit 506. The I/F circuit 507 exchanges data with a device connected to the I/F
circuit 507. In Fig. 5, as the device to be connected to the I/F circuit 507, the
user interface 508 and the display 509 are illustrated. However, the device to be
connected to the I/F circuit 507 is not limited to these. For example, a portable
storage medium may be connected to the I/F circuit 507. Further, at least a part of
the user interface 508 and the display 509 may be provided outside the inspection
apparatus 400.
[0075] The output unit 413 is fabricated by using the communication circuit 504, the signal
processing circuit 505, and at least any one of the image processing circuit 506,
the I/F circuit 507, and the display 509, for example.
[0076] Incidentally, the CPU 501, the main memory 502, the auxiliary memory 503, the signal
processing circuit 505, the image processing circuit 506, and the I/F circuit 507
are connected to the bus 510. Communication among these components is performed via
the bus 510. Further, the hardware of the inspection apparatus 400 is not limited
to the one illustrated in Fig. 5 as long as it can perform later-described functions
of the inspection apparatus 400.
[State equation storage unit 401, S601]
[0077] The state equation storage unit 401 stores state equations. In this embodiment, the
case of using the state equations described in Patent Literature 1 will be explained
as an example. As described previously, in this embodiment, the motion equations that
describe the yawings of the wheel sets 13a to 13d of (5) Equation to (8) Equation
are not included in the state equation, and the state equation is constituted as follows.
[0078] First, the motion equations that describe the transversal vibrations of the bogies
12a, 12b (motion in the right and left direction) of (9) Equation and (10) Equation,
the motion equations that describe the rollings of the bogies 12a, 12b of (13) Equation
and (14) Equation, the motion equation that describes the transversal vibration of
the vehicle body 11 (motion in the right and left direction) of (15) Equation, the
motion equation that describes the yawing of the vehicle body 11 of (16) Equation,
the motion equation that describes the rolling of the vehicle body 11 of (17) Equation,
the motion equations that describe the yawings of the yaw damper disposed on the bogie
12a and the yaw damper disposed on the bogie 12b of (18) Equation and (19) Equation,
and the motion equations that describe the rollings of the air spring (bolster spring)
disposed on the bogie 12a and the air spring (bolster spring) disposed on the bogie
12b of (20) Equation and (21) Equation are used as they are to constitute the state
equation.
[0079] In the meantime, in the motion equations that describe the transversal vibrations
of the wheel sets 13a to 13d (motion in the right and left direction) of (1) Equation
to (4) Equation and the motion equations that describe the yawings of the bogies 12a,
12b of (11) Equation and (12) Equation, the pivot amounts (angular displacements)
φw1 to
φw4 and the angular velocities
φw1 · to
φw4 · of the wheel sets 13a to 13d in the yawing direction are included. Results obtained
after eliminating these variables from (1) Equation to (4) Equation, (11) Equation,
and (12) Equation are used to constitute the state equation.
[0080] First, the forward-and-backward-direction forces T
1 to T
4 of the wheel sets 13a to 13d are expressed by (22) Equation to (25) Equation below.
In this manner, the forward-and-backward-direction forces T
1 to T
4 are determined according to the differences between the angular displacements
φw1 to
φw4 of the wheel sets in the yawing direction and the angular displacements
φt1 to
φt2 of the bogies on which these wheel sets are provided in the yawing direction.
[Mathematical equation 11]

[0081] Transformation variables e
1 to e
4 are defined as in (26) Equation to (29) Equation below. As above, the transformation
variables e
1 to e
4 are defined by the differences between the angular displacements
φt1 to
φt2 of the bogies in the yawing direction and the angular displacements
φw1 to
φw4 of the wheel sets in the yawing direction. The transformation variables e
1 to e
4 are variables for performing mutual transformation between the angular displacements
φt1 to
φt2 of the bogies in the yawing direction and the angular displacements
φw1 to
φw4 of the wheel sets in the yawing direction.
[Mathematical equation 12]

[0084] As above, the motion equations that describe the transversal vibrations of the wheel
sets 13a to 13d (motion in the right and left direction) of (1) Equation to (4) Equation
are expressed by using the transformation variables e
1 to e
4, thereby making it possible to eliminate the pivot amounts (angular displacements)
φw1 to
φw4 of the wheel sets 13a to 13d in the yawing direction that are included in these motion
equations.
[0085] When (22) Equation to (25) Equation are substituted into the motion equations that
describe the yawings of the bogies 12a, 12b of (11) Equation and (12) Equation, (38)
Equation and (39) Equation below are obtained.
[Mathematical equation 15]

[0086] As above, the motion equations that describe the yawings of the bogies 12a, 12b of
(11) Equation and (12) Equation are expressed by using the forward-and-backward-direction
forces T
1 to T
4, thereby making it possible to eliminate the angular displacements
φw1 to
φw4 and the angular velocities
φw1 · to
φw4 · of the wheel sets 13a to 13d in the yawing direction that are included in these
motion equations.
[0088] As above, in this embodiment, as in (34) Equation to (37) Equation, the motion equations
that describe the transversal vibrations of the wheel sets 13a to 13d (motion in the
right and left direction) are expressed, and at the same time, as in (38) Equation
and (39) Equation, the motion equations that describe the yawings of the bogies 12a,
12b are expressed, and by using these, the state equation is constituted. Further,
(40) Equation to (43) Equation are ordinary differential equations, and actual values
of the transformation variables e
1 to e
4, which are solutions of the equations, can be derived by using the values of the
forward-and-backward-direction forces T
1 to T
4 in the wheel sets 13a to 13d. Here, the values of the forward-and-backward-direction
forces T
1 to T
4 are that a signal strength of a low-frequency component to be generated due to the
railway vehicle traveling on the curved portion of the track is reduced from the time-series
data of the measured value of the forward-and-backward-direction force by the later-described
first frequency adjustment unit 404.
[0089] The actual values of the transformation variables e
4 to e
4 derived as above are given to (34) Equation to (37) Equation. Further, the values
of the forward-and-backward-direction forces T
1 to T
4 in the wheel sets 13a to 13d are given to (38) Equation and (39) Equation. Here,
the values of the forward-and-backward-direction forces T
1 to T
4 are that a signal strength of a low-frequency component to be generated due to the
railway vehicle traveling on the curved portion of the track is reduced from the time-series
data of the measured value of the forward-and-backward-direction force by the later-described
first frequency adjustment unit 404.
[0090] In this embodiment, variables illustrated in (44) Equation below are set as the state
variables, and by using the motion equations of (9) Equation, (10) Equation, (13)
Equation to (21) Equation, and (34) Equation to (39) Equation, the state equation
is constituted.
[Mathematical equation 17]

[0091] The state equation storage unit 401 receives the state equation constituted as above,
for example, based on the operation of the user interface 508 by an operator and stores
it.
[Observation equation storage unit 402, S602]
[0092] The observation equation storage unit 402 stores observation equations. In this embodiment,
the acceleration of the vehicle body 11 in the right and left direction, the accelerations
of the bogies 12a, 12b in the right and left direction, and the accelerations of the
wheel sets 13a to 13d in the right and left direction are set to observation variables.
These observation variables are observation variables of filtering by a later-described
Kalman filter. In this embodiment, the motion equations that describe the transversal
vibrations of (34) Equation to (37) Equation, (9) Equation, (10) Equation, and (15)
Equation are used to constitute an observation equation. The observation equation
storage unit 402 receives the observation equation constituted in this manner, for
example, based on the operation of the user interface 508 by an operator and stores
it.
[0093] After the state equation and the observation equation are stored in the inspection
apparatus 400 as above, the data acquisition unit 403, the first frequency adjustment
unit 404, the filter operation unit 405, the second frequency adjustment unit 406,
the first track state calculation unit 407, the actual value acquisition unit 408,
the correction amount calculation unit 409, and the correction amount storage unit
410 start. That is, after the first preprocessing by the flowchart in Fig. 6 is finished,
the second preprocessing by the flowchart in Fig. 7 starts.
[Data acquisition unit 403, S701]
[0094] The data acquisition unit 403 acquires measured data with a predetermined sampling
period.
[0095] In this embodiment, the data acquisition unit 403 acquires, as the measured data,
time-series data of a measured value of the acceleration of the vehicle body 11 in
the right and left direction, time-series data of measured values of the accelerations
of the bogies 12a, 12b in the right and left direction, and time-series data of measured
values of the accelerations of the wheel sets 13a to 13d in the right and left direction.
The respective accelerations are measured by using strain gauges attached to, for
example, the vehicle body 11, the bogies 12a, 12b, and the wheel sets 13a to 13d respectively
and an arithmetic device that calculates the accelerations by using measured values
of these strain gauges. Incidentally, the measurement of the accelerations can be
performed by a well-known technique, and thus its detailed explanation is omitted.
[0096] Further, the data acquisition unit 403 acquires, as the measured data, time-series
data of the measured value of the forward-and-backward-direction force. The method
of measuring the forward-and-backward-direction force is as described previously.
[0097] The data acquisition unit 403 can acquire the measured data by performing communication
with the previously-described arithmetic device, for example. At Step S701, the data
acquisition unit 403 acquires measured data in the entire traveling section of the
railway vehicle.
[First frequency adjustment unit 404, S702]
[0098] The first frequency adjustment unit 404 reduces (preferably removes) the signal strength
of the low-frequency component contained in the time-series data of the measured value
of the forward-and-backward-direction force (a second physical quantity) out of the
measured data acquired by the data acquisition unit 403. A signal of this low-frequency
component is a signal that is not measured when the railway vehicle is traveling on
the linear track, but is measured when the railway vehicle is traveling on the curved
track. That is, the signal measured when the railway vehicle is traveling on the curved
track can be regarded as a signal obtained by superimposing the signal of this low-frequency
component on the signal measured when the railway vehicle is traveling on the linear
track.
[0099] The present inventors devised a model in which an AR (Auto-regressive) model is corrected.
Then, the present inventors devised reducing the signal strength of the low-frequency
component contained in the time-series data of the measured value of the forward-and-backward-direction
force by using this model. In the following explanation, the model devised by the
present inventors is referred to as a corrected AR model. In contrast to this, the
well-known AR model is referred to as an AR model simply. Hereinafter, there will
be explained one example of the corrected AR model.
[0100] A value of time-series data y of a physical quantity at a time k (1 is k is M) is
set to y
k. M is a number indicating, as the time-series data y of the physical quantity, data
until when are contained, and is preset. In the following explanation, the time-series
data of the physical quantity will be abbreviated to data y as necessary. The AR model
approximating the value y
k of the data y is as in (45) Equation below, for example. The AR model is, as illustrated
in (45) Equation, an equation expressing a predicted value y^
k of the physical quantity at the time k (m + 1 ≦ k ≦ M) in the data y by using an
actual value y
k - l of the physical quantity at a time k - l (1 ≦ l ≦ m) prior to the time k in the data
y. Incidentally, y^
k is expressed by adding ^ above y
k in (45) Equation.
[Mathematical equation 18]

[0101] In (45) Equation,
α is a coefficient of the AR model. m is a number of the value of the data y to be
used for approximating the value y
k of the data y at the time k in the AR model, and is a number among values y
k - l to y
k - m of the data y at continuous times k - l to k - m prior to the time k. m is an integer
less than M. As m, for example, 1500 can be used.
[0102] Then, there is derived a conditional expression for approximating the predicted value
y^
k of the physical quantity at the time k by the AR model to the value y
k by using a least square method. As the condition for approximating the predicted
value y^
k of the physical quantity at the time k by the AR model to the value y
k, it is possible to employ a condition that minimizes a square error between the predicted
value y^
k of the physical quantity at the time k by the AR model and the value y
k, for example. That is, the least square method is used in order to approximate the
predicted value y^
k of the physical quantity at the time k by the AR model to the value y
k. (46) Equation below is a conditional expression for minimizing the square error
between the predicted value y^
k of the physical quantity at the time k by the AR model and the value y
k.
[Mathematical equation 19]

[0103] The relation of (47) Equation below is established by (46) Equation.
[Mathematical equation 20]

[0104] Further, (47) Equation is modified (expressed in matrix notation form), and thereby
(48) Equation below is obtained.
[Mathematical equation 21]

[0105] R
j1 in (48) Equation is called autocorrelation of the data y, and is a value defined
by (49) Equation below. |j - l| at this time is referred to as a time lag.
[Mathematical equation 22]

[0106] Based on (48) Equation, (50) Equation below is considered. (50) Equation is an equation
derived from a condition that minimizes the error between the predicted value y^
k of the physical quantity at the time k by the AR model and the value y
k of the physical quantity at the time k corresponding to the predicted value y^
k. (50) Equation is called a Yule-Walker equation. Further, (50) Equation is a linear
equation in which a vector composed of coefficients of the AR model is set to a variable
vector. A constant vector on the left side in (50) Equation is a vector whose component
is the autocorrelation of the data y with a time lag of 1 to m. In the following explanation,
the constant vector on the left side in (50) Equation is referred to as an autocorrelation
vector as necessary. Further, a coefficient matrix on the right side in (50) Equation
is a matrix whose component is the autocorrelation of the data y with a time lag of
0 to m - 1. In the following explanation, the coefficient matrix on the right side
in (50) Equation is referred to as an autocorrelation matrix as necessary.
[Mathematical equation 23]

[0107] Further, the autocorrelation matrix on the right side in (50) Equation (a matrix
of m × m composed of R
j1) is described as an autocorrelation matrix R as in (51) Equation below.
[Mathematical equation 24]

[0108] In general, when deriving the coefficient of the AR model, a method of solving a
coefficient
α of (50) Equation is used. In (50) Equation, the coefficient
α is derived so as to make the predicted value y^
k of the physical quantity at the time k derived by the AR model come close to the
value y
k of the physical quantity at the time k as much as possible. Therefore, frequency
characteristics of the AR model include a large number of frequency components contained
in the value y
k of the data y at each time.
[0109] Thus, the present inventors focused on the autocorrelation matrix R to be multiplied
by the coefficient
α of the AR model and earnestly examined it. As a result, the present inventors found
out that it is possible to reduce the effect of a high-frequency component contained
in the data y by using a part of eigenvalues of the autocorrelation matrix R. That
is, the present inventors found out that it is possible to rewrite the autocorrelation
matrix R so that the low-frequency component is emphasized.
[0110] There will be explained a concrete example of the above below.
[0111] The autocorrelation matrix R is subjected to singular value decomposition. Elements
of the autocorrelation matrix R are symmetric. Thus, when the autocorrelation matrix
R is subjected to singular value decomposition, as in (52) Equation below, the result
becomes the product of an orthogonal matrix U, a diagonal matrix Σ, and a transposed
matrix of the orthogonal matrix U.
[Mathematical equation 25]

[0112] The diagonal matrix Σ in (52) Equation is a matrix whose diagonal component is the
eigenvalues of the autocorrelation matrix R as illustrated in (53) Equation below.
The diagonal component of the diagonal matrix Σ is set to σ
11, σ
22, ···, σ
mm. Further, the orthogonal matrix U is a matrix in which each column component vector
is an eigenvector of the autocorrelation matrix R. The column component vector of
the diagonal matrix U is set to u
1, u
2, ···, u
m. There is a correspondence relation in which the eigenvalue of the autocorrelation
matrix R responsive to an eigenvector u
j is σ
jj. The eigenvalue of the autocorrelation matrix R is a variable reflecting the strength
of each frequency component included in a time waveform of the predicted value y^
k of the physical quantity at the time k by the AR model.
[Mathematical equation 26]

[0113] The values of σ
11, σ
22, ···, σ
mm being the diagonal components of the diagonal matrix Σ obtained by the result of
the singular value decomposition of the autocorrelation matrix R are set in descending
order in order to simplify the illustration of the mathematical equation. A matrix
R' is defined as in (54) Equation below by using, out of the eigenvalues of the autocorrelation
matrix R illustrated in (53) Equation, s pieces of the eigenvalues, which are chosen
from the largest. s is a number that is 1 or more and less than m. In this embodiment,
s is preset. The matrix R' is a matrix resulting from approximating the autocorrelation
matrix R by using s pieces of the eigenvalues out of the eigenvalues of the autocorrelation
matrix R.
[Mathematical equation 27]

[0114] A matrix U
s in (54) Equation is a matrix of m × s composed of s pieces of the column component
vectors (eigenvectors corresponding to the eigenvalues to be used), which are chosen
from the left of the orthogonal matrix U of (52) Equation. That is, the matrix U
s is a submatrix composed of the left elements of m × s cut out from the orthogonal
matrix U. Further, U
sT in (54) Equation is a transposed matrix of U
s. U
sT is a matrix of s × m composed of s pieces of row component vectors, which are chosen
from the top of the matrix U
T in (52) Equation. The matrix Σ
s in (54) Equation is a matrix of s × s composed of s pieces of columns, which are
chosen from the left, and s pieces of rows, which are chosen from the top, of the
diagonal matrix Σ in (52) Equation. That is, the matrix Σ
s is a submatrix composed of the top and left elements of s × s cut out from the diagonal
matrix Σ.
[0115] When the matrix Σ
s and the matrix U
s are expressed by the matrix elements, (55) Equation below is obtained.
[Mathematical equation 28]

[0116] By using the matrix R' in place of the autocorrelation matrix R, the relational expression
of (50) Equation is rewritten into (56) Equation below.
[Mathematical equation 29]

[0117] (56) Equation is modified, and thereby (57) Equation below is obtained as the equation
deriving the coefficient
α . The model that calculates the predicted value y^
k of the physical quantity at the time k from (45) Equation while using the coefficient
α derived by (57) Equation is the "corrected AR model."
[Mathematical equation 30]

[0118] The case where the values of σ
11, σ
22, ···, σ
mm being the diagonal components of the diagonal matrix Σ are set in descending order
has been explained here as an example. However, it is not necessary to set the diagonal
components of the diagonal matrix Σ in descending order during a process of calculating
the coefficient
α. In this case, the matrix U
s is not the submatrix composed of the left elements of m × s cut out from the orthogonal
matrix U, but becomes a submatrix composed of the cut out column component vectors
corresponding to the eigenvalues to be used (the eigenvectors). Further, the matrix
Σ
s is not the submatrix composed of the top and left elements of s × s cut out from
the diagonal matrix Σ, but becomes a submatrix to be cut out so as to make the eigenvalues
used for determining the coefficient of the corrected AR model become the diagonal
components.
[0119] (57) Equation is an equation to be used for determining the coefficient of the corrected
AR model. The matrix U
s in (57) Equation is a matrix (a third matrix) in which the eigenvectors corresponding
to the eigenvalues used for determining the coefficient of the corrected AR model
are set to the column component vectors, which is the submatrix of the orthogonal
matrix U obtained by the singular value decomposition of the autocorrelation matrix
R. Further, the matrix Σ
s in (57) Equation is a matrix (a second matrix) in which the eigenvalues used for
determining the coefficient of the corrected AR model are set to the diagonal components,
which is the submatrix of the diagonal matrix obtained by the singular value decomposition
of the autocorrelation matrix R. The matrix U
sΣ
sU
sT in (57) Equation is a matrix (a first matrix) derived from the matrix Σ
s and the matrix U
s.
[0120] The right side of (57) Equation is calculated, and thereby the coefficient
α of the corrected AR model is derived. One example of the method of deriving the coefficient
α of the corrected AR model has been explained above. Here, as the method of deriving
the coefficient of the AR model to be the base of the corrected AR model, the method
of using the least square method for the predicted value y^
k of the physical quantity at the time k has been set in order to make the method understandable
intuitively. However, there has been known a method of defining the AR model by using
the concept of a stochastic process and deriving its coefficient generally. In this
case, the autocorrelation is expressed by autocorrelation of the stochastic process
(a population). This autocorrelation of the stochastic process is expressed as a function
of a time lag. Thus, the autocorrelation of the data y in this embodiment may be replaced
with a value calculated by another calculating formula as long as it approximates
the autocorrelation of the stochastic process. For example, R
22 to R
mm are autocorrelation with a time lag of 0 (zero), but they may be replaced with R
11.
[0121] The number s of the eigenvalues extracted from the autocorrelation matrix R illustrated
in (53) Equation can be determined from a distribution of the eigenvalues of the autocorrelation
matrix R, for example.
[0122] As the physical quantity in the explanation of the previously-described corrected
AR model, the forward-and-backward-direction force is applied here. The value of the
forward-and-backward-direction force varies according to the state of the railway
vehicle. Thus, the railway vehicle is first made to travel on the track 16 to obtain
the data y of the measured value of the forward-and-backward-direction force. The
autocorrelation matrix R is derived by using (49) Equation and (51) Equation for each
of the obtained data y. The autocorrelation matrix R is subjected to singular value
decomposition expressed by (52) Equation, to thereby derive the eigenvalues of the
autocorrelation matrix R. Fig. 9 is a view illustrating one example of the distribution
of the eigenvalues of the autocorrelation matrix R. In Fig. 9, eigenvalues σ
11 to σ
mm, which are obtained by the autocorrelation matrix R in each of the data y of the
measured value of the forward-and-backward-direction force T
1 in the wheel set 13a being subjected to singular value decomposition, are aligned
in ascending order and are plotted. In Fig. 9, the horizontal axis is an index of
the eigenvalue and the vertical axis is the value of the eigenvalue.
[0123] The example illustrated in Fig. 9 includes one eigenvalue having a value significantly
higher than the others. Further, the example includes two eigenvalues that have a
value relatively larger as compared to the others and are not regarded as 0 (zero),
which are not as high as the aforementioned eigenvalue having a significantly higher
value. This makes it possible to employ, for example, two or three as the number s
of the eigenvalues to be extracted from the autocorrelation matrix R illustrated in
(53) Equation. There is no significant difference in the results whichever number
is employed.
[0124] The first frequency adjustment unit 404 performs the following processing by using
the value y
k of the data y of the measured value of the forward-and-backward-direction force at
the time k acquired in the data acquisition unit 403.
[0125] First, the first frequency adjustment unit 404 generates the autocorrelation matrix
R using (49) Equation and (51) Equation based on the data y of the measured value
of the forward-and-backward-direction force and preset numbers M, m.
[0126] Then, the first frequency adjustment unit 404 performs singular value decomposition
on the autocorrelation matrix R, to thereby derive the orthogonal matrix U and the
diagonal matrix Σ of (52) Equation, and derives the eigenvalues σ
11 to σ
mm of the autocorrelation matrix R from the diagonal matrix Σ.
[0127] Then, the first frequency adjustment unit 404 chooses s pieces of the eigenvalues
σ
11 to σ
ss from the largest from among the plural eigenvalues σ
11 to σ
mm of the autocorrelation matrix R as the eigenvalues of the autocorrelation matrix
R to be used for deriving the coefficient
α of the corrected AR model.
[0128] Then, the first frequency adjustment unit 404 determines the coefficient
α of the corrected AR model using (57) Equation based on the data y of the measured
value of the forward-and-backward-direction force, the eigenvalues σ
11 to σ
ss, and the orthogonal matrix U obtained by the singular value decomposition of the
autocorrelation matrix R.
[0129] Then, the first frequency adjustment unit 404 derives the predicted value y^
k of the data y of the measured value of the forward-and-backward-direction force at
the time k from (45) Equation based on the coefficient
α of the corrected AR model and the data y of the measured value of the forward-and-backward-direction
force. Time-series data of the predicted value y^
k of the forward-and-backward-direction force result in the time-series data from which
the low-frequency component contained in the data y of the measured value of the forward-and-backward-direction
force has been extracted.
[0130] Fig. 10 is a view illustrating one example of the time-series data of the measured
value of the forward-and-backward-direction force (the measured value) and the time-series
data of the predicted value of the forward-and-backward-direction force (the calculated
value). Incidentally, in this embodiment, the measured values of the four forward-and-backward-direction
forces T
1 to T
4 are obtained. That is, four pieces of the data y of the forward-and-backward-direction
force are obtained. In Fig. 10, the measured value and the calculated value of each
of four pieces of the data y are illustrated. The horizontal axis in Fig. 10 indicates
a measuring time and a calculating time of the forward-and-backward-direction forces
T
1 to T
4, each of which is an elapsed time (second) from a reference time when the reference
time is set to 0 (zero). The vertical axis indicates the forward-and-backward-direction
forces T
1 to T
4 (Nm).
[0131] In Fig. 10, the calculated value of the forward-and-backward-direction force T
1 in the wheel set 13a is biased at about 15 seconds to 35 seconds (namely, a value
larger than that at another time is exhibited). This period corresponds to the period
when the wheel set 13a passes through the curved track. The calculated value of the
forward-and-backward-direction force T
2 in the wheel set 13b, the calculated value of the forward-and-backward-direction
force T
3 in the wheel set 13c, and the calculated value of the forward-and-backward-direction
force T
4 in the wheel set 13d are also biased during the period when the wheel sets 13b, 13c,
and 13d pass through the curved track similarly to the calculated value of the forward-and-backward-direction
force T
1 in the wheel set 13a.
[0132] Accordingly, in Fig. 10, removal of the calculated values from the measured values
of the forward-and-backward-direction forces T
1 to T
4 in the wheel sets 13a to 13d makes it possible to remove the low-frequency components,
which are due to the wheel sets 13a to 13d passing through the curved track, from
the signals of the forward-and-backward-direction forces T
1 to T
4. That is, in Fig. 10, when the calculated values are removed from the measured values
of the forward-and-backward-direction forces T
1 to T
4 in the wheel sets 13a to 13d, as the forward-and-backward-direction forces T
1 to T
4 when the wheel sets 13a to 13d have passed through the curved track, the forward-and-backward-direction
forces equivalent to those when the wheel sets 13a to 13d have passed through the
linear track can be obtained.
[0133] Thus, the first frequency adjustment unit 404 subtracts the time-series data of the
predicted value y^
k of the forward-and-backward-direction force from the time-series data (the data y)
of the measured value y
k of the forward-and-backward-direction force. In the following explanation, the time-series
data resulting from the subtraction of the time-series data of the predicted value
y^
k of the forward-and-backward-direction force from the time-series data (the data y)
of the measured value y
k of the forward-and-backward-direction force are referred to as time-series data of
a high-frequency component of the forward-and-backward-direction force as necessary.
Further, a value of the time-series data of the high-frequency component of the forward-and-backward-direction
force at each sampling time is referred to as a value of the high-frequency component
of the forward-and-backward-direction force as necessary.
[0134] Fig. 11 is a view illustrating one example of the time-series data of the high-frequency
component of the forward-and-backward-direction force. The vertical axis in Fig. 11
indicates the time-series data of the high-frequency components of the forward-and-backward-direction
forces T
1, T
2, T
3, and T
4. That is, the high-frequency components of the forward-and-backward-direction forces
T
1, T
2, T
3, and T
4 illustrated on the vertical axis in Fig. 11 are ones obtained by subtracting the
calculated values from the measured values of the forward-and-backward-direction forces
T
1, T
2, T
3, and T
4 in the wheel sets 13a, 13b, 13c, and 13d that are illustrated in Fig. 10 respectively.
Further, the horizontal axis in Fig. 11 indicates a measuring time and a calculating
time of the forward-and-backward-direction forces T
1 to T
4, each of which is an elapsed time (second) from a reference time when the reference
time is set to 0 (zero), similarly to the horizontal axis in Fig. 10.
[0135] The first frequency adjustment unit 404 derives the time-series data of the high-frequency
components of the forward-and-backward-direction forces T
1 to T
4 as above.
[Filter operation unit 405, S703]
[0136] The filter operation unit 405 sets the observation equation as the observation equation
stored by the observation equation storage unit 402, sets the state equation as the
state equation stored by the state equation storage unit 401, and determines estimated
values of the state variables illustrated in (44) Equation by the Kalman filter. At
this time, the filter operation unit 405 uses, out of pieces of the measured data
acquired in the data acquisition unit 403, the measured data excluding the forward-and-backward-direction
forces T
1 to T
4 and the time-series data of the high-frequency components of the forward-and-backward-direction
forces T
1 to T
4 generated in the first frequency adjustment unit 404. As described previously, in
this embodiment, in the measured data, the measured value of the acceleration of the
vehicle body 11 in the right and left direction, the measured values of the accelerations
of the bogies 12a, 12b in the right and left direction, and the measured values of
the accelerations of the wheel sets 13a to 13d in the right and left direction are
contained. As for the forward-and-backward-direction forces T
1 to T
4 in the wheel sets 13a to 13d, the time-series data of the high-frequency components
of the forward-and-backward-direction forces T
1 to T
4 generated in the first frequency adjustment unit 404 are used without using the measured
data (the measured values) acquired in the data acquisition unit 403.
[0137] The Kalman filter is one of the methods of performing data assimilation. That is,
the Kalman filter is one example of the method to determine an estimated value of
an unobserved variable (state variable) so as to make the difference between, of an
observable variable (observation variable), a measured value and an estimated value
small (minimum). The filter operation unit 405 derives a Kalman gain at which the
difference between, of the observation variable, the measured value and the estimated
value becomes small (minimum) and derives the estimated value of the unobserved variable
(state variable) at that time. In the Kalman filter, the following observation equation
of (58) Equation and the following state equation of (59) Equation are used.

[0138] In (58) Equation, Y is a vector in which the measured value of the observation variable
is stored. H is an observation model. X is a vector in which the state variable is
stored. V is observation noise. In (59) Equation, X · indicates a time differentiation
of X. Φ is a linear model. W is system noise. Incidentally, the Kalman filter itself
can be fabricated by a well-known technique, and thus its detailed explanation is
omitted.
[0139] The filter operation unit 405 determines the estimated values of the state variables
illustrated in (44) Equation with a predetermined sampling period, to thereby generate
time-series data of the estimated values of the state variables illustrated in (44)
Equation.
[Second frequency adjustment unit 406, S704]
[0140] Unless the signal strength of the low-frequency component contained in the time-series
data of the measured value of the forward-and-backward-direction force is removed
sufficiently by the first frequency adjustment unit 404, the signal of the low-frequency
component due to the railway vehicle traveling on the curved track may be left in
the time-series data of the estimated values of the state variables generated by the
filter operation unit 405. Thus, the second frequency adjustment unit 406 reduces
(preferably removes) the signal strength of the low-frequency component contained
in the time-series data of the estimated values of the state variables (the second
physical quantity) generated by the filter operation unit 405. Incidentally, in the
case where it is possible to determine the number s of the eigenvalues to be extracted
from the autocorrelation matrix R illustrated in (53) Equation so as to sufficiently
remove the signal strength of the low-frequency component contained in the time-series
data of the measured value of the forward-and-backward-direction force by the first
frequency adjustment unit 404, the processing of the second frequency adjustment unit
406 is no longer required.
[0141] In this embodiment, the second frequency adjustment unit 406 uses the corrected AR
model to reduce the signal strength of the low-frequency component contained in the
time-series data of the estimated values of the state variables similarly to the first
frequency adjustment unit 404.
[0142] The second frequency adjustment unit 406 performs the following processing for each
state variable with a predetermined sampling period.
[0143] As the physical quantity in the explanation of the previously-described corrected
AR model, the state variable is applied here. That is, the data y of the state variable
result in the time-series data of the estimated values of the state variables generated
by the filter operation unit 405. The estimated values of the state variables each
vary according to the state of the railway vehicle.
[0144] First, the second frequency adjustment unit 406 generates the autocorrelation matrix
R using (49) Equation and (51) Equation based on the data y of the estimated values
of the state variables and the preset numbers M and m.
[0145] Then, the second frequency adjustment unit 406 performs singular value decomposition
on the autocorrelation matrix R, to thereby derive the orthogonal matrix U and the
diagonal matrix Σ of Equation (52), and derives the eigenvalues σ
11 to σ
mm of the autocorrelation matrix R from the diagonal matrix Σ.
[0146] Then, the second frequency adjustment unit 406 chooses s pieces of the eigenvalues
σ
11 to σ
ss from the largest from among the plural eigenvalues σ
11 to σ
mm of the autocorrelation matrix R as the eigenvalues of the autocorrelation matrix
R to be used for deriving the coefficient
α of the corrected AR model. s is preset for each state variable. For example, the
railway vehicle is made to travel on the track 16, to then obtain the data y of the
estimated value of each of the state variables in such a manner as explained so far.
Then, a distribution of the eigenvalues of the autocorrelation matrix R is made individually
for each state variable. From the distributions of the eigenvalues of the autocorrelation
matrix R, the number s of the eigenvalues to be extracted from the autocorrelation
matrix R illustrated in (53) Equation is determined for each of the state variables.
[0147] Then, the second frequency adjustment unit 406 determines the coefficient
α of the corrected AR model using (57) Equation based on the data y of the estimated
value of the state variable, the eigenvalues σ
11 to σ
ss, and the orthogonal matrix U obtained by the singular value decomposition of the
autocorrelation matrix R.
[0148] Then, the second frequency adjustment unit 406 derives the predicted value y^
k of the data y of the estimated value of the state variable at the time k from (45)
Equation based on the coefficient
α of the corrected AR model and the data y of the estimated value of the state variable.
Time-series data of the predicted value y^
k of the state variable result in the time-series data from which the low-frequency
component contained in the data y of the estimated value of the state variable has
been extracted.
[0149] Then, the second frequency adjustment unit 406 subtracts the time-series data of
the predicted value y^
k of the state variable from the data y of the estimated value of the state variable.
In the following explanation, time-series data resulting from the subtraction of the
time-series data of the predicted value y^
k of the state variable from the data y of the estimated value of the state variable
are referred to as time-series data of a high-frequency component of the state variable
as necessary.
[First track state calculation unit 407, S705]
[0151] In this embodiment, as illustrated in (60) Equation to (63) Equation, relational
expressions representing the relations between the forward-and-backward-direction
forces T
1 to T
4 and the alignment irregularity amounts y
R1 to y
R4 at the positions of the wheel sets 13a to 13d are set.
[0152] The first track state calculation unit 407 calculates estimated values of the pivot
amounts (angular displacements)
φw1 to
φw4 of the wheel sets 13a to 13d in the yawing direction by (30) Equation to (33) Equation.
Then, the first track state calculation unit 407 gives the estimated values of the
pivot amounts (angular displacements)
φw1 to
φw4 of the wheel sets 13a to 13d in the yawing direction, the values of the high-frequency
components of the state variables generated in the second frequency adjustment unit
406, and the values of the high-frequency components of the forward-and-backward-direction
forces T
1 to T
4 generated in the first frequency adjustment unit 404 to (60) Equation to (63) Equation,
to thereby calculate the alignment irregularity amounts y
R1 to y
R4 at the positions of the wheel sets 13a to 13d. The state variables to be used here
are the displacements y
t1 to y
t2 of the bogies 12a, 12b in the right and left direction, the velocities y
t1 · to y
t2 · of the bogies 12a, 12b in the right and left direction, the displacements y
w1 to y
w4 of the wheel sets 13a to 13d in the right and left direction, and the velocities
y
w1 · to y
w4 · of the wheel sets 13a to 13d in the right and left direction. The first track state
calculation unit 407 performs such a calculation of the alignment irregularity amounts
y
R1 to y
R4 as above with a predetermined sampling period, to thereby obtain the time-series
data of the alignment irregularity amounts y
R1 to Y
R4.
[0153] Then, the first track state calculation unit 407 calculates an alignment irregularity
amount y
R from the alignment irregularity amounts y
R1 to y
R4. For example, the first track state calculation unit 407 matches phases of the time-series
data of the alignment irregularity amounts y
R2 to y
R4 to a phase of the time-series data of the alignment irregularity amount y
R1. That is, the first track state calculation unit 407 calculates, from the distance
between the wheel set 13a and the wheel sets 13b to 13d in the forward and backward
direction and the velocity of the railway vehicle, a delay time between the time when
the wheel set 13a passes through a certain position and the time when the wheel sets
13b to 13d pass through the certain position. The first track state calculation unit
407 displaces the phases of the time-series data of the alignment irregularity amounts
y
R2 to y
R4 by this delay time.
[0154] The first track state calculation unit 407 calculates an arithmetic mean value of
the sum of the values of the alignment irregularity amounts y
R1 to y
R4 whose phases are matched at the same sampling time as the alignment irregularity
amount y
R at this sampling time. The first track state calculation unit 407 performs such a
calculation at each sampling time, to thereby obtain time-series data of the alignment
irregularity amount y
R. The phases of the alignment irregularity amounts y
R2 to y
R4 are matched to the phase of the alignment irregularity amount y
R1, thereby making it possible to cancel disturbance factors existing in common in the
time-series data of the alignment irregularity amounts y
R1 to y
R4.
[0155] Incidentally, the first track state calculation unit 407 may find a moving average
of each of the alignment irregularity amounts y
R1 to y
R4 whose phases are matched (namely, pass each of the alignment irregularity amounts
y
R1 to y
R4 through a low-pass filter) and calculate the alignment irregularity amount y
R from the alignment irregularity amounts y
R1 to y
R4 whose moving averages have been found.
[0156] Further, the first track state calculation unit 407 may calculate, as the alignment
irregularity amount y
R, an arithmetic mean value of two of the values of the alignment irregularity amounts
y
R1 to y
R4 whose phases are matched at the same sampling time from which the maximum value and
the minimum value are removed.
[0157] The inspection apparatus 400 uses the measured data at each sampling time acquired
by the data acquisition unit 403 while the railway vehicle is traveling in the entire
traveling section of the railway vehicle, to execute pieces of the processing of the
first frequency adjustment unit 404, the filter operation unit 405, the second frequency
adjustment unit 406, and the first track state calculation unit 407.
[0158] In this manner, the first track state calculation unit 407 can obtain the alignment
irregularity amount y
R at each sampling time while the railway vehicle is traveling in the entire traveling
section. The first track state calculation unit 407 calculates a traveling position
of the railway vehicle at each sampling time based on, for example, a traveling velocity
of the railway vehicle and an elapsed time from the time when the railway vehicle
starts to travel. In this embodiment, the case where the traveling position of the
railway vehicle is the position of the wheel set 13a is explained as an example. The
first track state calculation unit 407 calculates the alignment irregularity amount
y
R at each traveling position of the railway vehicle based on the alignment irregularity
amount y
R at each sampling time and the traveling position of the railway vehicle at each sampling
time. In the following explanation, the value calculated in this manner is referred
to as an estimated value of the alignment irregularity amount at each position in
the entire traveling section of the railway vehicle or an estimated value of the alignment
irregularity amount as necessary.
[0159] Incidentally, the first track state calculation unit 407 does not always need to
calculate the traveling position of the railway vehicle at each sampling time as described
previously. For example, the first track state calculation unit 407 may derive the
traveling position of the railway vehicle at each sampling time by using a GPS (Global
Positioning System) .
[Actual value acquisition unit 408, S706]
[0160] The actual value acquisition unit 408 acquires an actual measured value of the alignment
irregularity amount at each position in the entire traveling section of the railway
vehicle. The actual measured value of the alignment irregularity amount at each position
in the entire traveling section of the railway vehicle is set to be measured before
the second preprocessing is started. The timing for acquiring the actual measured
value of the alignment irregularity amount at each position in the entire traveling
section of the railway vehicle is not limited to a period between Step S705 and Step
S707. The timing for acquiring the actual measured value of the alignment irregularity
amount at each position in the entire traveling section of the railway vehicle may
be any timing as long as it is the timing prior to Step S707. For example, the actual
value acquisition unit 408 may acquire the actual measured value of the alignment
irregularity amount at each position in the entire traveling section of the railway
vehicle before the flowchart in Fig. 7 is started. In the following explanation, the
actual measured value of the alignment irregularity amount at each position in the
entire traveling section of the railway vehicle is referred to as an actual measured
value of the alignment irregularity amount or an actual measured value as necessary.
[0161] The actual measured value of the alignment irregularity amount is a value to be obtained
by directly measuring the alignment irregularity amount. The actual measured value
of the alignment irregularity amount can be obtained as follows, for example. A test
vehicle provided with a sensor that directly measures the alignment irregularity amount
is made to travel. The direct measurement of the alignment irregularity amount by
the sensor during traveling of the test vehicle is performed repeatedly in a predetermined
cycle, to thereby obtain the alignment irregularity amount in the entire traveling
section of the railway vehicle. Besides, the actual measured value of the alignment
irregularity amount can also be obtained by using the measuring device described in
Patent Literature 2, for example. As above, the actual measured value of the alignment
irregularity amount can be obtained by a well-known technique. Thus, its detailed
explanation is omitted here.
[0162] Fig. 12A and Fig. 12B to Fig. 14A and Fig. 14B are views illustrating first to sixth
examples of the relation between the estimated value of the alignment irregularity
amount (y
R), the actual value of the alignment irregularity amount (y
R), the traveling velocity of the railway vehicle (v), and the curvature of the track
16 (rail) (1/R) and the distance from the starting point of the railway vehicle respectively.
Incidentally, the estimated value of the alignment irregularity amount is the one
calculated by the first track state calculation unit 407. The actual value of the
alignment irregularity amount is the one acquired by the actual value acquisition
unit 408. Further, in Fig. 12A and Fig. 12B to Fig. 14A and Fig. 14B, for convenience
of notation, illustration of data of a portion where the distance from the starting
point of the railway vehicle is small is omitted.
[0163] In Fig. 12A and Fig. 12B to Fig. 14A and Fig. 14B, graphs 1211, 1221, 1311, 1321,
1411, and 1421 each indicate the estimated value of the alignment irregularity amount
calculated by the first track state calculation unit 407. Graphs 1212, 1222, 1312,
1322, 1412, and 1422 each indicate the actual value of the alignment irregularity
amount acquired by the actual value acquisition unit 408. Graphs 1213, 1223, 1313,
1323, 1413, and 1423 each indicate the traveling velocity of the railway vehicle.
Graphs 1214, 1224, 1314, 1324, 1414, and 1424 each indicate the curvature 1/R of the
track 16 (rail).
[0164] In Fig. 12A and Fig. 12B to Fig. 14A and Fig. 14B, the fact that the curvature 1/R
is 0 (zero) indicates the linear track, and the fact that the curvature 1/R is a value
other than 0 (zero) indicates the curved track.
[0165] Fig. 12A and Fig. 12B illustrate that the graphs 1214 and 1224 are the same and the
traveling sections are the same. Fig. 12A and Fig. 12B illustrate that the traveling
velocities of the railway vehicle are different as illustrated in the graphs 1213,
1223. This reveals that due to the different traveling velocities of the railway vehicle
in the same traveling section, as illustrated in the graphs 1211, 1221, the estimated
values of the alignment irregularity amount are different but the difference is not
so large.
[0166] Further, the graphs 1212 and 1222 (the actual values of the alignment irregularity
amount) are the same. As illustrated in the graphs 1211, 1212, it becomes clear that
there is a difference between the estimated value of the alignment irregularity amount
calculated by the first track state calculation unit 407 and the actual value of the
alignment irregularity amount acquired by the actual value acquisition unit 408. The
same is true of the graphs 1221, 1222.
[0167] As above, it becomes clear that the estimation accuracy of the alignment irregularity
amount decreases depending on the traveling state of the railway vehicle and the installation
state of the track 16.
[0168] As illustrated in the graphs 1214, 1224, the traveling sections illustrated in Fig.
12A and Fig. 12B are a sharp curve with a curvature radius R of 171 m. Therefore,
the railway vehicle is in flange contact with the track 16.
[0169] Here, the flange contact is explained. Fig. 15 is a view explaining one example of
the flange contact. Fig. 15 illustrates a cross section of the case where left and
right rails of a track 16 and a single wheel set 13 are cut perpendicularly to the
traveling direction of a railway vehicle (x axis direction). Further, Fig. 15 illustrates
a state of the wheel set 13 in the case where the track 16 (rail) is curved to the
right (in the negative direction of the y axis) and the railway vehicle is traveling
while curving to the right. Incidentally, Fig. 15 also illustrates a lateral creep
force F
yLi and a normal load N
Li in a left wheel 14L and a lateral creep force F
yRi and a normal load N
Ri in a right wheel 14R.
[0170] As illustrated in Fig. 15, when traveling on the rail curved to the right, the railway
vehicle receives an acting force in the left direction (the positive direction of
the y axis) and the wheel set 13 moves to the left, and thereby reaction forces in
the left and right direction from the contact position between the wheel 14L and the
rail and the contact position between the wheel 14R and the rail increase to reach
a force balance point. When this acting force further increases, the wheel set 13
further moves to the left, and when a contact angle
αL becomes the same as a flange angle a
L of the left wheel 14L, the left wheel 14L is to come into contact with the rail at
a flange, as illustrated in Fig. 15. Such a contact is referred to as the flange contact.
In the meantime, in this state, the right wheel 14R comes into contact with the rail
at a tread.
[0171] Fig. 13A and Fig. 13B illustrate that the graphs 1314 and 1324 are the same and the
traveling sections are the same. As illustrated in the graphs 1314, 1324, the curvature
1/R is 0 (zero), and thus it becomes clear that the traveling sections illustrated
in Fig. 13A and Fig. 13B are a linear track. Fig. 13A and Fig. 13B illustrate that
the traveling velocities of the railway vehicle are different as illustrated in the
graphs 1313, 1323. This reveals that due to the different traveling velocities of
the railway vehicle in the same traveling section, as illustrated in the graphs 1311,
1321, the estimated values of the alignment irregularity amount are different but
the difference is not so large. Further, in Fig. 13A and Fig. 13B, an S/N ratio of
the measured value of the forward-and-backward-direction force decreases because the
traveling velocity of the railway vehicle decreases to 30 km/h or less. Thus, as illustrated
in the graphs 1311, 1321, a high-frequency noise is mixed into the estimated value
of the alignment irregularity amount. However, it becomes clear that a feature amount
of the alignment irregularity amount (such as a way how the graph changes) is captured
in the graphs 1311, 1321.
[0172] Further, the graphs 1312 and 1322 (the actual values of the alignment irregularity
amount) are the same. As illustrated in the graphs 1311, 1312, it becomes clear that
there is a difference between the estimated value of the alignment irregularity amount
calculated by the first track state calculation unit 407 and the actual value of the
alignment irregularity amount acquired by the actual value acquisition unit 408. The
same is true of the graphs 1321, 1322.
[0173] As above, it becomes clear that the estimation accuracy of the alignment irregularity
amount decreases depending on the traveling state of the railway vehicle.
[0174] Fig. 14A and Fig. 14B illustrate that the graphs 1414 and 1424 are the same and the
traveling sections are the same. Fig. 14A and Fig. 14B illustrate that the traveling
velocities of the railway vehicle are different as illustrated in the graphs 1413,
1423. This reveals that due to the different traveling velocities of the railway vehicle
in the same traveling section, as illustrated in the graphs 1411, 1421, the estimated
values of the alignment irregularity amount are different but the difference is not
so large. Further, the graphs 1412 and 1422 (the actual values of the alignment irregularity
amount) are the same. As illustrated in the graphs 1411, 1412, it becomes clear that
there is a difference between the estimated value of the alignment irregularity amount
calculated by the first track state calculation unit 407 and the actual value of the
alignment irregularity amount acquired by the actual value acquisition unit 408. The
same is true of the graphs 1421, 1422.
[0175] As illustrated in the graphs 1414, 1424, the traveling sections illustrated in Fig.
14A and Fig. 14B are a gentle curve with the curvature radius R of 993 m, and the
railway vehicle does not come into flange contact with the track 16.
[0176] As above, it becomes clear that the estimation accuracy of the alignment irregularity
amount decreases depending on the installation state of the track 16.
[Correction amount calculation unit 409, correction amount storage unit 410, S707
to S711]
[0177] The correction amount calculation unit 409 calculates, when the estimated value of
the alignment irregularity amount at each position in the entire traveling section
of the railway vehicle is calculated by the first track state calculation unit 407,
a correction amount at each position in the entire traveling section of the railway
vehicle. The correction amount at each position in the entire traveling section of
the railway vehicle is the correction amount for the estimated value of the alignment
irregularity amount at each position in the entire traveling section of the railway
vehicle, which is calculated by the later-described second track state calculation
unit 411.
[0178] The correction amount calculation unit 409 calculates the correction amount at each
position in the entire traveling section of the railway vehicle based on the estimated
value of the alignment irregularity amount at each position in the entire traveling
section of the railway vehicle that is calculated by the first track state calculation
unit 407 and the actual measured value of the alignment irregularity amount at each
position in the entire traveling section of the railway vehicle that is acquired by
the actual value acquisition unit 408.
[0179] In this embodiment, the correction amount calculation unit 409 calculates the correction
amount at each position in the entire traveling section of the railway vehicle as
follows.
[0180] The correction amount calculation unit 409 extracts a pair of values at the same
position, which is a pair of the estimated value of the alignment irregularity amount
that is calculated by the first track state calculation unit 407 and the actual measured
value of the alignment irregularity amount that is acquired by the actual value acquisition
unit 408. The correction amount calculation unit 409 calculates, as the correction
amount at the position, a value obtained by subtracting the extracted actual measured
value of the alignment irregularity amount from the extracted estimated value of the
alignment irregularity amount. The correction amount calculation unit 409 performs
such a calculation of the correction amount by using the estimated value of the alignment
irregularity amount and the actual measured value of the alignment irregularity amount
at each position in the entire traveling section of the railway vehicle. In this manner,
the correction amount at each position in the entire traveling section of the railway
vehicle is calculated.
[0181] In this embodiment, when the railway vehicle travels through the entire traveling
section once, the correction amount calculation unit 409 calculates one set of correction
amounts at all the positions in the entire traveling section of the railway vehicle
(Step S707).
[0182] Incidentally, the correction amount calculation unit 409 performs interpolation processing
on the correction amount at each position in the entire traveling section of the railway
vehicle, thereby being able to calculate the correction amounts at all the positions
of the entire traveling section of the railway vehicle.
[0183] In the following explanation, the correction amount at each position in the entire
traveling section of the railway vehicle, which is obtained in this manner by the
railway vehicle traveling through the entire traveling section once, is referred to
as a first correction amount at each position in the entire traveling section of the
railway vehicle or a first correction amount as necessary.
[0184] The first correction amount at each position in the entire traveling section of the
railway vehicle may be set to the correction amount for the estimated value of the
alignment irregularity amount at each position in the entire traveling section of
the railway vehicle. However, in this embodiment, the correction amount calculation
unit 409 calculates, as the first correction amount at a certain position in the entire
traveling section of the railway vehicle, the correction amount for the estimated
value of the alignment irregularity amount at the certain position by using a plurality
of first correction amounts. This is because it is possible to improve the accuracy
of the correction amount for the estimated value of the alignment irregularity amount.
[0185] In this embodiment, as one example, an addition mean value of a plurality of the
first correction amounts is set to the correction amount for the estimated value of
the alignment irregularity amount at each position in the entire traveling section
of the railway vehicle. In the following explanation, the correction amount for the
estimated value of the alignment irregularity amount at each position in the entire
traveling section of the railway vehicle, which is obtained in this manner by using
a plurality of the first correction amounts, is referred to as a second correction
amount at each position in the entire traveling section of the railway vehicle, or
a second correction amount as necessary.
[0186] The correction amount calculation unit 409 stores, when the first correction amount
at each position in the entire traveling section of the railway vehicle is obtained,
this first correction amount at each position in the entire traveling section of the
railway vehicle temporarily (Step S708).
[0187] Then, the correction amount calculation unit 409 determines whether or not a predetermined
number of first correction amounts necessary for calculating the addition mean value
have been obtained (Step S709). The predetermined number may be any number as long
as it is two or more. As a result of this determination, in the case where a predetermined
number of first correction amounts necessary for calculating the addition mean value
have not been obtained (NO at Step S709), the inspection apparatus 400 performs Steps
S701 to S708 described previously when the railway vehicle is traveling in the entire
traveling section again, and stores a new first correction amount.
[0188] When a predetermined number of the first correction amounts necessary for calculating
the addition mean value are obtained as above (YES at Step S709), the correction amount
calculation unit 409 calculates the addition mean value of a predetermined number
of the first correction amounts as the second correction amount (Step S710). The correction
amount storage unit 410 stores the second correction amount (Step S711). As described
previously, the second correction amount is the correction amount for the estimated
value of the alignment irregularity amount, and is used in the later-described track
state correction unit 412.
[0189] After the second correction amount is stored in the correction amount storage unit
410 as above, the data acquisition unit 403, the first frequency adjustment unit 404,
the filter operation unit 405, the second frequency adjustment unit 406, the second
track state calculation unit 411, the track state correction unit 412, and the output
unit 413 start. That is, after the second preprocessing by the flowchart in Fig. 7
is finished, the main processing by the flowchart in Fig. 8 is started. At the time
of the main processing, the first track state calculation unit 407, the actual value
acquisition unit 408, and the correction amount calculation unit 409 do not start.
Further, the flowchart in Fig. 8 is executed repeatedly every time the sampling time
arrives.
[0190] Fig. 16A to Fig. 16C are views illustrating first to third examples of the relation
between a second correction amount M and the distance from the starting point of the
railway vehicle respectively. Fig. 16A illustrates the second correction amount M
obtained from the results illustrated in Fig. 12A and Fig. 12B. Fig. 16B illustrates
the second correction amount M obtained from the results illustrated in Fig. 13A and
Fig. 13B. Fig. 16C illustrates the second correction amount M obtained from the results
illustrated in Fig. 14A and Fig. 14B.
[Data acquisition unit 403, S801]
[0191] The data acquisition unit 403 acquires measured data with a predetermined sampling
period. At Step S801, the data acquisition unit 403 acquires one set of measured data
at a sampling time. Incidentally, the measured data to be acquired by the data acquisition
unit 403 are the same in objects to be measured as the measured data to be acquired
at Step S701, and thus, their detailed explanation is omitted here.
[First frequency adjustment unit 404, S802]
[0192] The first frequency adjustment unit 404 reduces (preferably removes) the signal strength
of the low-frequency component contained in the time-series data of the measured value
of the forward-and-backward-direction force out of the measured data acquired by the
data acquisition unit 403. Incidentally, the processing at Step S802 is the same as
that at Step S702, and thus its detailed explanation is omitted here .
[0193] However, at Step S702, the first frequency adjustment unit 404 derives the time-series
data from which the low-frequency component contained in the data y of the measured
value of the forward-and-backward-direction force has been extracted after the measured
data in the entire traveling section of the railway vehicle are obtained. In contrast
to this, at Step S802, the first frequency adjustment unit 404 derives the time-series
data from which the low-frequency component contained in the data y of the measured
value of the forward-and-backward-direction force has been extracted every time the
data acquisition unit 403 acquires the value y
k of the data y of the measured value of the forward-and-backward-direction force at
the time k with a predetermined sampling period.
[Filter operation unit 405, S803]
[0194] The filter operation unit 405 sets the observation equation as the observation equation
stored by the observation equation storage unit 402, sets the state equation as the
state equation stored by the state equation storage unit 401, and determines estimated
values of the state variables illustrated in (44) Equation by the Kalman filter. Incidentally,
the processing at Step S803 is the same as that at Step S703, and thus its detailed
explanation is omitted here .
[Second frequency adjustment unit 406, S804]
[0195] The second frequency adjustment unit 406 reduces (preferably removes) the signal
strength of the low-frequency component contained in the time-series data of the estimated
values of the state variables generated by the filter operation unit 405. Incidentally,
the processing at Step S804 is the same as that at Step S704, and thus its detailed
explanation is omitted here.
[Second track state calculation unit 411, S805]
[0196] The second track state calculation unit 411 calculates the alignment irregularity
amounts y
R1 to y
R4 and calculates, as the estimated value of the alignment irregularity amount, the
alignment irregularity amount y
R from the alignment irregularity amounts y
R1 to y
R4. The processing at Step S805 is the same as that at Step S705, and thus its detailed
explanation is omitted here. However, at Step S705, the second track state calculation
unit 411 calculates the estimated value of the alignment irregularity amount at each
position in the entire traveling section of the railway vehicle. In contrast to this,
at Step S805, the second track state calculation unit 411 calculates the estimated
value of the alignment irregularity amount at a traveling position of the railway
vehicle corresponding to the current sampling time.
[Track state correction unit 412, S806]
[0197] The track state correction unit 412 reads the second correction amount at the traveling
position of the railway vehicle corresponding to the current sampling time from the
correction amount storage unit 410. The track state correction unit 412 uses the second
correction amount at the traveling position of the railway vehicle corresponding to
the current sampling time, which is read from the correction amount storage unit 410,
to correct the estimated value of the alignment irregularity amount at the traveling
position of the railway vehicle corresponding to the current sampling time, which
is calculated by the second track state calculation unit 411.
[0198] In this embodiment, the track state correction unit 412 subtracts the second correction
amount at the traveling position of the railway vehicle corresponding to the current
sampling time that is read from the correction amount storage unit 410 from the estimated
value of the alignment irregularity amount at the traveling position of the railway
vehicle corresponding to the current sampling time that is calculated by the second
track state calculation unit 411, to thereby correct the estimated value of the alignment
irregularity amount at the traveling position of the railway vehicle corresponding
to the current sampling time that is calculated by the second track state calculation
unit 411. In the following explanation, the estimated value of the alignment irregularity
amount at the traveling position of the railway vehicle corresponding to the current
sampling time, which is corrected in this manner, is referred to as a corrected estimated
value of the alignment irregularity amount as necessary. The corrected estimated value
of the alignment irregularity amount becomes the estimated value of the final alignment
irregularity amount.
[0199] Incidentally, in the case where the correction amount calculation unit 409 sets the
second correction amount to the value obtained by subtracting the estimated value
of the alignment irregularity amount from the actual measured value of the alignment
irregularity amount, the track state correction unit 412 corrects the estimated value
of the alignment irregularity amount at the traveling position of the railway vehicle
corresponding to the current sampling time that is calculated by the second track
state calculation unit 411 as follows. That is, the track state correction unit 412
adds the estimated value of the alignment irregularity amount at the traveling position
of the railway vehicle corresponding to the current sampling time that is calculated
by the second track state calculation unit 411 and the second correction amount at
the traveling position of the railway vehicle corresponding to the current sampling
time that is read from the correction amount storage unit 410 together, to thereby
correct the estimated value of the alignment irregularity amount at the traveling
position of the railway vehicle corresponding to the current sampling time that is
calculated by the second track state calculation unit 411.
[0200] Fig. 17A and Fig. 17B to Fig. 19A and Fig. 19B are views illustrating first to sixth
examples of the relation between the corrected estimated value of the alignment irregularity
amount and the distance from the starting point of the railway vehicle respectively.
Incidentally, here, for simplicity, it is assumed that the estimated value of the
alignment irregularity amount calculated by the second track state calculation unit
411 is the same as the estimated value of the alignment irregularity amount calculated
by the first track state calculation unit 407.
[0201] That is, graphs 1711 and 1721 in Fig. 17A and Fig. 17B illustrate corrected estimated
values of the alignment irregularity amount obtained by correcting the estimated values
of the alignment irregularity amount (the graphs 1211, 1221) illustrated in Fig. 12A
and Fig. 12B by the correction amount M illustrated in Fig. 16A respectively. Further,
the graphs 1212, 1222, 1712, and 1722 (the actual values of the alignment irregularity
amount) are the same.
[0202] Graphs 1811 and 1821 in Fig. 18A and Fig. 18B illustrate corrected estimated values
of the alignment irregularity amount obtained by correcting the estimated values of
the alignment irregularity amount (the graphs 1311, 1321) illustrated in Fig. 13A
and Fig. 13B by the correction amount M illustrated in Fig. 16B respectively. Further,
the graphs 1312, 1322, 1812, and 1822 (the actual values of the alignment irregularity
amount) are the same.
[0203] Graphs 1911 and 1921 in Fig. 19A and Fig. 19B illustrate corrected estimated values
of the alignment irregularity amount obtained by correcting the estimated values of
the alignment irregularity amount (the graphs 1411, 1421) illustrated in Fig. 14A
and Fig. 14B by the correction amount M illustrated in Fig. 16C respectively. Further,
the graphs 1412, 1422, 1912, and 1922 (the actual values of the alignment irregularity
amount) are the same.
[0204] As illustrated in Fig. 17A and Fig. 17B to Fig. 19A and Fig. 19B, it becomes clear
that in all the cases, the corrected estimated value of the alignment irregularity
amount agrees with the actual measured value with high accuracy.
[Output unit 413, S807]
[0205] The output unit 413 outputs information of the corrected estimated value of the alignment
irregularity amount that is calculated by the track state correction unit 412. At
this time, the output unit 413 may output information indicating that the track 16
is abnormal in the where the corrected estimated value of the alignment irregularity
amount is larger than a preset value. As a form of output, it is possible to employ
at least any one of displaying the information on a computer display, transmitting
the information to an external device, and storing the information in an internal
or external storage medium, for example.
<Summary>
[0206] In this embodiment as above, the inspection apparatus 400 acquires the measured values
of the forward-and-backward-direction forces T
1 to T
4 by making the railway vehicle travel. The inspection apparatus 400 uses the measured
values of the forward-and-backward-direction forces T
1 to T
4 and the relational expression between the forward-and-backward-direction forces T
1 to T
4 and the alignment irregularity amounts y
R1 to y
R4 at the positions of the wheel sets 13a to 13d to derive the estimated value of the
alignment irregularity amount at each position in the entire traveling section of
the railway vehicle. The inspection apparatus 400 uses the estimated value and the
actual measured value of the alignment irregularity amount at each position in the
entire traveling section of the railway vehicle to calculate the second correction
amount as the correction amount for the estimated value of the alignment irregularity
amount at each position in the entire traveling section of the railway vehicle. Thereafter,
the inspection apparatus 400 derives the estimated value of the alignment irregularity
amount at the traveling position of the railway vehicle as described previously by
making the railway vehicle travel. The inspection apparatus 400 corrects the estimated
value of the alignment irregularity amount at the traveling position of the railway
vehicle, which is derived in this manner, by the second correction amount at this
traveling position. Accordingly, it is possible to detect the irregularity in the
track 16 of the railway vehicle with high accuracy without using a special measuring
apparatus.
[0207] Further, in this embodiment, the inspection apparatus 400 reduces the signal strength
of the low-frequency components contained in the time-series data of the measured
values of the forward-and-backward-direction forces T
1 to T
4 and generates the time-series data of the high-frequency components of the forward-and-backward-direction
forces T
1 to T
4. The inspection apparatus 400 gives the time-series data of the high-frequency components
of the forward-and-backward-direction forces T
1 to T
4 to the relational expression between the forward-and-backward-direction forces T
1 to T
4 and the alignment irregularity amounts y
R1 to y
R4 at the positions of the wheel sets 13a to 13d, to thereby calculate the alignment
irregularity amounts y
R1 to y
R4 at the positions of the wheel sets 13a to 13d. This relational expression is an expression
based on the motion equations that describe the motions of the railway vehicle when
traveling on the linear track (namely, the equations not including the curvature radius
R of the track 16 (the rail)). Accordingly, it is possible to detect the irregularity
in the curved track with high accuracy without using a special measuring apparatus.
[0208] Further, in this embodiment, the inspection apparatus 400 generates the autocorrelation
matrix R from the data y of the measured value of the forward-and-backward-direction
force, and by using s pieces of the eigenvalues from the largest chosen from the eigenvalues
obtained by the singular value decomposition of the autocorrelation matrix R, determines
the coefficient
α of the corrected AR model approximating the data y of the measured value of the forward-and-backward-direction
force. Accordingly, it is possible to determine the coefficient
α so as to make the signal of the low-frequency component contained in the data y of
the measured value of the forward-and-backward-direction force remain and prevent
the high-frequency component from remaining. The inspection apparatus 400 calculates
the predicted value y^
k of the forward-and-backward-direction force at the time k by giving the data y of
the measured value of the forward-and-backward-direction force at the time k - 1 (1
≦ 1 ≦ m), which is prior to the time k, to the corrected AR model whose coefficient
α is determined in this manner. Accordingly, it is possible to reduce the signal of
the low-frequency component, which is due to the railway vehicle traveling on the
curved track, from the data y of the measured value of the forward-and-backward-direction
force without estimating a cutoff frequency beforehand.
[0209] Further, in this embodiment, the inspection apparatus 400 gives, out of the measured
data acquired in the data acquisition unit 403, the measured data excluding the forward-and-backward-direction
forces T
1 to T
4 and the time-series data of the high-frequency components of the forward-and-backward-direction
forces T
1 to T
4 generated in the first frequency adjustment unit 404 to the Kalman filter, to derive
the state variables (y
w1 · to y
w4 ·, y
w1 to y
w4, y
t1 · to y
t2 ·, y
t1 to y
t2,
φt1 · to
φt2 ·
, φt1 to
φt2,
φt1 · to
φt2 ·
, φt1 to
φt2, y
b ·
, y
b,
φb ·
, φb,
φb · ,
φb,
φy1, φy2, φa1, and
φa2). Next, the inspection apparatus 400 reduces (preferably removes) the signal strength
of the low-frequency components contained in the time-series data of the estimated
values of the state variables, to thereby calculate the values of the high-frequency
components of the state variables. Next, the inspection apparatus 400 uses the values
of the high-frequency components of the pivot amounts (angular displacements)
φt1 to
φt2 of the bogies 12a, 12b in the yawing direction and the actual values of the transformation
variables e
1 to e
4, to derive the pivot amounts (angular displacements)
φw1 to
φw4 of the wheel sets 13a to 13d in the yawing direction. Next, the inspection apparatus
400 substitutes the pivot amounts (angular displacements)
φw1 to
φw4 of the wheel sets 13a to 13d in the yawing direction, the values of the high-frequency
components of the state variables, and the values of the high-frequency components
of the forward-and-backward-direction forces T
1 to T
4 into the motion equations that describe the yawings of the wheel sets 13a to 13d,
to calculate the alignment irregularity amounts y
R1 to y
R4 at the positions of the wheel sets 13a to 13d. Then, the inspection apparatus 400
calculates the alignment irregularity amount y
R from the alignment irregularity amounts y
R1 to y
R4 at the positions of the wheel sets 13a to 13d. Accordingly, it becomes no longer
necessary to constitute the state equation by using the motion equations including
the alignment irregularity amounts y
R1 to y
R4 at the positions of the wheel sets 13a to 13d as variables as the motion equations
that describe the yawings of the wheel sets 13a to 13d. Thereby, it becomes no longer
necessary to create a model of the track 16, and at the same time, it is possible
to reduce the number of state variables. In this embodiment, it is possible to reduce
the degrees of freedom of the model to 17 degrees of freedom from 21 degrees of freedom,
and at the same time, it is possible to reduce the number of state variables to 30
from 38. Further, the number of measured values to be used in the Kalman filter increases
by the forward-and-backward-direction forces T
1 to T
4.
[0210] On the other hand, when the motion equations that describe the yawings of the wheel
sets 13a to 13d of (5) Equation to (8) Equation are included in the state equation
without using the forward-and-backward-direction forces T
1 to T
4, the calculation sometimes becomes unstable, failing to obtain the estimated results.
That is, unless the state variables are selected, the calculation sometimes becomes
unstable, failing to obtain the estimated results. Further, even if the estimated
results are obtained, the accuracy to detect the irregularity of the track 16 becomes
higher in the method of this embodiment as compared to the method of not selecting
the state variables. This is because in this embodiment, not including the motion
equations that describe the yawings of the wheel sets 13a to 13d in the state equation
and using the measured value of the forward-and-backward-direction force are achieved.
[0211] Further, the strain gauges can be used as sensors in this embodiment, thus not requiring
special sensors. Accordingly, it is possible to accurately detect the irregularity
of the track 16 (track irregularity) inexpensively. Further, since it is not necessary
to use special sensors, the strain gauges are attached to a commercial vehicle and
the inspection apparatus 400 is mounted on the commercial vehicle, thereby making
it possible to detect the irregularity of the track 16 in real time during traveling
of the commercial vehicle. Accordingly, it is possible to detect the irregularity
of the track 16 without traveling of an inspection car. However, the strain gauges
may be attached to the inspection car and the inspection apparatus 400 may be mounted
on the inspection car.
<Modified example>
[0212] The case where the addition mean value of a plurality of the first correction amounts
is set to the correction amount for the estimated value of the alignment irregularity
amount at each position in the entire traveling section of the railway vehicle has
been explained as an example in this embodiment. However, it is not always necessary
to derive the correction amount for the estimated value of the alignment irregularity
amount at each position in the entire traveling section of the railway vehicle in
this manner.
[0213] For example, the inspection apparatus 400 calculates a plurality of first correction
amounts as the first correction amount at the same position in a state where the traveling
velocities of the railway vehicle are mutually different. The inspection apparatus
400 performs a regression analysis using a plurality of these first correction amounts
and calculates coefficients of a regression formula. An objective variable of the
regression formula is the second correction amount. An explanatory variable of the
regression formula includes the traveling velocity of the railway vehicle. The inspection
apparatus 400 derives such a regression formula at each position in the entire traveling
section of the railway vehicle. Thereafter, the inspection apparatus 400 (track state
correction unit 412) reads the regression formula corresponding to the traveling position
of the railway vehicle corresponding to the current sampling time from the correction
amount storage unit 410. Then, the inspection apparatus 400 (track state correction
unit 412) substitutes the traveling velocity of the railway vehicle corresponding
to the current sampling time into the regression formula to calculate the second correction
amount.
[0214] Further, it is not necessary to calculate the correction amount for the estimated
value of the alignment irregularity amount at a certain position in the entire traveling
section of the railway vehicle by using a plurality of the first correction amounts.
In this case, the correction amount for the estimated value of the alignment irregularity
amount at a certain position in the entire traveling section of the railway vehicle
is determined by the single first correction amount at the certain position. If the
above is performed, the accuracy of the correction amount for the estimated value
of the alignment irregularity amount may decrease. However, it becomes no longer necessary
to make the railway vehicle travel for a plurality of times in the second preprocessing.
For example, it is possible to determine which method to employ based on the combination
of the accuracy of the correction amount for the estimated value of the alignment
irregularity amount and the time and effort of the second preprocessing.
[0215] Further, the case where the data acquisition unit 403 acquires the measured data
in the entire traveling section of the railway vehicle at Step S701 in the flowchart
in Fig. 7 has been explained as an example. However, it is not always necessary to
constitute this embodiment as above. For example, similarly to the flowchart in Fig.
8, at Step S701, the data acquisition unit 403 may acquire one set of measured data
at the sampling time. In this case, the processing at Step S701 to the processing
at Step S708 are performed repeatedly for each traveling position of the railway vehicle
corresponding to the sampling time. This processing is performed repeatedly until
the correction amount at each position in the entire traveling section of the railway
vehicle (the first correction amount) is obtained.
[0216] Further, in this embodiment, the case where the measured values of the forward-and-backward-direction
force used in the first track state calculation unit 407 and the second track state
calculation unit 411 are the measured values in the same railway vehicle has been
explained as an example. In this case, the inspection apparatus 400 that calculates
the estimated value of the alignment irregularity amount and the inspection apparatus
400 that calculates the second correction amount result in the inspection apparatus
400 mounted on the same railway vehicle. This is preferable because it is possible
to prevent errors caused by the characteristics inherent in the railway vehicle from
being contained in the second correction amount. However, it is not always necessary
to constitute this embodiment as above. The same second correction amount may be used
for a plurality of railway vehicles of the same type that travel for the same traveling
section, for example. Further, the same second correction amount may be used for a
plurality of railway vehicles with the same route name.
[0217] Further, the case of using the corrected AR model has been explained as an example
in this embodiment. However, it is not always necessary to use the corrected AR model
and reduce the signal of the low-frequency component, which is due to the railway
vehicle traveling on the curved track, from the data y of the measured value of the
forward-and-backward-direction force. For example, in the case where it is possible
to specify a frequency band due to the railway vehicle traveling on the curved track,
a high-pass filter may be used to reduce the signal of the low-frequency component,
which is due to the railway vehicle traveling on the curved track, from the data y
of the measured value of the forward-and-backward-direction force.
[0218] Further, it is not always necessary to reduce the signal of the low-frequency component,
which is due to the railway vehicle traveling on the curved track, from the data y
of the measured value of the forward-and-backward-direction force. In the case of
calculating the alignment irregularity amount of the linear track, for example, it
is not necessary to do the above. In this case, the first frequency adjustment unit
404 and the second frequency adjustment unit 406 are no longer required.
[0219] Further, the case where the wheel set to be a standard when phase matching is the
wheel set 13a has been explained as an example in this embodiment. However, the wheel
set to be a standard may be the wheel set 13b, 13c, or 13d other than the wheel set
13a.
[0220] In this embodiment, the case of using the Kalman filter has been explained as an
example. However, it is not always necessary to use the Kalman filter as long as a
filter that derives the estimated values of the state variables so that the error
between, of the observation variable, the measured value and the estimated value becomes
minimum or the expected value of this error becomes minimum (that is, a filter that
performs data assimilation) is used. For example, a particle filter may be used. Incidentally,
as the error between, of the observation variable, the measured value and the estimated
value, for example, a square error between, of the observation variable, the measured
value and the estimated value is cited.
[0221] Further, in this embodiment, the case of deriving the alignment irregularity amount
has been explained as an example. However, it is not always necessary to derive the
alignment irregularity amount as long as a physical quantity that reflects the track
irregularity (appearance failure of the track 16) is derived as the physical quantity
(first physical quantity) reflecting the state of the track 16. For example, in addition
to or in place of the alignment irregularity amount, calculations of (64) Equation
to (67) Equation may be performed, to thereby derive a lateral force to occur when
the railway vehicle travels on the linear track (stress in the right and left direction
between the wheel and the rail). However, Q
1, Q
2, Q
3, and Q
4 are lateral forces in the wheels 14a, 14b, 14c, and 14d respectively. f
3 represents a spin creep coefficient.
[Mathematical equation 32]

[0222] Further, in this embodiment, the case of including the state variables that represent
the state of the vehicle body 11 has been explained as an example. However, the vehicle
body 11 is a part into which vibrations by acting forces between the wheels 14a to
14d and the track 16 (creep force) propagate finally. Accordingly, it is not necessary
to include the state variables representing the state of the vehicle body 11 in the
case where the effect by the propagation in the vehicle body 11 is judged to be small,
for example. In such a case, out of the motion equations of (1) Equation to (21) Equation,
the motion equations that describe the transversal vibration, the yawing, and the
rolling of the vehicle body 11 of (15) Equation to (17) Equation and the motion equations
that describe the yawing of the yaw damper disposed on the bogie 12a and the yawing
of the yaw damper disposed on the bogie 12b of (18) Equation and (19) Equation are
no longer required. Further, in the motion equations of (1) Equation to (21) Equation,
the value inside {} that includes the state amount relating to the vehicle body (state
amount including the subscript of b) and the state amount relating to the vehicle
body (state amount including the subscript of b) (for example, the third term {
φa2 -
φb} on the left side of (21) Equation)) is set to 0 (zero).
[0223] Further, in this embodiment, the case of the bogies 12a, 12b each being a bolsterless
bogie has been explained as an example. However, the bogies 12a, 12b are not limited
to the bolsterless bogie. Besides, according to the components of the railway vehicle,
forces that the railway vehicle receives, the directions of the motions of the railway
vehicle, or the like, the motion equations are rewritten appropriately. That is, the
motion equations are not limited to the ones explained in this embodiment as an example.
(Second embodiment)
[0224] Next, there will be explained a second embodiment.
[0225] In the first embodiment, the case where the inspection apparatus 400 mounted on the
railway vehicle calculates and corrects the estimated value of the alignment irregularity
amount has been explained as an example. In contrast to this, in this embodiment,
a data processing device in which some functions of the inspection apparatus 400 are
mounted is disposed in an operation center. The data processing device receives measured
data transmitted from the railway vehicle and calculates and corrects the estimated
value of the alignment irregularity amount by using the received measured data. In
this manner, in this embodiment, the functions that the inspection apparatus 400 in
the first embodiment has are shared and executed by the railway vehicle and the operation
center. Constitutions and processing due to this are mainly different between this
embodiment and the first embodiment. Accordingly, in the explanation of this embodiment,
the same reference numerals and symbols as those added to Fig. 1 to Fig. 19A and Fig.
19B are added to the same parts as those in the first embodiment, or the like, and
their detailed explanations are omitted.
[0226] Fig. 20 is a view illustrating one example of a configuration of an inspection system.
In Fig. 20, the inspection system includes data collecting devices 2010a, 2010b, and
a data processing device 2020. In Fig. 20, one example of functional configurations
of the data collecting devices 2010a, 2010b and the data processing device 2020 is
also illustrated. Incidentally, each hardware of the data collecting devices 2010a,
2010b and the data processing device 2020 can be fabricated by the one illustrated
in Fig. 5, for example. Accordingly, detailed explanations of the hardware configurations
of the data collecting devices 2010a, 2010b and the data processing device 2020 are
omitted.
[0227] The data collecting devices 2010a, 2010b are mounted on each railway vehicle one
by one. The data processing device 2020 is disposed at the operation center. The operation
center centrally manages operations of a plurality of railway vehicles, for example.
<Data collecting devices 2010a, 2010b>
[0228] The data collecting devices 2010a, 2010b can be fabricated by the same components.
The data collecting devices 2010a, 2010b include data acquisition units 2011a, 2011b
and data transmission units 2012a, 2012b.
[Data acquisition units 2011a, 2011b]
[0229] The data acquisition units 2011a, 2011b have the same function as that of the data
acquisition unit 403. That is, the data acquisition units 2011a, 2011b acquire the
same measured data as those acquired in the data acquisition unit 403. Concretely,
the data acquisition units 2011a, 2011b acquire, as the measured data, a measured
value of acceleration of the vehicle body 11 in the right and left direction, measured
values of accelerations of the bogies 12a, 12b in the right and left direction, measured
values of accelerations of the wheel sets 13a to 13d in the right and left direction,
and a measured value of the forward-and-backward-direction force. Strain gauges and
an arithmetic device for obtaining these measured values are the same as those explained
in the first embodiment.
[Data transmission units 2012a, 2012b]
[0230] The data transmission units 2012a, 2012b transmit the measured data acquired in the
data acquisition units 2011a, 2011b to the data processing device 2020. In this embodiment,
the data transmission units 2012a, 2012b transmit the measured data acquired in the
data acquisition units 2011a, 2011b to the data processing device 2020 by radio. At
this time, the data transmission units 2012a, 2012b add identification numbers of
the railway vehicles in which the data collecting devices 2010a, 2010b are mounted
to the measured data acquired in the data acquisition units 2011a, 2011b. In this
manner, the data transmission units 2012a, 2012b transmit the measured data with the
identification numbers of the railway vehicles added thereto.
<Data processing device 2020>
[Data reception unit 2021]
[0231] A data reception unit 2021 receives the measured data transmitted by the data transmission
units 2012a, 2012b. To the measured data, the identification numbers of the railway
vehicles, which are transmission sources of the measured data, have been added.
[Data storage unit 2022]
[0232] A data storage unit 2022 stores the measured data received in the data reception
unit 2021. The data storage unit 2022 stores the measured data every identification
number of the railway vehicle. The data storage unit 2022 specifies the traveling
position of the railway vehicle at the time of receipt of the measured data based
on the current operation situation of the railway vehicle and the time of receipt
of the measured data, and stores information of the specified traveling position and
the measured data in association with each other. Incidentally, the data collecting
devices 2010a, 2010b may collect the information of the current traveling position
of the railway vehicle and contain the collected information in the measured data.
[Data reading unit 2023]
[0233] A data reading unit 2023 reads the measured data stored in the data storage unit
2022. The data reading unit 2023 can read, out of the measured data stored in the
data storage unit 2022, the measured data designated by an operator. Further, the
data reading unit 2023 can also read the measured data matching a preset condition
at a preset timing. In this embodiment, the measured data read by the data reading
unit 2023 are determined based on at least any one of the identification number and
the traveling position of the railway vehicle, for example.
[0234] A state equation storage unit 401, an observation equation storage unit 402, a first
frequency adjustment unit 404, a filter operation unit 405, a second frequency adjustment
unit 406, a first track state calculation unit 407, an actual value acquisition unit
408, a correction amount calculation unit 409, a correction amount storage unit 410,
a second track state calculation unit 411, a track state correction unit 412, and
an output unit 413 are the same as those explained in the first embodiment. Accordingly,
their detailed explanations are omitted here. Incidentally, the filter operation unit
405 uses the measured data read by the data reading unit 2023 in place of using the
measured data acquired in the data acquisition unit 403, and determines the estimated
values of the state variables illustrated in (44) Equation.
<Summary>
[0235] As above, in this embodiment, the data collecting devices 2010a, 2010b mounted on
the railway vehicles collect the measured data to transmit them to the data processing
device 2020. The data processing device 2020 disposed at the operation center stores
the measured data received from the data collecting devices 2010a, 2010b and uses
the stored measured data to calculate the estimated value of the alignment irregularity
amount. Accordingly, in addition to the effects explained in the first embodiment,
for example, the following effects are exhibited. That is, the data processing device
2020 can calculate the final alignment irregularity amount y
R at an arbitrary timing by reading the measured data at an arbitrary timing. Further,
the data processing device 2020 can output time-series variation of the estimated
value of the final alignment irregularity amount at the same position. Further, the
data processing device 2020 can output the estimated values of the alignment irregularity
amounts in a plurality of routes for each route.
<Modified example>
[0236] In this embodiment, the case where the data collecting devices 2010a, 2010b directly
transmit the measured data to the data processing device 2020 has been explained as
an example. However, it is not always necessary to constitute this embodiment as above.
An inspection system may be built by using cloud computing, for example.
[0237] Besides, it is possible to employ the various modified examples explained in the
first embodiment also for this embodiment.
[0238] Further, in the first embodiment, the case where the state equation storage unit
401, the observation equation storage unit 402, the data acquisition unit 403, the
first frequency adjustment unit 404, the filter operation unit 405, the second frequency
adjustment unit 406, the first track state calculation unit 407, the actual value
acquisition unit 408, the correction amount calculation unit 409, the correction amount
storage unit 410, the second track state calculation unit 411, the track state correction
unit 412, and the output unit 413 are included in one apparatus has been explained
as an example. However, it is not always necessary to constitute the first embodiment
as above. Functions of the state equation storage unit 401, the observation equation
storage unit 402, the data acquisition unit 403, the first frequency adjustment unit
404, the filter operation unit 405, the second frequency adjustment unit 406, the
first track state calculation unit 407, the actual value acquisition unit 408, the
correction amount calculation unit 409, the correction amount storage unit 410, the
second track state calculation unit 411, the track state correction unit 412, and
the output unit 413 may be fabricated by a plurality of apparatuses. In this case,
the inspection system is constituted by using these plural apparatuses.
(Another embodiment)
[0239] The embodiments of the present invention explained above can be fabricated by causing
a computer to execute a program. Further, a computer-readable recording medium in
which the aforementioned program is recorded and a computer program product such as
the aforementioned program can also be applied as the embodiment of the present invention.
As the recording medium, it is possible to use a flexible disk, a hard disk, an optical
disk, a magneto-optic disk, a CD-ROM, a magnetic tape, a nonvolatile memory card,
a ROM, or the like, for example.
[0240] Further, the embodiments of the present invention explained above merely illustrate
concrete examples of implementing the present invention, and the technical scope of
the present invention is not to be construed in a restrictive manner by these embodiments.
That is, the present invention may be implemented in various forms without departing
from the technical features as defined in the appended claims.
INDUSTRIAL APPLICABILITY
[0241] The present invention can be utilized for inspecting tracks of railway vehicles.
1. Inspektionssystem (400), umfassend:
ein Datenerfassungsmittel (403, 2011a, 2011b), das so konfiguriert ist, dass es Messdaten
erfasst, bei denen es sich um Zeitreihendaten von Messwerten handelt, die zu messen
sind, indem ein Schienenfahrzeug, das einen Fahrzeugkörper (11), ein Drehgestell (12a,
12b) und einen Radsatz (13, 13a-13d) aufweist, veranlasst wird, auf einem Gleis (16)
zu fahren;
ein erstes Gleiszustandsberechnungsmittel (407), das konfiguriert ist, um einen geschätzten
Wert einer ersten physikalischen Größe zu berechnen;
ein Korrekturbetragsberechnungsmittel (409), das so konfiguriert ist, dass es einen
Korrekturbetrag für den geschätzten Wert der ersten physikalischen Größe basierend
auf dem geschätzten Wert der ersten physikalischen Größe, der von dem ersten Gleiszustandsberechnungsmittel
(407) berechnet wurde, und einem tatsächlichen Wert der ersten physikalischen Größe
berechnet;
eine zweites Gleiszustandsberechnungsmittel (411), das konfiguriert ist, um einen
geschätzten Wert der ersten physikalischen Größe zu berechnen, nachdem der Korrekturbetrag
berechnet wurde; und
ein Gleiszustandskorrekturmittel (412), das so konfiguriert ist, dass es den geschätzten
Wert der ersten physikalischen Größe, der von dem zweiten Gleiszustandsberechnungsmittel
(411) berechnet wurde, unter Verwendung des Korrekturbetrags korrigiert, wobei
die gemessenen Daten einen gemessenen Wert einer vorwärts- und rückwärtsgerichteten
Kraft (T1-T4) enthalten,
die vorwärts- und rückwärtsgerichtete Kraft (T1-T4) eine Kraft in einer Vorwärts- und Rückwärtsrichtung (x) ist, die in einem Element
auftritt, das zwischen dem Radsatz (13, 13a-13d) und dem Drehgestell (12a, 12b) angeordnet
ist, auf dem der Radsatz (13, 13a-13d) vorgesehen ist,
das Element ein Element zum Tragen eines Achslagers ist,
die Vorwärts- und Rückwärtsrichtung (x) eine Richtung entlang einer Fahrtrichtung
des Schienenfahrzeugs ist,
die erste physikalische Größe eine physikalische Größe ist, die einen Zustand des
Gleises (16) wiedergibt,
das erste Gleiszustandsberechnungsmittel (407) und das zweite Gleiszustandsberechnungsmittel
(411) so konfiguriert sind, dass sie einen relationalen Ausdruck, der die Beziehung
zwischen der ersten physikalischen Größe an einer Position des Radsatzes (13, 13a-13d)
und der vorwärts- und rückwärtsgerichteten Kraft (T1-T4) darstellt, und einen gemessenen Wert der vorwärts- und rückwärtsgerichteten Kraft
(T1-T4) verwenden, um den geschätzten Wert der ersten physikalischen Größe zu berechnen,
der gemessene Wert der vorwärts- und rückwärtsgerichteten Kraft (T1-T4), der in dem ersten Gleiszustandsberechnungsmittel (407) verwendet wird, in den gemessenen
Daten enthalten ist, die durch das Datenerfassungsmittel (403, 2011a, 2011b) erfasst
werden, bevor der Korrekturbetrag berechnet wird, und
der gemessene Wert der vorwärts- und rückwärtsgerichteten Kraft (T1-T4), der in dem zweiten Gleiszustandsberechnungsmittel (411) verwendet wird, in den
gemessenen Daten enthalten ist, die durch das Datenerfassungsmittel (403, 2011a, 2011b)
erfasst werden, nachdem der Korrekturbetrag berechnet wurde.
2. Inspektionssystem (400) nach Anspruch 1, wobei
das Korrekturbetragsberechnungsmittel (409) konfiguriert ist, um, basierend auf geschätzten
Werten einer Vielzahl der ersten physikalischen Größen, die durch das erste Gleiszustandsberechnungsmittel
(407) unter Verwendung gemessener Werte der vorwärts- und rückwärtsgerichteten Kraft
(T1-T4) berechnet werden, wenn das Schienenfahrzeug an der gleichen Position fährt, und
tatsächlichen Werten der ersten physikalischen Größen, einen Korrekturbetrag an der
Position als den Korrekturbetrag für den geschätzten Wert der ersten physikalischen
Größe zu berechnen.
3. Inspektionssystem (400) nach Anspruch 1 oder 2, wobei
das Korrekturbetragsberechnungsmittel (409) konfiguriert ist, um, basierend auf geschätzten
Werten einer Vielzahl der ersten physikalischen Größen, die durch das erste Gleiszustandsberechnungsmittel
(407) unter Verwendung gemessener Werte der vorwärts- und rückwärtsgerichteten Kraft
(T1-T4), wenn das Schienenfahrzeug an derselben Position fährt, einer Fahrgeschwindigkeit
des an der Position fahrenden Schienenfahrzeugs und tatsächlichen Werten der ersten
physikalischen Größen, einen Korrekturbetrag für den geschätzten Wert der ersten physikalischen
Größe zu berechnen, und
der Korrekturbetrag für den geschätzten Wert der ersten physikalischen Größe ein Korrekturbetrag
gemäß der Position und der Fahrgeschwindigkeit des Schienenfahrzeugs ist.
4. Inspektionssystem (400) nach einem der Ansprüche 1 bis 3, wobei
die von dem ersten Gleiszustandsberechnungsmittel (407) und dem zweiten Gleiszustandsberechnungsmittel
(411) verwendeten Messwerte der vorwärts- und rückwärtsgerichteten Kraft (T1-T4) Messwerte in demselben Schienenfahrzeug sind.
5. Inspektionssystem (400) nach einem der Ansprüche 1 bis 4, ferner umfassend:
ein Frequenzanpassungsmittel (404, 406), das so konfiguriert ist, dass es eine Signalstärke
einer niederfrequenten Komponente, die aufgrund des auf einem gekrümmten Abschnitt
des Gleises (16) fahrenden Schienenfahrzeugs zu erzeugen ist, aus Zeitreihendaten
einer zweiten physikalischen Größe reduziert, wobei
die zweite physikalische Größe eine physikalische Größe ist, deren Wert gemäß einem
Zustand des Schienenfahrzeugs variiert,
das Frequenzeinstellmittel (404, 406) ein erstes Frequenzeinstellmittel (404) aufweist,
das so konfiguriert ist, dass es eine Signalstärke einer Niederfrequenzkomponente,
die aufgrund des auf einem gekrümmten Abschnitt des Gleises (16) fahrenden Schienenfahrzeugs
zu erzeugen ist, aus Zeitreihendaten eines gemessenen Werts der vorwärts- und rückwärtsgerichteten
Kraft (T1-T4), die eine der zweiten physikalischen Größe ist, reduziert,
das erste Gleiszustandsberechnungsmittel (407) und das zweite Gleiszustandsberechnungsmittel
(411) so konfiguriert sind, dass sie den relationalen Ausdruck und den Wert der vorwärts-
und rückwärtsgerichteten Kraft (T1-T4) verwenden, von dem die Signalstärke der Niederfrequenzkomponente durch das erste
Frequenzeinstellmittel (404) reduziert wurde, um den geschätzten Wert der ersten physikalischen
Größe zu berechnen, und
der relationale Ausdruck ein Ausdruck ist, der einen Krümmungsradius (R) einer Schiene
(16a) nicht aufweist.
6. Inspektionssystem (400) nach Anspruch 5, wobei
das Frequenzanpassungsmittel (404, 406) konfiguriert ist, um die Zeitreihendaten der
zweiten physikalischen Größe zu verwenden und einen Koeffizienten in einem korrigierten
AR-Modell zu bestimmen, und das korrigierte AR-Modell, dessen Koeffizient bestimmt
ist, und die Zeitreihendaten der zweiten physikalischen Größe verwendet und eine Signalstärke
einer Niederfrequenzkomponente, die aufgrund des auf einem gekrümmten Abschnitt des
Gleises (16) fahrenden Schienenfahrzeugs zu erzeugen ist, aus den Zeitreihendaten
der zweiten physikalischen Größe reduziert,
das korrigierte AR-Modell ein Ausdruck ist, der einen vorhergesagten Wert der zweiten
physikalischen Größe darstellt, indem ein Wert der zweiten physikalischen Größe und
der Koeffizient, der auf den Wert reagiert, verwendet werden,
das Frequenzanpassungsmittel (404, 406) so konfiguriert ist, dass sie eine Gleichung
verwendet, in der eine erste Matrix auf eine Koeffizientenmatrix und ein Autokorrelationsvektor
auf einen konstanten Vektor festgelegt ist und den Koeffizienten bestimmt,
der Autokorrelationsvektor ein Vektor ist, dessen Komponente die Autokorrelation der
Zeitreihendaten der zweiten physikalischen Größe mit einer Zeitverzögerung von 1 bis
m ist, wobei m eine Zahl des in dem korrigierten AR-Modell verwendeten Messwertes
ist,
die erste Matrix eine Matrix UsΣsUsT ist, die aus einer zweiten Matrix Σs, die aus s Teilen von Eigenwerten einer Autokorrelationsmatrix abgeleitet ist, wobei
s eine Zahl ist, die auf 1 oder mehr und weniger als m festgelegt ist, und einer Diagonalmatrix
Σ und einer dritten Matrix Us, die aus s Teilen der Eigenwerte und einer orthogonalen Matrix U abgeleitet ist,
die Autokorrelationsmatrix eine Matrix ist, deren Komponente die Autokorrelation der
Zeitreihendaten der zweiten physikalischen Größe mit einer Zeitverzögerung von 0 bis
m - 1 ist,
die Diagonalmatrix eine Matrix ist, deren Diagonalkomponente Eigenwerte der Autokorrelationsmatrix
sind, die durch Singulärwertzerlegung der Autokorrelationsmatrix abgeleitet werden,
die orthogonale Matrix ist eine Matrix, in der ein Eigenvektor der Autokorrelationsmatrix
auf einen Spaltenkomponentenvektor gesetzt ist,
die zweite Matrix ist eine Untermatrix der Diagonalmatrix und ist eine Matrix, deren
Diagonalkomponente s Stücke der Eigenwerte sind, und
die dritte Matrix ist eine Untermatrix der orthogonalen Matrix und ist eine Matrix,
in der Eigenvektoren, die s Teilen der Eigenwerte entsprechen, auf Spaltenkomponentenvektoren
gesetzt sind.
7. Inspektionssystem (400) nach Anspruch 6, wobei
von den Eigenwerten der Autokorrelationsmatrix der größte Eigenwert in s Stücken der
Eigenwerte enthalten ist.
8. Inspektionssystem (400) nach einem der Ansprüche 1 bis 7, ferner umfassend:
ein Filteroperationsmittel (405), das so konfiguriert ist, dass es eine Operation
unter Verwendung eines Filters durchführt, das eine Datenassimilation unter Verwendung
der gemessenen Daten, einer Zustandsgleichung und einer Beobachtungsgleichung durchführt,
und dadurch geschätzte Werte von Zustandsvariablen bestimmt, die Variablen zum Bestimmen
geschätzter Werte in der Zustandsgleichung sind, wobei
die gemessenen Daten ferner gemessene Werte von Beschleunigungen des Drehgestells
(12a, 12b) und des Radsatzes (13, 13a-13d) in einer rechten und linken Richtung (y)
enthalten,
die rechte und linke Richtung (y) eine Richtung senkrecht zur Vorwärts- und Rückwärtsrichtung
(x) ist und eine Aufwärts- und Abwärtsrichtung (z), die eine Richtung senkrecht zum
Gleis (16) ist,
die vorwärts- und rückwärtsgerichtete Kraft (T1-T4) eine Kraft ist, die gemäß einer Differenz zwischen einer Winkelverschiebung des
Radsatzes (13, 13a-13d) in einer Gierrichtung und einer Winkelverschiebung des Drehgestells
(12a, 12b), auf dem der Radsatz (13, 13a-13d) in der Gierrichtung vorgesehen ist,
zu bestimmen ist,
die Gierrichtung eine Schwenkrichtung ist, wobei die Auf- und Abwärtsrichtung (z)
als Schwenkachse festgelegt ist,
die Zustandsgleichung eine Gleichung ist, die durch Verwendung der Zustandsvariablen,
der vorwärts- und rückwärtsgerichteten Kraft (T1-T4) und einer Transformationsvariablen beschrieben wird,
die Zustandsvariablen eine Verschiebung und eine Geschwindigkeit des Drehgestells
(12a, 12b) in der rechten und linken Richtung (y), eine Winkelverschiebung und eine
Winkelgeschwindigkeit des Drehgestells (12a, 12b) in der Gierrichtung, eine Winkelverschiebung
und eine Winkelgeschwindigkeit des Drehgestells (12a, 12b) in einer Rollrichtung,
eine Verschiebung und eine Geschwindigkeit des Radsatzes (13, 13a-13d) in der rechten
und linken Richtung (y) und eine Winkelverschiebung einer an dem Schienenfahrzeug
angebrachten Luftfeder in der Rollrichtung umfassen, und nicht eine Winkelverschiebung
oder eine Winkelgeschwindigkeit des Radsatzes (13, 13a-13d) in der Gierrichtung umfassen,
die Rollrichtung eine Schwenkrichtung ist, wobei die Vorwärts- und Rückwärtsrichtung
(x) als Schwenkachse festgelegt ist,
die Transformationsvariable eine Variable ist, die eine gegenseitige Transformation
zwischen der Winkelverschiebung des Radsatzes (13, 13a-13d) in der Gierrichtung und
der Winkelverschiebung des Drehgestells (12a, 12b) in der Gierrichtung durchführt,
die Beobachtungsgleichung eine Gleichung ist, die durch Verwendung einer Beobachtungsvariablen
und der Transformationsvariablen beschrieben wird,
die Beobachtungsvariable die Beschleunigungen des Drehgestells (12a, 12b) und des
Radsatzes (13, 13a-13d) in der rechten und linken Richtung (y) umfasst,
das Filteroperationsmittel (405) so konfiguriert ist, dass es einen gemessenen Wert
der Beobachtungsvariablen, die Zustandsgleichung, in die der gemessene Wert der vorwärts-
und rückwärtsgerichteten Kraft (T1-T4) und ein tatsächlicher Wert der Transformationsvariablen eingesetzt werden, und die
Beobachtungsgleichung, in die der tatsächliche Wert der Transformationsvariablen eingesetzt
wird, verwendet und geschätzte Werte der Zustandsvariablen bestimmt, wenn ein Fehler
zwischen der Beobachtungsvariablen, dem gemessenen Wert und einem geschätzten Wert
oder einem erwarteten Wert des Fehlers minimal wird,
das erste Gleiszustandsberechnungsmittel (407) und das zweite Gleiszustandsberechnungsmittel
(411) so konfiguriert sind, dass sie einen geschätzten Wert der Winkelverschiebung
des Drehgestells (12a, 12b) in der Gierrichtung, die eine der von dem Filteroperationsmittel
(405) bestimmten Zustandsvariablen ist, und den aktuellen Wert der Transformationsvariablen
verwenden, um einen geschätzten Wert der Winkelverschiebung des Radsatzes (13, 13a-13d)
in der Gierrichtung zu berechnen, und den geschätzten Wert der Winkelverschiebung
des Radsatzes (13, 13a-13d) in der Gierrichtung, den Wert der vorwärts- und rückwärtsgerichteten
Kraft (T1-T4) und den relationalen Ausdruck zu verwenden, um den geschätzten Wert der ersten physikalischen
Größe zu berechnen,
der relationale Ausdruck ein Ausdruck ist, in dem eine Bewegungsgleichung, die die
Bewegung des Radsatzes (13, 13a-13d) in der Gierrichtung beschreibt, unter Verwendung
der vorwärts- und rückwärtsgerichteten Kraft (T1-T4) ausgedrückt wird, und
der tatsächliche Wert der Transformationsvariablen unter Verwendung des gemessenen
Wertes der vorwärts- und rückwärtsgerichteten Kraft (T1-T4) abgeleitet wird.
9. Inspektionssystem (400) nach Anspruch 8, wobei
die Zustandsgleichung durch Verwendung einer Bewegungsgleichung, die die Bewegung
des Radsatzes (13, 13a-13d) in der rechten und linken Richtung (y) beschreibt, einer
Bewegungsgleichung, die die Bewegung des Drehgestells (12a, 12b) in der rechten und
linken Richtung (y) beschreibt, einer Bewegungsgleichung, die die Bewegung des Drehgestells
(12a, 12b) in der Gierrichtung beschreibt, einer Bewegungsgleichung, die die Bewegung
des Drehgestells (12a, 12b) in der Rollrichtung beschreibt, und einer Bewegungsgleichung,
die die Bewegung der Luftfeder in der Rollrichtung beschreibt, gebildet wird,
die Bewegungsgleichung, die die Bewegung des Radsatzes (13, 13a-13d) in der rechten
und linken Richtung (y) beschreibt, eine Bewegungsgleichung ist, die durch Verwenden
der Transformationsvariablen anstelle der Verwendung der Winkelverschiebung des Radsatzes
(13, 13a-13d) in der Gierrichtung beschrieben wird,
die Bewegungsgleichung, die die Bewegung des Drehgestells (12a, 12b) in der Gierrichtung
beschreibt, eine Bewegungsgleichung ist, die beschrieben wird, indem die vorwärts-
und rückwärtsgerichtete Kraft (T1-T4) anstelle der Winkelverschiebung und der Winkelgeschwindigkeit des Radsatzes (13,
13a-13d) in der Gierrichtung verwendet wird, und
die Transformationsvariable durch eine Differenz zwischen der Winkelverschiebung des
Drehgestells (12a, 12b) in der Gierrichtung und der Winkelverschiebung des Radsatzes
(13, 13a-13d) in der Gierrichtung dargestellt wird.
10. Inspektionssystem (400) nach Anspruch 8 oder 9, wobei
das Datenerfassungsmittel (403, 2011a, 2011b) so konfiguriert ist, dass es ferner
einen Messwert der Beschleunigung des Fahrzeugkörper (11) in der rechten und linken
Richtung (y) erfasst,
die Beobachtungsvariable ferner die Beschleunigung des Fahrzeugkörpers (11) in der
rechten und linken Richtung (y) umfasst,
die Zustandsvariablen ferner eine Verschiebung und eine Geschwindigkeit des Fahrzeugkörpers
(11) in der rechten und linken Richtung (y), eine Winkelverschiebung und eine Winkelgeschwindigkeit
des Fahrzeugkörpers (11) in der Gierrichtung, eine Winkelverschiebung und eine Winkelgeschwindigkeit
des Fahrzeugkörpers (11) in der Rollrichtung und eine Winkelverschiebung eines an
dem Schienenfahrzeug angebrachten Gierdämpfers in der Gierrichtung umfassen, und
das Filteroperationsmittel (405) konfiguriert ist, um die Zustandsvariablen zu bestimmen,
wenn Differenzen zwischen den Beschleunigungen des Fahrzeugkörpers (11), des Drehgestells
(12a, 12b) und des Radsatzes (13, 13a-13d) in der rechten und linken Richtung (y),
den gemessenen Werten und den berechneten Werten minimal werden.
11. Inspektionssystem (400) nach Anspruch 10, wobei
die Zustandsgleichung durch weitere Verwendung einer Bewegungsgleichung, die die Bewegung
des Fahrzeugkörpers (11) in der rechten und linken Richtung (y) beschreibt, einer
Bewegungsgleichung, die die Bewegung des Fahrzeugkörpers (11) in der Gierrichtung
beschreibt, einer Bewegungsgleichung, die die Bewegung des Fahrzeugkörpers (11) in
der Rollrichtung beschreibt, und einer Bewegungsgleichung, die die Bewegung des Gierdämpfers
in der Gierrichtung beschreibt, gebildet wird.
12. Inspektionssystem (400) nach einem der Ansprüche 8 bis 11, wobei
die Beobachtungsgleichung durch weitere Verwendung der Bewegungsgleichung, die die
Bewegung des Radsatzes (13, 13a-13d) in der rechten und linken Richtung (y) beschreibt,
und der Bewegungsgleichung, die die Bewegung des Drehgestells (12a, 12b) in der rechten
und linken Richtung (y) beschreibt, gebildet wird, und
die Bewegungsgleichung, die die Bewegung des Radsatzes (13, 13a-13d) in der rechten
und linken Richtung (y) beschreibt, eine Bewegungsgleichung ist, die durch Verwendung
der Transformationsvariablen anstelle der Verwendung der Winkelverschiebung des Radsatzes
(13, 13a-13d) in der Gierrichtung beschrieben wird.
13. Inspektionssystem (400) nach Anspruch 12, wobei
die Beobachtungsgleichung durch weitere Verwendung der Bewegungsgleichung gebildet
wird, die die Bewegung des Fahrzeugkörpers (11) in der rechten und linken Richtung
(y) beschreibt.
14. Inspektionssystem (400) nach einem der Ansprüche 8 bis 13, wobei
das erste Gleiszustandsberechnungsmittel (407) und das zweite Gleiszustandsberechnungsmittel
(411) konfiguriert sind, um einen Ausrichtungsunregelmäßigkeitsbetrag (yR1-yR4) des Gleises (16) als den geschätzten Wert der ersten physikalischen Größe basierend
auf der Verschiebung und der Geschwindigkeit des Drehgestells (12a, 12b) in der rechten
und linken Richtung (y) abzuleiten, die die Zustandsvariablen sind, die durch das
Filteroperationsmittel (405) bestimmt werden, der Verschiebung und der Geschwindigkeit
des Radsatzes (13, 13a-13d) in der rechten und linken Richtung (y), die die von dem
Filteroperationsmittel (405) bestimmten Zustandsvariablen sind, der geschätzte Wert
der Winkelverschiebung des Radsatzes (13, 13a-13d) in der Gierrichtung, der gemessene
Wert der vorwärts- und rückwärtsgerichteten Kraft (T1-T4), und die Bewegungsgleichung, die die Bewegung des Radsatzes (13, 13a-13d) in der
Gierrichtung beschreibt, und
die Bewegungsgleichung, die die Bewegung des Radsatzes (13, 13a-13d) in der Gierrichtung
beschreibt, die vorwärts- und rückwärtsgerichtete Kraft (T1-T4) und den Ausrichtungsunregelmäßigkeitsbetrag (yR1-yR4) des Gleises (16) als Variablen aufweist.
15. Inspektionssystem (400) nach einem der Ansprüche 8 bis 14, ferner umfassend:
ein Frequenzanpassungsmittel (404, 406), das so konfiguriert ist, dass es eine Signalstärke
einer niederfrequenten Komponente, die aufgrund des auf einem gekrümmten Abschnitt
des Gleises (16) fahrenden Schienenfahrzeugs zu erzeugen ist, aus Zeitreihendaten
einer zweiten physikalischen Größe reduziert, wobei
die zweite physikalische Größe eine physikalische Größe ist, deren Wert gemäß einem
Zustand des Schienenfahrzeugs variiert, und
das Frequenzeinstellmittel ein zweites Frequenzeinstellmittel (406) umfasst, das konfiguriert
ist, um eine Signalstärke einer Niederfrequenzkomponente, die aufgrund des auf einem
gekrümmten Abschnitt des Gleises (16) fahrenden Schienenfahrzeugs zu erzeugen ist,
aus Zeitreihendaten der geschätzten Werte der Zustandsvariablen, die eine der zweiten
physikalischen Größe sind, zu reduzieren.
16. Inspektionssystem (400) nach einem der Ansprüche 8 bis 15, wobei
der Filter ein Kalman-Filter ist.
17. Inspektionssystem (400) nach einem der Ansprüche 1 bis 16, wobei
die erste physikalische Größe ein Ausrichtungsunregelmäßigkeitsbetrag (yR1-yR4) des Gleises (16) oder eine Seitenkraft (Q1-Q4) ist, die eine Spannung in der rechten und linken Richtung (y) zwischen einem Rad
(14L, 14R, 14a-14d), das an dem Radsatz (13, 13a-13d) vorgesehen ist, und des Gleises
(16) ist, und
die rechte und linke Richtung (y) eine Richtung senkrecht sowohl zur Vorwärts- und
Rückwärtsrichtung (x) als auch zur Auf- und Abwärtsrichtung (z) ist, die eine Richtung
senkrecht zum Gleis (16) ist.
18. Inspektionssystem (400) nach einem der Ansprüche 1 bis 17, wobei
die vorwärts- und rückwärtsgerichtete Kraft (T1-T4) aus den Komponenten der in Vorwärts- und Rückwärtsrichtung (x) wirkenden Kräfte,
die in den beiden an beiden Seiten des einzelnen Radsatzes (13, 13a-13d) befestigten
Elementen in der rechten und linken Richtung (y) auftreten, die Komponente ist, die
in der Phase zueinander entgegengesetzt ist, und
die rechte und linke Richtung (y) eine Richtung senkrecht sowohl zur Vorwärts- als
auch zur Rückwärtsrichtung (x) ist und die Aufwärts- und Abwärtsrichtung (z) eine
Richtung senkrecht zum Gleis (16) ist.
19. Inspektionsverfahren, das von einem Inspektionssystem ausgeführt wird, wobei das Inspektionsverfahren
umfasst:
einen Datenerfassungsschritt (S701) zum Erfassen von Messdaten, bei denen es sich
um Zeitreihendaten von Messwerten handelt, die zu messen sind, indem ein Schienenfahrzeug,
das einen Fahrzeugkörper (11), ein Drehgestell (12a, 12b) und einen Radsatz (13, 13a-13d)
aufweist, veranlasst wird, auf einem Gleis (16) zu fahren;
einen ersten Gleiszustandsberechnungsschritt (S705) des Berechnens eines geschätzten
Wertes einer ersten physikalischen Größe;
einen Korrekturbetragsberechnungsschritt (S707) des Berechnens eines Korrekturbetrags
für den geschätzten Wert der ersten physikalischen Größe basierend auf dem geschätzten
Wert der ersten physikalischen Größe, der durch den ersten Gleiszustandsberechnungsschritt
(S705) berechnet wurde, und einem tatsächlichen Wert der ersten physikalischen Größe;
einen zweiten Gleiszustandsberechnungsschritt des Berechnens eines geschätzten Wertes
der ersten physikalischen Größe, nachdem der Korrekturbetrag berechnet ist (S707);
und
einen Gleiszustandskorrekturschritt zum Korrigieren des geschätzten Wertes der ersten
physikalischen Größe, der durch den zweiten Gleiszustandsberechnungsschritt berechnet
wurde, unter Verwendung des Korrekturbetrags, wobei
die gemessenen Daten einen gemessenen Wert einer vorwärts- und rückwärtsgerichteten
Kraft (T1-T4) enthalten,
die vorwärts- und rückwärtsgerichtete Kraft (T1-T4) eine Kraft in einer Vorwärts- und Rückwärtsrichtung (x) ist, die in einem Element
auftritt, das zwischen dem Radsatz (13, 13a-13d) und dem Drehgestell (12a, 12b) angeordnet
ist, auf dem der Radsatz (13, 13a-13d) vorgesehen ist,
das Element ein Element zum Tragen eines Achslagers ist,
die Vorwärts- und Rückwärtsrichtung (x) eine Richtung entlang einer Fahrtrichtung
des Schienenfahrzeugs ist,
die erste physikalische Größe eine physikalische Größe ist, die einen Zustand des
Gleises (16) wiedergibt,
der erste Gleiszustandsberechnungsschritt (S705) und der zweite Gleiszustandsberechnungsschritt
einen relationalen Ausdruck, der die Beziehung zwischen der ersten physikalischen
Größe an einer Position des Radsatzes (13, 13a-13d) und der vorwärts- und rückwärtsgerichteten
Kraft (T1-T4) darstellt, und einen gemessenen Wert der vorwärts- und rückwärtsgerichteten Kraft
(T1-T4) verwenden, um den geschätzten Wert der ersten physikalischen Größe zu berechnen,
der gemessene Wert der vorwärts- und rückwärtsgerichteten Kraft (T1-T4), der in dem ersten Gleiszustandsberechnungsschritt (S705) verwendet wird, in den
gemessenen Daten enthalten ist, die durch den Datenerfassungsschritt (S701) erfasst
werden, bevor der Korrekturbetrag berechnet wird (S707), und
der gemessene Wert der vorwärts- und rückwärtsgerichteten Kraft (T1-T4), der in dem zweiten Gleiszustandsberechnungsschritt verwendet wird, in den gemessenen
Daten enthalten ist, die durch den Datenerfassungsschritt erfasst wurden, nachdem
der Korrekturbetrag berechnet wurde (S707).
20. Computerprogramm das Anweisungen umfasst, die, wenn das Programm von einem Computer
ausgeführt wird, den Computer veranlassen, Schritte auszuführen, die umfassen:
einen Datenerfassungsschritt (S701) zum Erfassen von Messdaten, bei denen es sich
um Zeitreihendaten von Messwerten handelt, die zu messen sind, indem ein Schienenfahrzeug,
das einen Fahrzeugkörper (11), ein Drehgestell (12a, 12b) und einen Radsatz (13, 13a-13d)
aufweist, veranlasst wird, auf einem Gleis (16) zu fahren;
einen ersten Gleiszustandsberechnungsschritt (S705) des Berechnens eines geschätzten
Wertes einer ersten physikalischen Größe;
einen Korrekturbetragsberechnungsschritt (S707) des Berechnens eines Korrekturbetrags
für den geschätzten Wert der ersten physikalischen Größe basierend auf dem geschätzten
Werts der ersten physikalischen Größe, der durch den ersten Gleiszustandsberechnungsschritt
(S705) berechnet wurde, und einem tatsächlichen Wert der ersten physikalischen Größe;
einen zweiten Gleiszustandsberechnungsschritt des Berechnens eines geschätzten Wertes
der ersten physikalischen Größe, nachdem der Korrekturbetrag berechnet ist (S707);
und
einen Gleiszustandskorrekturschritt zum Korrigieren des geschätzten Wertes der ersten
physikalischen Größe, der durch den zweiten Gleiszustandsberechnungsschritt berechnet
wurde, unter Verwendung des Korrekturbetrags, wobei
die gemessenen Daten einen gemessenen Wert einer vorwärts- und rückwärtsgerichteten
Kraft (T1-T4) enthalten,
die vorwärts- und rückwärtsgerichtete Kraft (T1-T4) eine Kraft in einer Vorwärts- und Rückwärtsrichtung (x) ist, die in einem Element
auftritt, das zwischen dem Radsatz (13, 13a-13d) und dem Drehgestell (12a, 12b) angeordnet
ist, auf dem der Radsatz (13, 13a-13d) vorgesehen ist,
das Element ein Element zum Tragen eines Achslagers ist,
die Vorwärts- und Rückwärtsrichtung (x) eine Richtung entlang einer Fahrtrichtung
des Schienenfahrzeugs ist,
die erste physikalische Größe eine physikalische Größe ist, die einen Zustand des
Gleises (16) wiedergibt,
der erste Gleiszustandsberechnungsschritt (S705) und der zweite Gleiszustandsberechnungsschritt
einen relationalen Ausdruck, der die Beziehung zwischen der ersten physikalischen
Größe an einer Position des Radsatzes (13, 13a-13d) und der vorwärts- und rückwärtsgerichteten
Kraft (T1-T4) darstellt, und einen gemessenen Wert der vorwärts- und rückwärtsgerichteten Kraft
(T1-T4) verwenden, um den geschätzten Wert der ersten physikalischen Größe zu berechnen,
der gemessene Wert der vorwärts- und rückwärtsgerichteten Kraft (T1-T4), der in dem ersten Gleiszustandsberechnungsschritt (S705) verwendet wird, in den
gemessenen Daten enthalten ist, die durch den Datenerfassungsschritt (S701) erfasst
werden, bevor der Korrekturbetrag berechnet wird (S707), und
der gemessene Wert der vorwärts- und rückwärtsgerichteten Kraft (T1-T4), der in dem zweiten Gleiszustandsberechnungsschritt verwendet wird, in den gemessenen
Daten enthalten ist, die durch den Datenerfassungsschritt erfasst wurden, nachdem
der Korrekturbetrag berechnet wurde (S707).
1. Système d'inspection (400), comprenant :
un moyen d'acquisition de données (403, 2011a, 2011b) configuré pour acquérir des
données mesurées qui sont des données chronologiques de valeurs mesurées à mesurer
en provoquant le déplacement d'un véhicule ferroviaire comprenant un châssis de véhicule
(11), un bogie (12a, 12b) et un train de roues (13, 13a-13d) sur une voie ferrée (16)
;
un premier moyen de calcul d'état de voie ferrée (407) configuré pour calculer une
valeur estimée d'une première quantité physique ;
un moyen de calcul de quantité de correction (409) configuré pour calculer une quantité
de correction pour la valeur estimée de la première quantité physique sur la base
de la valeur estimée de la première quantité physique calculée par le premier moyen
de calcul d'état de voie ferrée (407) et d'une valeur réelle de la première quantité
physique ;
un second moyen de calcul d'état de voie ferrée (411) configuré pour calculer une
valeur estimée de la première quantité physique après que la quantité de correction
a été calculée ; et
un moyen de correction d'état de voie ferrée (412) configuré pour corriger la valeur
estimée de la première quantité physique calculée par le second moyen de calcul d'état
de voie ferrée (411) en utilisant la quantité de correction,
dans lequel
les données mesurées contiennent une valeur mesurée d'une force en marche avant et
en marche arrière (T1-T4),
la force en marche avant et en marche arrière (T1-T4) est une force dans le sens de la marche avant et de la marche arrière (x) destinée
à se produire dans un élément disposé entre le train de roues (13, 13a-13d) et le
bogie (12a, 12b) sur lequel le train de roues (13, 13a-13d) est prévu,
l'élément est un élément destiné à supporter une boîte d'essieu,
le sens de la marche avant et de la marche arrière (x) est une direction le long d'une
direction de déplacement du véhicule ferroviaire,
la première quantité physique est une quantité physique qui reflète un état de la
voie ferrée (16),
le premier moyen de calcul d'état de voie ferrée (407) et le second moyen de calcul
de voie ferrée (411) sont configurés pour utiliser une expression relationnelle qui
représente la relation entre la première quantité physique à un emplacement du train
de roues (13, 13a-13d) et la force en marche avant et en marche arrière (T1-T4) et une valeur mesurée de la force en marche avant et en marche arrière (T1-T4) afin de calculer la valeur estimée de la première quantité physique,
la valeur mesurée de la force en marche avant et en marche arrière (T1-T4) utilisée dans le premier moyen de calcul d'état de voie ferrée (407) est contenue
dans les données mesurées acquises par le moyen d'acquisition de données (403, 2011a,
2011b) avant que la quantité de correction ne soit calculée, et
la valeur mesurée de la force en marche avant et en marche arrière (T1-T4) utilisée dans le second moyen de calcul d'état de voie ferrée (411) est contenue
dans les données mesurées acquises par le moyen d'acquisition de données (403, 2011a,
2011b) après que la quantité de correction a été calculée.
2. Système d'inspection (400) selon la revendication 1, dans lequel
le moyen de calcul de quantité de correction (409) est configuré pour calculer, sur
la base des valeurs estimées d'une pluralité des premières quantités physiques calculées
par le premier moyen de calcul d'état de voie ferrée (407) en utilisant les valeurs
mesurées de la force en marche avant et en marche arrière (T1-T4) lorsque le véhicule ferroviaire se déplace au même emplacement et des valeurs réelles
des premières quantités physiques, une quantité de correction à l'emplacement en guise
de quantité de correction pour la valeur estimée de la première quantité physique.
3. Système d'inspection (400) selon la revendication 1 ou 2, dans lequel
le moyen de calcul de quantité de correction (409) est configuré pour calculer, sur
la base des valeurs estimées d'une pluralité des premières quantités physiques calculées
par le premier moyen de calcul d'état de voie ferrée (407) en utilisant les valeurs
mesurées de la force en marche avant et en marche arrière (T1-T4) lorsque le véhicule ferroviaire se déplace au même emplacement, d'une vitesse de
déplacement du véhicule ferroviaire qui se déplace à l'emplacement, et des valeurs
réelles des premières quantités physiques, une quantité de correction pour la valeur
estimée de la première quantité physique, et
la quantité de correction pour la valeur estimée de la première quantité physique
est une quantité de correction selon l'emplacement et la vitesse de déplacement du
véhicule ferroviaire.
4. Système d'inspection (400) selon l'une quelconque des revendications 1 à 3, dans lequel
les valeurs mesurées de la force en marche avant et en marche arrière (T1-T4) utilisées par le premier moyen de calcul d'état de voie ferrée (407) et le second
moyen de calcul d'état de voie ferrée (411) sont des valeurs mesurées sur le même
véhicule ferroviaire.
5. Système d'inspection (400) selon l'une quelconque des revendications 1 à 4, comprenant
en outre :
un moyen de réglage de fréquence (404, 406) configuré pour réduire une intensité de
signal d'une composante à basse fréquence générée en raison du véhicule ferroviaire
qui se déplace sur une partie incurvée de la voie ferrée (16) à partir des données
chronologiques d'une seconde quantité physique, dans lequel
la seconde quantité physique est une quantité physique dont la valeur varie selon
un état du véhicule ferroviaire,
le moyen de réglage de fréquence (404, 406) comprend un premier moyen de réglage de
fréquence (404) configuré pour réduire une intensité de signal d'une composante à
basse fréquence générée en raison du véhicule ferroviaire qui se déplace sur une partie
incurvée de la voie ferrée (16) à partir des données chronologiques d'une valeur mesurée
de la force en marche avant et en marche arrière (T1-T4) qui est l'une de la seconde quantité physique,
le premier moyen de calcul d'état de voie ferrée (407) et le second moyen de calcul
d'état de voie ferrée (411) sont configurés pour utiliser l'expression relationnelle
et la valeur de la force en marche avant et en marche arrière (T1-T4) à partir de laquelle l'intensité de signal de la composante à basse fréquence a
été réduite par le premier moyen de réglage de fréquence (404) afin de calculer la
valeur estimée de la première quantité physique, et
l'expression relationnelle est une expression qui n'inclut pas un rayon de courbure
(R) d'un rail (16a).
6. Système d'inspection (400) selon la revendication 5, dans lequel
le moyen de réglage de fréquence (404, 406) est configuré pour utiliser les données
chronologiques de la seconde quantité physique et détermine un coefficient dans un
modèle autorégressif corrigé, et utilise le modèle autorégressif corrigé dont le coefficient
est déterminé et les données chronologiques de la seconde quantité physique et réduit
une intensité de signal d'une composante à basse fréquence générée en raison du véhicule
ferroviaire qui se déplace sur une partie incurvée de la voie ferrée (16) à partir
des données chronologiques de la seconde quantité physique,
le modèle autorégressif corrigé est une expression qui représente une valeur prédite
de la seconde quantité physique en utilisant une valeur de la seconde quantité physique
et le coefficient en réponse à la valeur,
le moyen de réglage de fréquence (404, 406) est configuré pour utiliser une équation
dans laquelle une première matrice est définie comme une matrice à coefficient et
un vecteur d'autocorrélation est défini comme un vecteur constant et détermine le
coefficient,
le vecteur d'autocorrélation est un vecteur dont la composante est une autocorrélation
des données chronologiques de la seconde quantité physique avec un retard de 1 à m,
m étant un chiffre de la valeur mesurée utilisée dans le modèle autorégressif corrigé,
la première matrice est une matrice UsΣsUsT dérivée d'une seconde matrice Σs qui est dérivée de s valeurs propres d'une matrice d'autocorrélation, s étant un
chiffre défini pour être égal ou supérieur à 1 et inférieur à m, et d'une matrice
diagonale Σ et d'une troisième matrice Us qui est dérivée de s des valeurs propres et d'une matrice orthogonale U,
la matrice d'autocorrélation est une matrice dont la composante est une autocorrélation
des données chronologiques de la seconde quantité physique avec un retard de 0 à m
-1,
la matrice diagonale est une matrice dont la composante diagonale correspond aux valeurs
propres de la matrice d'autocorrélation qui sont dérivées par la décomposition en
valeurs singulières de la matrice d'autocorrélation,
la matrice orthogonale est une matrice dans laquelle un vecteur propre de la matrice
d'autocorrélation est défini comme un vecteur de composante de colonne,
la seconde matrice est une sous-matrice de la matrice diagonale et est une matrice
dont la composante diagonale correspond à s des valeurs propres, et
la troisième matrice est une sous-matrice de la matrice orthogonale et est une matrice
dans laquelle les vecteurs propres qui correspondent à s des valeurs propres sont
définis comme des vecteurs de composantes de colonnes.
7. Système d'inspection (400) selon la revendication 6, dans lequel
parmi les valeurs propres de la matrice d'autocorrélation, la valeur propre la plus
élevée est incluse à s des valeurs propres.
8. Système d'inspection (400) selon l'une quelconque des revendications 1 à 7, comprenant
en outre :
un moyen de fonctionnement de filtre (405) configuré pour effectuer une opération
à l'aide d'un filtre qui effectue une assimilation de données en utilisant les données
mesurées, une équation d'état et une équation d'observation, et détermine ainsi les
valeurs estimées de variables d'état qui sont des variables destinées à déterminer
les valeurs estimées dans l'équation d'état, dans lequel
les données mesurées contiennent en outre des valeurs mesurées d'accélérations du
bogie (12a, 12b) et du train de roues (13, 13a-13d) dans la direction de gauche et
de droite (y),
la direction de gauche et de droite (y) est une direction perpendiculaire au sens
de la marche avant et de la marche arrière (x) et à une direction vers le haut et
vers le bas (z) qui est une direction perpendiculaire à la voie ferrée (16),
la force en marche avant et en marche arrière (T1-T4) est une force à déterminer selon une différence entre un déplacement angulaire du
train de roues (13, 13a-13d) dans une direction de lacet et un déplacement angulaire
du bogie (12a, 12b) sur lequel le train de roues (13, 13a-13d) est prévu dans la direction
de lacet,
la direction de lacet est une direction de pivotement avec la direction vers le haut
et vers le bas (z) définie comme un axe de pivotement,
l'équation d'état est une équation décrite en utilisant les variables d'état, la force
en marche avant et en marche arrière (T1-T4) et une variable de transformation,
les variables d'état comprennent un déplacement et une vitesse du bogie (12a, 12b)
dans la direction de gauche et de droite (y), un déplacement angulaire et une vitesse
angulaire du bogie (12a, 12b) dans la direction de lacet, un déplacement angulaire
et une vitesse angulaire du bogie (12a, 12b) dans une direction de roulis, un déplacement
et une vitesse du train de roues (13, 13a-13d) dans la direction de gauche et de droite
(y), et un déplacement angulaire d'un ressort pneumatique fixé sur le véhicule ferroviaire
dans la direction de roulis, et n'incluent pas un déplacement angulaire ou une vitesse
angulaire du train de roues (13, 13a-13d) dans la direction de lacet,
la direction de roulis est une direction de pivotement avec le sens de la marche avant
et de la marche arrière (x) défini comme un axe de pivotement,
la variable de transformation est une variable qui effectue une transformation mutuelle
entre le déplacement angulaire du train de roues (13, 13a-13d) dans la direction de
lacet et le déplacement angulaire du bogie (12a, 12b) dans la direction de lacet,
l'équation d'observation est une équation décrite en utilisant une variable d'observation
et la variable de transformation,
la variable d'observation inclut les accélérations du bogie (12a, 12b) et du train
de roues (13, 13a-13d) dans la direction de la droite et de la gauche (y),
le moyen de fonctionnement de filtre (405) est configuré pour utiliser une valeur
mesurée de la variable d'observation, l'équation d'état dans laquelle la valeur mesurée
de la force en marche avant et en marche arrière (T1-T4) et une valeur réelle de la variable de transformation sont remplacées, et l'équation
d'observation dans laquelle la valeur réelle de la variable de transformation est
remplacée, et détermine les valeurs estimées des variables d'état lorsqu'une erreur
entre la variable d'observation, la valeur mesurée et une valeur estimée ou une valeur
prévue de l'erreur devient minimum,
le premier moyen de calcul d'état de voie ferrée (407) et le second moyen de calcul
d'état de voie ferrée (411) sont configurés pour utiliser une valeur estimée du déplacement
angulaire du bogie (12a, 12b) dans la direction de lacet, qui est l'une des variables
d'état déterminées par le moyen de fonctionnement de filtre (405), et la valeur réelle
de la variable de transformation pour calculer une valeur estimée du déplacement angulaire
du train de roues (13, 13a-13d) dans la direction de lacet, et utilisent la valeur
estimée du déplacement angulaire du train de roues (13, 13a-13d) dans la direction
de lacet, la valeur de la force en marche avant et en marche arrière (T1-T4), et l'expression relationnelle pour calculer la valeur estimée de la première quantité
physique,
l'expression relationnelle est une expression dans laquelle une équation de déplacement
qui décrit le déplacement du train de roues (13, 13a-13d) dans la direction de lacet
est exprimée en utilisant la force en marche avant et en marche arrière (T1-T4), et
la valeur réelle de la variable de transformation est dérivée en utilisant la valeur
mesurée de la force en marche avant et en marche arrière (T1-T4).
9. Système d'inspection (400) selon la revendication 8, dans lequel
l'équation d'état est constituée en utilisant une équation de déplacement qui décrit
le déplacement du train de roues (13, 13a-13d) dans la direction de gauche et de droite
(y), une équation de déplacement qui décrit le déplacement du bogie (12a, 12b) dans
la direction de gauche et de droite (y), une équation de déplacement qui décrit le
déplacement du bogie (12a, 12b) dans la direction de lacet, une équation de déplacement
qui décrit le déplacement du bogie (12a, 12b) dans la direction de roulis, et une
équation de déplacement qui décrit le déplacement du ressort pneumatique dans la direction
de roulis,
l'équation de déplacement qui décrit le déplacement du train de roues (13, 13a-13d)
dans la direction de gauche et de droite (y) est une équation de déplacement décrite
en utilisant la variable de transformation au lieu d'utiliser la déplacement angulaire
du train de roues (13, 13a-13d) dans la direction de lacet,
l'équation de déplacement qui décrit le déplacement du bogie (12a, 12b) dans la direction
de lacet est une équation de déplacement décrite en utilisant la force en marche avant
et en marche arrière (T1-T4) au lieu d'utiliser le déplacement angulaire et la vitesse angulaire du train de
roues (13, 13a-13d) dans la direction de lacet, et
la variable de transformation est représentée par une différence entre le déplacement
angulaire du bogie (12a, 12b) dans la direction de lacet et le déplacement angulaire
du train de roues (13, 13a-13d) dans la direction de lacet.
10. Système d'inspection (400) selon la revendication 8 ou 9, dans lequel
le moyen d'acquisition de données (403, 2011a, 2011b) est configuré pour acquérir
également une valeur mesurée d'accélération du châssis du véhicule (11) dans la direction
de droite et de gauche (y),
la variable d'observation inclut en outre l'accélération du châssis du véhicule (11)
dans la direction de droite et de gauche (y),
les variables d'état incluent en outre un déplacement et une vitesse du châssis du
véhicule (11) dans la direction de droite et de gauche (y), un déplacement angulaire
et une vitesse angulaire du châssis du véhicule (11) dans la direction de lacet, un
déplacement angulaire et une vitesse angulaire du châssis du véhicule (11) dans la
direction de roulis, et un déplacement angulaire d'un amortisseur de lacet fixé sur
le véhicule ferroviaire dans la direction de lacet, et
le moyen de fonctionnement de filtre (405) est configuré pour déterminer les variables
d'état lorsque les différences entre les accélérations du châssis du véhicule (11),
du bogie (12a, 12b) et du train de roues (13, 13a-13d) dans la direction de droite
et de gauche (y), les valeurs mesurées et les valeurs calculées deviennent minimum.
11. Système d'inspection (400) selon la revendication 10, dans lequel
l'équation d'état est constituée en utilisant en outre une équation de déplacement
qui décrit le déplacement du châssis du véhicule (11) dans la direction de droite
et de gauche (y), une équation de déplacement qui décrit le déplacement du châssis
du véhicule (11) dans la direction de lacet, une équation de déplacement qui décrit
le déplacement du châssis du véhicule (11) dans la direction de roulis, et une équation
de déplacement qui décrit le déplacement de l'amortisseur de lacet dans la direction
de lacet.
12. Système d'inspection (400) selon l'une quelconque des revendications 8 à 11, dans
lequel
l'équation d'observation est constituée en utilisant en outre l'équation de déplacement
qui décrit le déplacement du train de roues (13, 13a-13d) dans la direction de droite
et de gauche (y) et l'équation de déplacement qui décrit le déplacement du bogie (12a,
12b) dans la direction de droite et de gauche (y), et
l'équation de déplacement qui décrit le déplacement du train de roues (13, 13a-13d)
dans la direction de droite et de gauche (y) est une équation de déplacement décrite
en utilisant la variable de transformation au lieu d'utiliser le déplacement angulaire
du train de roues (13, 13a-13d) dans la direction de lacet.
13. Système d'inspection (400) selon la revendication 12, dans lequel
l'équation d'observation est constituée en utilisant en outre l'équation de déplacement
qui décrit le déplacement du châssis du véhicule (11) dans la direction de droite
et de gauche (y).
14. Système d'inspection (400) selon l'une quelconque des revendications 8 à 13, dans
lequel
le premier moyen de calcul d'état de voie ferrée (407) et le second moyen de calcul
d'état de voie ferrée (411) sont configurés pour dériver une quantité d'irrégularité
d'alignement (yR1-yR4) de la voie ferrée (16) en guise de valeur estimée de la première quantité physique
sur la base du déplacement et de la vitesse du bogie (12a, 12b) dans la direction
de droite et de gauche (y) qui sont les variables d'état déterminées par le moyen
de fonctionnement de filtre (405), du déplacement et de la vitesse du train de roues
(13, 13a-13d) dans la direction de droite et de gauche (y) qui sont les variables
d'état déterminées par le moyen de fonctionnement de filtre (405), de la valeur estimée
du déplacement angulaire du train de roues (13, 13a-13d) dans la direction de lacet,
de la valeur mesurée de la force en marche avant et en marche arrière (T1-T4), et de l'équation de déplacement qui décrit le déplacement du train de roues (13,
13a-13d) dans la direction de lacet, et
l'équation de déplacement qui décrit le déplacement du train de roues (13, 13a-13d)
dans la direction de lacet inclut la force en marche avant et en marche arrière (T1-T4) et la quantité d'irrégularité d'alignement (yR1-yR4) de la voie ferrée (16) comme des variables.
15. Système d'inspection (400) selon l'une quelconque des revendications 8 à 14, comprenant
en outre :
un moyen de réglage de fréquence (404, 406) configuré pour réduire une intensité de
signal d'une composante à basse fréquence générée en raison du véhicule ferroviaire
qui se déplace sur une partie incurvée de la voie ferrée (16) à partir des données
chronologiques d'une seconde quantité physique, dans lequel
la seconde quantité physique est une quantité physique qui varie selon un état du
véhicule ferroviaire, et
le moyen de réglage de fréquence comprend un second moyen de réglage de fréquence
(406) configuré pour réduire une intensité de signal d'une composante à basse fréquence
générée en raison du véhicule ferroviaire qui se déplace sur une partie incurvée de
la voie ferrée (16) à partir des données chronologiques des valeurs estimées des variables
d'état qui sont l'une de la seconde quantité physique.
16. Système d'inspection (400) selon l'une quelconque des revendications 8 à 15, dans
lequel
le filtre est un filtre de Kalman.
17. Système d'inspection (400) selon l'une quelconque des revendications 1 à 16, dans
lequel
la première quantité physique est une quantité d'irrégularité d'alignement (yR1-yR4) de la voie ferrée (16) ou une force latérale (Q1-Q4) qui est une contrainte dans la direction de droite et de gauche (y) entre une roue
(14L, 14R, 14a-14d) prévue sur le train de roues (13, 13a-13d) et la voie ferrée (16),
et
la direction de droite et de gauche (y) est une direction perpendiculaire au sens
de la marche avant et de la marche arrière (x) et à la direction vers le haut et vers
le bas (z) qui est une direction perpendiculaire à la voie ferrée (16).
18. Système d'inspection (400) selon l'une quelconque des revendications 1 à 17, dans
lequel
la force en marche avant et en marche arrière (T1-T4) est, parmi les composantes dans le sens de la marche avant et de la marche arrière
(x) des forces qui se produisent dans les deux éléments fixés sur les deux côtés du
train de roues (13, 13a-13d) dans la direction de droite et de gauche (y), la composante
opposée en phase aux autres, et
la direction de droite et de gauche (y) est une direction perpendiculaire au sens
de la marche avant et de la marche arrière (x) et à la direction vers le haut et vers
le bas (z) qui est une direction perpendiculaire à la voie ferrée (16).
19. Procédé d'inspection exécuté par un système d'inspection, le procédé d'inspection
comprenant :
une étape d'acquisition de données (S701) comprenant l'acquisition de données mesurées
qui sont les données chronologiques de valeurs mesurées à mesurer en provoquant le
déplacement d'un véhicule ferroviaire comprenant un châssis de véhicule (11), un bogie
(12a, 12b) et un train de roues (13, 13a-13d) sur une voie ferrée (16) ;
une première étape de calcul d'état de voie ferrée (S705) comprenant le calcul d'une
valeur estimée d'une première quantité physique ;
une étape de calcul de quantité de correction (S707) comprenant le calcul d'une quantité
de correction pour la valeur estimée de la première quantité physique sur la base
de la valeur estimée de la première quantité physique calculée par la première étape
de calcul d'état de voie ferrée (S705) et d'une valeur réelle de la première quantité
physique ;
une seconde étape de calcul d'état de voie ferrée comprenant le calcul d'une valeur
estimée de la première quantité physique une fois que la quantité de correction a
été calculée (S707) ; et
une étape de correction d'état de voie ferrée comprenant la correction de la valeur
estimée de la première quantité physique calculée par la seconde étape de calcul d'état
de voie ferrée à l'aide de la quantité de correction, dans lequel
les données mesurées contiennent une valeur mesurée d'une force en marche avant et
en marche arrière (T1-T4),
la force en marche avant et en marche arrière (T1-T4) est une force dans le sens de la marche avant et de la marche arrière (x) destinée
à se produire dans un élément disposé entre le train de roues (13, 13a-13d) et le
bogie (12a, 12b) sur lequel le train de roues (13, 13a-13d) est prévu,
l'élément est un élément destiné à supporter une boîte d'essieu,
le sens de la marche avant et de la marche arrière (x) est une direction le long d'une
direction de déplacement du véhicule ferroviaire,
la première quantité physique est une quantité physique qui reflète un état de la
voie ferrée (16),
la première étape de calcul d'état de voie ferrée (S705) et la seconde étape de calcul
de voie ferrée utilisent une expression relationnelle qui représente la relation entre
la première quantité physique à un emplacement du train de roues (13, 13a-13d) et
la force en marche avant et en marche arrière (T1-T4) et une valeur mesurée de la force en marche avant et en marche arrière (T1-T4) afin de calculer la valeur estimée de la première quantité physique,
la valeur mesurée de la force en marche avant et en marche arrière (T1-T4) utilisée à la première étape de calcul d'état de voie ferrée (S705) est contenue
dans les données mesurées acquises par l'étape d'acquisition de données (S701) avant
que la quantité de correction ne soit calculée (S707), et
la valeur mesurée de la force en marche avant et en marche arrière (T1-T4) utilisée à la seconde étape de calcul d'état de voie ferrée est contenue dans les
données mesurées acquises par l'étape d'acquisition de données après que la quantité
de correction a été calculée (S707).
20. Programme informatique comprenant des instructions qui, lorsque le programme est exécuté
par un ordinateur, permettent à l'ordinateur d'exécuter des étapes comprenant :
une étape d'acquisition de données (S701) comprenant l'acquisition de données mesurées
qui sont les données chronologiques de valeurs mesurées à mesurer en provoquant le
déplacement d'un véhicule ferroviaire comprenant un châssis de véhicule (11), un bogie
(12a, 12b) et un train de roues (13, 13a-13d) sur une voie ferrée (16) ;
une première étape de calcul d'état de voie ferrée (S705) comprenant le calcul d'une
valeur estimée d'une première quantité physique ;
une étape de calcul de quantité de correction (S707) comprenant le calcul d'une quantité
de correction pour la valeur estimée de la première quantité physique sur la base
de la valeur estimée de la première quantité physique calculée par la première étape
de calcul d'état de voie ferrée (S705) et d'une valeur réelle de la première quantité
physique ;
une seconde étape de calcul d'état de voie ferrée comprenant le calcul d'une valeur
estimée de la première quantité physique une fois que la quantité de correction a
été calculée (S707) ; et
une étape de correction d'état de voie ferrée comprenant la correction de la valeur
estimée de la première quantité physique calculée par la seconde étape de calcul d'état
de voie ferrée à l'aide de la quantité de correction, dans lequel
les données mesurées contiennent une valeur mesurée d'une force en marche avant et
en marche arrière (T1-T4),
la force en marche avant et en marche arrière (T1-T4) est une force dans le sens de la marche avant et de la marche arrière (x) destinée
à se produire dans un élément disposé entre le train de roues (13, 13a-13d) et le
bogie (12a, 12b) sur lequel le train de roues (13, 13a-13d) est prévu,
l'élément est un élément destiné à supporter une boîte d'essieu,
le sens de la marche avant et de la marche arrière (x) est une direction le long d'une
direction de déplacement du véhicule ferroviaire,
la première quantité physique est une quantité physique qui reflète un état de la
voie ferrée (16),
la première étape de calcul d'état de voie ferrée (S705) et la seconde étape de calcul
de voie ferrée utilisent une expression relationnelle qui représente la relation entre
la première quantité physique à un emplacement du train de roues (13, 13a-13d) et
la force en marche avant et en marche arrière (T1-T4) et une valeur mesurée de la force en marche avant et en marche arrière (T1-T4) afin de calculer la valeur estimée de la première quantité physique,
la valeur mesurée de la force en marche avant et en marche arrière (T1-T4) utilisée à la première étape de calcul d'état de voie ferrée (S705) est contenue
dans les données mesurées acquises par l'étape d'acquisition de données (S701) avant
que la quantité de correction ne soit calculée (S707), et
la valeur mesurée de la force en marche avant et en marche arrière (T1-T4) utilisée à la seconde étape de calcul d'état de voie ferrée est contenue dans les
données mesurées acquises par l'étape d'acquisition de données après que la quantité
de correction a été calculée (S707).