(19)
(11)EP 3 599 528 A3

(12)EUROPEAN PATENT APPLICATION

(88)Date of publication A3:
03.06.2020 Bulletin 2020/23

(43)Date of publication A2:
29.01.2020 Bulletin 2020/05

(21)Application number: 19181403.7

(22)Date of filing:  19.06.2019
(51)International Patent Classification (IPC): 
G05B 23/02(2006.01)
(84)Designated Contracting States:
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated Extension States:
BA ME
Designated Validation States:
KH MA MD TN

(30)Priority: 28.06.2018 US 201816022059

(71)Applicant: Honeywell International Inc. Intellectual Property - Patent Services
Morris Plains, NJ 07950 (US)

(72)Inventors:
  • KIM, Kyusung
    Morris Plains, NJ 07950 (US)
  • HICKENBOTTOM, Christopher
    Morris Plains, NJ 07950 (US)
  • ULUYOL, Onder
    Morris Plains, NJ 07950 (US)
  • ERTL, Lukas
    Morris Plains, NJ 07950 (US)
  • RUDOLECKY, Tomas
    Morris Plains, NJ 07950 (US)
  • HRNCIR, Zdenek
    Morris Plains, NJ 07950 (US)

(74)Representative: Lucas, Peter Lawrence 
LKGlobal UK Ltd. Cambridge House, Henry Street
Bath BA1 1BT
Bath BA1 1BT (GB)

  


(54)SYSTEM AND METHOD FOR DETECTING A SHIFT IN REAL DATA TREND USING A CONFIGURABLE ADAPTIVE THRESHOLD


(57) A computer-implemented system for detecting shifts in data is provided. The system is configured to: calculate, based on the value of a plurality of user-selectable baseline configuration parameters, baseline values for a series of data items in a data structure, wherein the baseline values include an average value and a standard deviation value; calculate, based on the value of a plurality of user-selectable weighted threshold parameters, a weighted threshold level for the series of data items; detect, based on the value of a plurality of user-selectable shift detection parameters, a shift in the series of data items, wherein the shift comprises an abrupt shift, a rapid drift, or a gradual drift; convert, based on the value of a plurality of user-selectable normalization parameters, the value of each data item in the series of data items to a normalized value; and determine whether the normalized values indicate a data shift.







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