EP 1627494 A1 20060222 - METHOD FOR THE MACHINE LEARNING OF FREQUENT CHRONICLES IN AN ALARM LOG FOR THE MONITORING OF DYNAMIC SYSTEMS
Title (en)
METHOD FOR THE MACHINE LEARNING OF FREQUENT CHRONICLES IN AN ALARM LOG FOR THE MONITORING OF DYNAMIC SYSTEMS
Title (de)
VERFAHREN ZUM AUTOMATISCHEN LERNEN DER CHRONISCHEN HÄUFIGKEITEN EINES ALARM-LOGS ZUM ÜBERWACHEN VON DYNAMISCHEN SYSTEMEN
Title (fr)
PROCEDE D'APPRENTISSAGE AUTOMATIQUE DE CHRONIQUES FREQUENTES DANS UN JOURNAL D'ALARMES POUR LA SUPERVISION DE SYSTEMES DYNAMIQUES
Publication
Application
Priority
- FR 2004050205 W 20040525
- FR 0350181 A 20030527
Abstract (en)
[origin: WO2004107652A1] The invention relates to a method for the machine learning of frequent chronicles in a log of alarms from a dynamic system, for the monitoring of said system, and a learning system which is used to carry out the method in a monitoring system. According to the invention, sequences of alarms (51) are selected S1, S2,..., Sp from an alarm log J (50) and reorganised (52) into groups of similar sequences G1, G2,..., Gr. The alarms from the groups are then used to produce (53) partial logs J1, J2, , Jr. Subsequently, chronicle learning is performed (54) on each transmitted partial log Ji, and the partial set Ei of the frequent chronicles from Ji is determined (55). Finally, a set E of chronicles from log J is formed (56) with chronicles from different partial sets Ei.
IPC 1-7
IPC 8 full level
H04L 12/24 (2006.01)
CPC (source: EP US)
G05B 23/027 (2013.01 - EP US); H04L 41/00 (2013.01 - US); H04L 41/0613 (2013.01 - EP US); H04L 41/065 (2013.01 - EP US); Y04S 40/00 (2013.01 - EP US)
Citation (search report)
See references of WO 2004107652A1
Designated contracting state (EPC)
AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LI LU MC NL PL PT RO SE SI SK TR
DOCDB simple family (publication)
FR 2855634 A1 20041203; FR 2855634 B1 20050708; EP 1627494 A1 20060222; US 2006208870 A1 20060921; US 7388482 B2 20080617; WO 2004107652 A1 20041209
DOCDB simple family (application)
FR 0350181 A 20030527; EP 04785574 A 20040525; FR 2004050205 W 20040525; US 55430305 A 20051026