DocumentCode :
2844173
Title :
Discovering operational signatures with time constraints from a discrete event sequence
Author :
Bouché, Philippe ; Le Goc, Marc
Author_Institution :
Lab. des Sci. de l´´Inf. et des Syst., CNRS, Marseille, France
fYear :
2004
fDate :
5-8 Dec. 2004
Firstpage :
55
Lastpage :
60
Abstract :
This paper aims at showing a method to discover signatures (or models of chronicles) from a discrete event sequence (alarms) generated by a monitoring cognitive agent (MCA). When the counting process of the events generated by a couple (process, MCA) behaves like a Poisson process, this couple can be considered as stochastic discrete event generator SDEG(pr, MCA) and modeled as a superposition of Poisson and an homogeneous discrete time Markov chain. The ´BJT´ algorithm uses these two representations in order to help in the discovering of signatures. The results obtained on an industrial process monitored with a Sachem system have been validated by experts, confirming so the relevance of the approach within an industrial frame.
Keywords :
Markov processes; cognitive systems; computerised monitoring; data mining; multi-agent systems; process monitoring; Poisson process; Sachem system; discrete event sequence; discrete time Markov chain; industrial process monitoring; monitoring cognitive agent; operational signature discovery; stochastic discrete event generator; time constraints; Actuators; Data analysis; Instruments; Knowledge acquisition; Large scale integration; Monitoring; Sensor systems; State-space methods; Stochastic processes; Time factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2004. HIS '04. Fourth International Conference on
Print_ISBN :
0-7695-2291-2
Type :
conf
DOI :
10.1109/ICHIS.2004.37
Filename :
1409981
Link To Document :
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