NDLI: A fault diagnosis approach for hybrid systems

Content Provider	IEEE Xplore Digital Library
Author	Mokhtari, A. Le Lann, M.V. Hetreux, G. Le Lann, J.M.
Copyright Year	2006
Description	Author affiliation: LAAS, Toulouse Univ. (Mokhtari, A.; Le Lann, M.V.)
Abstract	This communication presents a first attempt in the use of a dynamic hybrid simulator within a fault diagnosis system coupled to a classification methodology. The use of hybrid modelling has the advantage to clearly separate the continuous aspects from the discrete ones; this allows an analysis of causalities resulting from the state changes. Our approach begins with the simulation of the system in normal conditions until the existence of dysfunction has been detected (by comparing process measurement and simulation result). Then, a backward simulation through the chain of causality is performed using the same Petri net and the method is propagated until the coherence between simulation and real behaviour is reached. Nevertheless, according to this procedure all the possible scenarios of faults should be explored. A classification method based on measurement data would be used to restrict the tree of possibilities of faults to be explored. In the framework of this study, the simulation aspects have been entrusted to the general object-oriented environment PrODHyS (process object dynamic hybrid simulator). Its major characteristic is its ability to simulate systems described with object differential Petri nets (ODPN) formalism
Starting Page	615
Ending Page	620
File Size	310687
Page Count	6
File Format	PDF
ISBN	1424403901
ISSN	1553572X
DOI	10.1109/IECON.2006.348054
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Object oriented modeling Vehicle dynamics Petri nets Humans Fault detection Classification tree analysis Vehicles Artificial satellites Chemicals Classification Dynamic Hybrid Simulation
Content Type	Text
Resource Type	Article

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