DocumentCode
2766229
Title
Diagnosing hybrid dynamical systems: fault graphs, statistical residuals and Viterbi algorithms
Author
Basseville, Michéle ; Benveniste, Albert ; Tromp, Laurent
Author_Institution
IRISA, Rennes, France
Volume
4
fYear
1998
fDate
16-18 Dec 1998
Firstpage
3757
Abstract
We address the problem of model-based fault diagnosis for hybrid numeric/symbolic dynamical systems. The objective is the systematic design of fault diagnosis algorithms, based on fault graphs provided by reliability analysis and on-board sensor data processing. We propose an approach, based on HMM ideas and a Viterbi algorithm. Experimental results of the proposed approach for a simulated mechanical engineering example are reported. Extensions for taking into account a discrete controller and fault concurrence are discussed
Keywords
Petri nets; fault diagnosis; hidden Markov models; reliability theory; statistical analysis; Viterbi algorithms; discrete controller; fault concurrence; fault graphs; hybrid dynamical systems; model-based fault diagnosis; reliability analysis; simulated mechanical engineering example; statistical residuals; Costs; Data processing; Failure analysis; Fault detection; Fault diagnosis; Hidden Markov models; Mechanical sensors; Monitoring; Sensor systems; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location
Tampa, FL
ISSN
0191-2216
Print_ISBN
0-7803-4394-8
Type
conf
DOI
10.1109/CDC.1998.761804
Filename
761804
Link To Document