DocumentCode :
1107545
Title :
Conflicts versus analytical redundancy relations: a comparative analysis of the model based diagnosis approach from the artificial intelligence and automatic control perspectives
Author :
Cordier, Marie-Odile ; Dague, Philippe ; Lévy, François ; Montmain, Jacky ; Staroswiecki, Marcel ; Travé-Massuyès, Louise
Author_Institution :
IRISA, Rennes, France
Volume :
34
Issue :
5
fYear :
2004
Firstpage :
2163
Lastpage :
2177
Abstract :
Two distinct and parallel research communities have been working along the lines of the model-based diagnosis approach: the fault detection and isolation (FDI) community and the diagnostic (DX) community that have evolved in the fields of automatic control and artificial intelligence, respectively. This paper clarifies and links the concepts and assumptions that underlie the FDI analytical redundancy approach and the DX consistency-based logical approach. A formal framework is proposed in order to compare the two approaches and the theoretical proof of their equivalence together with the necessary and sufficient conditions is provided.
Keywords :
artificial intelligence; fault diagnosis; redundancy; analytical redundancy relation; artificial intelligence; automatic control; consistency-based logical approach; fault detection; fault isolation; model based diagnosis; parity space approach; potential conflict; Artificial intelligence; Automatic control; Fault detection; Fault diagnosis; Pattern recognition; Predictive models; Prototypes; Redundancy; Sufficient conditions; Terminology; Algorithms; Artificial Intelligence; Decision Support Techniques; Diagnosis, Computer-Assisted; Equipment Failure Analysis; Interdisciplinary Communication; Models, Theoretical; Research; Systems Integration; Systems Theory;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/TSMCB.2004.835010
Filename :
1335513
Link To Document :
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