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