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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34, 5 (2004) xx
Conflicts versus Analytical Redundancy Relations: A comparative analysis of the model based diagnosis approach from the Artificial Intelligence and Automatic Control perspectives
Marie-Odile Cordier 1, Philippe Dague 2, François Lévy 2, Jacky Montmain 3, Marcel Staroswiecki 4, Louise Travé-Massuyès 5
(2004)

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.
1:  DREAM (INRIA - IRISA)
CNRS : UMR6074 – INRIA – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1
2:  Laboratoire d'informatique de Paris-nord (LIPN)
CNRS : UMR7030 – Université Paris XIII - Paris Nord
3:  Laboratoire de Génie Informatique et d'Ingénierie de Production (LGI2P)
Ecole Nationale Supérieure des Mines d'Alès
4:  Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE)
CNRS : UMR8029 – École normale supérieure de Cachan - ENS Cachan
5:  Laboratoire d'analyse et d'architecture des systèmes (LAAS)
CNRS : UPR8001 – Université Paul Sabatier [UPS] - Toulouse III – Institut National Polytechnique de Toulouse - INPT – Institut National des Sciences Appliquées (INSA) - Toulouse
Computer Science/Automatic Control Engineering

Computer Science/Artificial Intelligence
Analytical redundancy relation support – fault detection and isolation – model-based diagnosis – parity space approach versus consistency-based logical approach – potential conflict