title: Conflicts versus analytical redundancy relations: a comparative analysis of the model based diagnosis approach from the artificial intelligence and automatic control perspectives.
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.
authors.affiliation: IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France.
authors.forename: Marie-Odile
authors.initials: MO
authors.lastname: Cordier
authors.forename: Philippe
authors.initials: P
authors.lastname: Dague
authors.forename: François
authors.initials: F
authors.lastname: Lévy
authors.forename: Jacky
authors.initials: J
authors.lastname: Montmain
authors.forename: Marcel
authors.initials: M
authors.lastname: Staroswiecki
authors.forename: Louise
authors.initials: L
authors.lastname: Travé-Massuyès
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003661:Decision Support Techniques; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D019544:Equipment Failure Analysis / Q000379:methods*; D033183:Interdisciplinary Communication; D008962:Models, Theoretical; D012106:Research / Q000639:trends; D012107:Research Design; D018511:Systems Integration; D013598:Systems Theory