DocumentCode :
3052144
Title :
Diagnosing systems modeled with piecewise linear constraints
Author :
Beringer, Henri ; De Backer, Bruno
Author_Institution :
IBM France Sci. Center, Paris, France
fYear :
1990
fDate :
6-9 Nov 1990
Firstpage :
308
Lastpage :
313
Abstract :
Most approaches to model-based diagnosis use incomplete constraint satisfaction techniques and are therefore incomplete. It is shown here how diagnostics may be considered as a general constraint satisfaction problem. Provided the system to be repaired is modeled with piecewise linear constraints on real variables, it is possible to give a clear characterization of the conflict set. Furthermore, a complete algorithm to find every conflict is described. This algorithm is an original and elegant solution to the diagnostic problem. Moreover, it can be used in order to build a compiled form of the initial model. Once this compiled model has been obtained, all the possible faults of a given system can be identified quite easily
Keywords :
artificial intelligence; cognitive systems; inference mechanisms; conflict set; incomplete constraint satisfaction techniques; model-based diagnosis; piecewise linear constraints; Algorithm design and analysis; Analog circuits; Circuit faults; Electronic circuits; Electronic components; Engines; Integrated circuit modeling; Piecewise linear techniques; Programmable control; Resistors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools for Artificial Intelligence, 1990.,Proceedings of the 2nd International IEEE Conference on
Conference_Location :
Herndon, VA
Print_ISBN :
0-8186-2084-6
Type :
conf
DOI :
10.1109/TAI.1990.130354
Filename :
130354
Link To Document :
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