Diagnosing systems modeled with piecewise linear constraints.

Henri Beringer
Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, IEEE (1990), pp. 308-313

Abstract

Most approaches to model-based diagnosis use incomplete constraint satisfaction techniques, and are therefore incomplete. It is shown how diagnostic may be considered as a general con-
straint 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.
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