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Fault diagnosis system based on sensitivity analysis and fuzzy logic

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3 Author(s)
De Miguel, L.J. ; Dept. of Syst. Eng. & Control, Valladolid Univ., Spain ; Mediavilla, M. ; Peran, J.R.

This paper describes three ways of building a decision system for model-based fault diagnosis. The aim is the management of uncertain and redundant information provided by a parity equation fault diagnosis method. Although any residual generation method may be considered, the input-output parity equation approach has been used. Sensitivity analysis is the key point in the evaluation of fault symptoms in order to obtain a final diagnosis. With this method, sensitivity estimates are easily obtainable by direct observation of the parity equations. Three ways to solve the decision problem are described: fuzzy logic-based, direct weighting of symptoms and directional properties. A simple simulated case has been used to prove its performance. Moreover, the fuzzy approach, that has showed to be the most robust of them, has been tested on a real laboratory equipment with similar results

Published in:

Multiple-Valued Logic, 1996. Proceedings., 26th International Symposium on

Date of Conference:

29-31 May 1996