Model Acceptability Measure for the Identification of Failures in Qualitative Fault Monitoring Systems

Keywords

Abstract

This paper deals with two of the main tasks of Fault Monitoring Systems (FMS): fault detection and identification. During fault detection the FMS should realize that the plant behavior is abnormal, and therefore, that the plant is not working properly. During fault identification the FMS should conclude which failure has been produced in the plant. The first goal of this work is to consolidate a new fault detection technique, called enveloping, developed in the context of the Fuzzy Inductive Reasoning Fault Monitoring System (FIRFMS). The second and main goal of this paper is to introduce the model acceptability measure as a tool to enhance and make more robust the fault identification process also in the context of FIRFMS. The enveloping and the model acceptability measure are applied to an electric circuit showing that the new methods work much better than the ones previously used in FIRFMS for the same purpose.

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Last modified: June 17, 2005 -- © François Cellier