Abstract
This work focuses on a residual evaluation method that explores the symbolic-numeric integration capability provided by fuzzy sets. Qualitative information obtained from symbolic interpretation of residual responses, such as signs, is used to obtain robust isolation properties. A general framework based on fuzzy systems is proposed so that the reasoning procedure can be designed either from a qualitative analysis of the residual responses or directly by the identification of a recurrent neural network. An application to an electrical motor illustrates the proposed method.
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