University of Hertfordshire

Fault diagnosis of analog circuits with tolerances using artificial neural networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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Original languageEnglish
Title of host publicationIn: Procs of IEEE Asia-Pacific Conference on Circuits and Systems, APCCAS 2000
ISBN (Print)0-7803-6253-5
Publication statusPublished - 2000


This paper proposes a method for analog fault diagnosis using neural networks. The primary focus of the paper is to provide robust diagnosis using a mechanism to deal with the problem of component tolerances and reduce testing time. The proposed approach is based on the k-fault diagnosis method and artificial backward propagation neural network. Simulation results show that the method is robust and fast for fault diagnosis of analog circuits with tolerances.


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