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Time Domain Analysis Based Fault Diagnosis Methodology for Analog Circuits - A Comparative Study of Fuzzy and Neural Classifier Performance

Author(s): V. Prasannamoorthy | R. Bharat Ram | V. Manikandan | N. Devarajan

Journal: International Journal of Computer Science and Information Security
ISSN 1947-5500

Volume: 8;
Issue: 2;
Start page: 306;
Date: 2010;
Original page

Keywords: Fault diagnosis | fuzzy logic system | neural networks | Sallen-key Bandpass filter | ijcsis

In this paper, we attempt to diagnose the occurrence of faults in analog electronic circuits based upon variations in time domain specifications corresponding to the circuit condition under consideration relative to the fault free circuit. To achieve this, both a fuzzy as well as a neural classifier have been utilized to operate with the fault dictionary data as base. Through this process, a general comparison is drawn out between the performance of either route in dealing with fault diagnosis of circuits. An illustrative example is considered, on which both the fuzzy and neural algorithms are tested, and their performance in fault diagnosis is compared. Further, the suitability of the fuzzy and neural techniques to various kinds of diagnosis problems depending upon the nature of data available is also discussed.
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