Frequency-domain grouping robust fault diagnosis for analog circuits with uncertainties

✍ Scribed by Yuen-Haw Chang

• Publisher: John Wiley and Sons
• Year: 2002
• Tongue: English
• Weight: 176 KB
• Volume: 30
• Category: Article
• ISSN: 0098-9886
• DOI: 10.1002/cta.180

✦ Synopsis

Abstract

A new frequency‐domain grouping robust fault diagnosis (GRFD) scheme, based on the design for both grouping‐robust estimation/evaluation of component variation rate and Boolean‐based decision process, is proposed for solving fault diagnosis of large‐scale analog circuits with uncertainties, including both component tolerances and measurement errors.In this scheme, first, grouping‐robust estimators for one partitioning of all component groups, designed by using grouping‐full‐column rank output measurement technique, are employed to estimate the component variation rate. Secondly, based on the faulty possibility judgment policy suggested in this research, grouping‐robust evaluators are employed for the careful evaluation of component variation rate in order to reduce the effect of both component tolerances and measurement errors on the diagnostic test result for one partitioning. Next, both repeating the same one‐partitioning GRFD for a variety of partitionings and combining Boolean‐based decision process, an overall GRFD scheme is proposed for achieving analog fault diagnosis. Finally, a fault diagnosis example of a large‐scale analog circuit is illustrated. The results indicate that without any a priori information about the type of component failure, a precise t‐diagnosable case for a large‐scale circuit with component tolerances and measurement errors is accomplished at the lowest measurement cost. Copyright © 2001 John Wiley & Sons, Ltd.