A method for minimum node selection in diagnostics of analog systems

摘要

The aim of this work is to introduce a strategy for finding minimal set of test nodes for diagnostics of complex analog systems with single parametric faults, using SVM classifier as a fault locator. The results of diagnostics of a low-pass filter using taboo search and GA algorithms as node selectors in conjunction with SVM fault classifier are presented.