Analog Circuit Diagnosis Based on SubKPCA-SVM

Abstract

In analog circuit diagnosis, too many variables increase computing times and result in real-time performance degradation. In this paper, SubKPCA have been proposed to extract the effective feature, on this basis, SVM is introduced to establish the diagnosis model. Analog circuit fault diagnosis experiments on CTSV filter verify the effectiveness and accuracy of the proposed method.