Analog Circuit Intelligent Fault Diagnosis Based on PCA and OAOSVM
2012 ◽
Vol 468-471
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pp. 802-806
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Keyword(s):
Fault diagnosis of analog circuits is essential for guaranteeing the reliability and maintainability of electronic systems. Analog circuit fault diagnosis can be regarded as a pattern recognition issue and addressed by one-against-one SVM. In order to obtain a good SVM-based fault classifier, the principal component analysis technique is adopted to capture the major fault features. The extracted fault features are then used as the inputs of SVM to solve fault diagnosis problem. The effectiveness of the proposed method is verified by the experimental results.
2012 ◽
Vol 490-495
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pp. 1130-1134
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2014 ◽
Vol 494-495
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pp. 809-812
2012 ◽
Vol 591-593
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pp. 1414-1417
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2012 ◽
Vol 235
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pp. 423-427
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2012 ◽
Vol 6-7
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pp. 1045-1050