Analog Circuit Fault Diagnosis Method Based on CPSO-SVM

被引：0

作者：

Wang, Jianchen ^{[1
]}

Shan, Ganlin ^{[1
]}

Zhang, Qilong ^{[1
]}

Duan, Xiusheng ^{[1
]}

机构：

[1] Shijiazhuang Mech Engn Coll, Dept Opt & Elect Engn, Shijiazhuang, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE) | 2011年

关键词：

analog circuit; fault diagnosis; support vector machine; chaos particle swarm optimization; wavelet analysis;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

To realize feature extraction and fault signal recognition efficiently in analog circuit fault diagnosis, a novel diagnosis method called CPSO-SVM is proposed. In this method, Chaos theory and Particle Swarm Optimization (PSO) are combined to form a new approach called CPSO and this approach is applied to the optimization of SVM parameters. A fault diagnosis experiment on a certain filter circuit indicates that the proposed diagnosis method is feasible and efficient.

引用

页码：465 / 468

页数：4

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