The Study About Feature Extraction of Analog Circuit Fault Diagnosis Based on Annealing Genetic Hybrid Algorithm

摘要：

This paper forms the annealing genetic hybrid algorithm,which is about the genetic algorithm and simulated annealing algorithm improved and integrated. For the problem about feature extraction of nonlinear analog circuit fault diagnosis based on Volterra kernel,using annealing genetic hybrid algorithm to research,put forward annealing genetic intelligent extraction method of circuit fault diagnosis feature,and verified by practical examples. Experiments show that this method has realized effective extraction of circuit diagnostic features and improve the prediction accuracy of fault diagnosis system based on BP neural network.

关键词： Feature extraction Annealing genetic algorithms Analog circuits Fault diagnosis

作者: Lin Haijun Wan Sibo Zhong Hui Wang Qigao

作者单位: Harbin University of Science & Technology,Harbin,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2755-2758

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）