An Approach of Fault Diagnosis in Nonlinear Circuits

摘要：

Considering the problem of parametric fault diagnosis of nonlinear circuits, an approach based on the wavelet filtering technology and principal components analysis (PCA) is proposed. Firstly, the output signals filtered by DB2 wavelet packet are used to detect the faults. Then, the energetic values in eight subbands are calculated as the principal components. By comparison with the eigenvalues of the energetic relative matrices, different states of the faulty circuits are identified and the faults are located. This provides a novel way to realize fault diagnosis for nonlinear circuits.

作者: Yong Deng, Yibing Shi Longfu Zhou

作者单位: School of Automation Engineering, University of Electronic Science and Technology, Chengdu 610054, China

会议类型: 国际会议

会议名称: 2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)

会议地点: 成都

会议语种:英文

页码: 796-799

在线出版日期: 2010-06-28（万方平台首次上网日期，不代表论文的发表时间）