WNN Tolerance Fault Diagnosis for Analog Circuits Based on Wavelet Packet Transform Features

摘要：

　　For the sample construction of Wavelet Neural Network(WNN)fault diagnosis modeling for analog circuits,a feature extraction method based on Wavelet Packet Transform(WPT)is proposed.The simulation results on Sallen-Key band-pass filter show that,compared with Multi-Resolution Transform,WPT has better feature extraction ability for the tolerance faults of analog circuits,and can improve the convergence rate and diagnosis correct rate of WNN.

关键词： WNN Wavelet packet transform Analog circuit Fault diagnosis Feature extraction

作者: Haiqing Huang Shiyao Ren Nan Yang

作者单位: Xijing College,Xian,Shaanxi,710123,China Air Traffic Control and Navigation College,Air Force Engineering,University,Xian,Shaanxi,710051,Chi

会议类型: 国际会议

会议名称: 2018 7th International Conference on Advanced Materials and Computer Science (ICAMCS 2018) 2018第七届先进材料与计算机科学国际会议(ICAMCS 2018)

会议地点: 大连

会议语种:英文

页码: 260-264

在线出版日期: 2018-12-21（万方平台首次上网日期，不代表论文的发表时间）