现代电子技术Issue(6)：125-128,4.
基于多分辨分析和WNN的模拟电路故障诊断
Analog circuit fault diagnosis based on the multiresolution analysis and wavelet neural network
王辉 1彭良玉1
作者信息
- 1. 湖南师范大学 物理与信息科学学院，湖南 长沙 410081
- 折叠
摘要
Abstract
A method of analog circuit fault diagnosis based on the multiresolution analysis and wavelet neural network (WNN) is proposed. The novel method makes full use of advantages of time-frequency localization of multiresolution to extract the feature parameter values from the collected date. In combination with strong ability of nonlinear classification,learning, generalization,high accuracy and fast convergence of WNN,the normalization processing of the obtained input data is taken as the inputs of WNN to complete its training. Finally the training result is applied to the fault diagnosis of the filter circuit. The re-sult shows that the method can realize accurate localization of the fault module,and is a effective means for fault diagnosis of analog circuit.关键词
多分辨分析/小波神经网络/模拟电路故障诊断/数据采集Key words
multiresolution analysis/wavelet neural network/analog circuit fault diagnosis/date acquisition分类
信息技术与安全科学引用本文复制引用
王辉,彭良玉..基于多分辨分析和WNN的模拟电路故障诊断[J].现代电子技术,2014,(6):125-128,4.
