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基于小波神经网络的容差模拟电路故障诊断方法
引用本文:余永辉,张兢,邓泽霞,王伟.基于小波神经网络的容差模拟电路故障诊断方法[J].重庆工学院学报,2009,23(4):117-120.
作者姓名:余永辉  张兢  邓泽霞  王伟
作者单位:重庆理工大学电子信息与自动化学院;重庆三峡水利电力(集团)股份有限公司;
基金项目:重庆市教委科技基金资助项目(KJ070619)
摘    要:以模拟电路的故障诊断为例,利用小波分析,将电路故障信号进行层次分解,获得不同频段的信号成分,取其能反映故障信号特征的成分作为电路故障特征,再输入给神经网络,大大减少了神经网络的输入数目、简化了神经网络的结构、减少了它的训练时间,并提高了辨识故障类别的能力.

关 键 词:小波神经网络  模拟电路  故障诊断  改进BP算法  

Diagnosis Method for Tolerance Analog Circuit Fault Based on Wavelet Neural Network
YU Yong-hui,ZHANG Jing,DENG Ze-xia,WANG Wei.Diagnosis Method for Tolerance Analog Circuit Fault Based on Wavelet Neural Network[J].Journal of Chongqing Institute of Technology,2009,23(4):117-120.
Authors:YU Yong-hui  ZHANG Jing  DENG Ze-xia  WANG Wei
Affiliation:1.School of Electronic Information and Automation;Chongqing University of Technology;Chongqing 400050;China;2.Chongqing Three Gorges Water Conservancy and Electric Power Co.LTD;Chongqing 400400;China
Abstract:Wavelet neural network(WNN)combines the time-frequency location and multiple-scale analysis of wavelet transform and the self-organization and learning ability of the neural network,which is very suitable for fault diagnosis.In this paper,the fault diagnosis method for analog circuit based on WNN is introduced.Wavelet Transform is used to decompose fault signal in levels and acquire signal component in various frequency segment,using the ingredient that could reflect the fault signal character as circuits f...
Keywords:wavelet neural network  analog circuit  fault diagnosis  modified BP algorithm  
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