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基于BP小波神经网络的模拟电路故障诊断
引用本文:金瑜,陈光福,刘红.基于BP小波神经网络的模拟电路故障诊断[J].测控技术,2007,26(7):64-66,69.
作者姓名:金瑜  陈光福  刘红
作者单位:电子科技大学,自动化工程学院CAT,研究室,四川,成都610054;电子科技大学,自动化工程学院CAT,研究室,四川,成都610054;电子科技大学,自动化工程学院CAT,研究室,四川,成都610054
摘    要:针对现有BP网络在模拟电路故障诊断中存在的问题,提出了一种基于BP小波神经网络的故障诊断方法.该法将小波函数与BP网络结合构成BP小波网络,这种网络具有小波变换的时频局域化性质和BP网络的自学习能力.分别用BP小波网络和传统BP网络对实例电路进行故障诊断,结果表明本方法是有效的,而且比传统BP网络方法的学习收敛速度快得多.

关 键 词:模拟电路  故障诊断  BP小波神经网络
文章编号:1000-8829(2007)07-0064-03
修稿时间:2006-07-12

Fault Diagnosis of Analog Circuit Based on BP Wavelet Neural Network
JIN Yu,CHEN Guang-ju,LIU Hong.Fault Diagnosis of Analog Circuit Based on BP Wavelet Neural Network[J].Measurement & Control Technology,2007,26(7):64-66,69.
Authors:JIN Yu  CHEN Guang-ju  LIU Hong
Affiliation:CAT Lab School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
Abstract:A new neural network which is BP wavelet neural network is proposed to used for the fault diagnosis of analog circuit instead of BP network,in order to improve the performance of fault diagnosis systems based on BP network.This network makes full use of the advantages of wavelet transform time-frequency localization and artificial neural network self-learning.An application on fault diagnosis of analog circuit illustrates that the new method is feasible and effective.The simulation results show that compared to BP neural network,BP wavelet neural network has faster convergence.
Keywords:analog circuit  fault diagnosis  BP wavelet neural network
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