摘要
动态电源电流测试(IDDT)对模拟电路故障诊断非常有效。针对小波神经网络在模拟电路IDDT故障诊断中存在的缺陷,提出了一种基于多小波变换的模拟电路IDDT故障诊断方法。即利用多小波变换提取电源电流各频段的能量,作为神经网络的输入特征向量进行故障诊断。仿真结果表明,该方法是有效的,而且比小波神经网络方法的收敛速率快。
Dynamic supply current test is very useful for fault diagnosis in analog circuits.In order to improve the defect of wavelet neural network in fault diagnosis in analog circuits Ioor ,a method of fault diagnosis in analog circuits IDDT based on multiwavelet neural network is proposed.Multiwavelet transform is used to extract each frequency＇s energy of current of power supply.Then the energy is used as input vector of neural network for fault diagnosis.Simulation results indicate that this method is effective,multiwavelet neural network converges more rapidly than wavelet neural network.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第23期239-241,共3页
Computer Engineering and Applications
基金
广东省自然科学基金No.31445~~
关键词
模拟电路
多小波变换
多小波神经网络
故障诊断
analog circuits
multiwavelet transform
multiwavelet neural network
fault diagnosis
