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基于人工神经网络的电力电子电路故障诊断
引用本文:梁中华,田茂芹,任敏,胡庆.基于人工神经网络的电力电子电路故障诊断[J].沈阳工业大学学报,2004,26(2):140-142.
作者姓名:梁中华  田茂芹  任敏  胡庆
作者单位:沈阳工业大学,电气工程学院,辽宁,沈阳,110023
摘    要:提出了采用基于波形直接分析的人工神经网络故障诊断方法实现电力电子电路的故障诊断.以三相整流电路的诊断为例,设计了人工神经网络的层数和点数,建立了三相整流电路的模型获取了样本数据,并训练了人工神经网络.仿真表明用四层人工神经网络对三相整流电路进行诊断可获得正确结果、

关 键 词:电力电子电路  人工神经网络  故障诊断
文章编号:1000-1646(2004)02-0140-03
修稿时间:2002年11月18

Fault diagnosis of power electronic circuits based on artificial neural network
LIANG Zhong-hua,TIAN Mao-qin,REN Min,HU Qing.Fault diagnosis of power electronic circuits based on artificial neural network[J].Journal of Shenyang University of Technology,2004,26(2):140-142.
Authors:LIANG Zhong-hua  TIAN Mao-qin  REN Min  HU Qing
Abstract:Based on artificial neural network theory, a new fault diagnosis method for power electronic circuits is presented. A neural BP network is founded, which is able to diagnosis faults of three-phase rectifier effectively. Number of laysers and nodes of the neural BP network is designed. The sample data is acquired by setting up the model of three-phase rectifier circuits, and the artificaial neural network is trained.The simulation results show that the method of the neural BP network with four layers diagnosing three-phase rectifier circuits is correct.
Keywords:power electronic circuit  artificial neural network  fault diagnosis
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