电子设计工程
電子設計工程
전자설계공정
ELECTRONIC DESIGN ENGINEERING
2012年
3期
4-6,9
,共4页
徐祥辉%加玛力汗·库马什
徐祥輝%加瑪力汗·庫馬什
서상휘%가마력한·고마십
电力电子%故障诊断%小波包%Elman神经网络
電力電子%故障診斷%小波包%Elman神經網絡
전력전자%고장진단%소파포%Elman신경망락
power electronic%fault diagnosis%wavelet packet%Elman neural network
由非线性电力电子装置组成的电路发生故障时,故障特征信息不易提取和识别。对此提出一种基于小波包分析和Elman神经网的电力电子装置故障诊断的方法,先运用小波包分析法提取电路在不同故障状态下电压及电流信号的特征信息,然后对数据进行归一化处理并作为Elman神经网的输入,由具有智能学习功能的神经元故障分类器完成故障识别和定位。以12脉冲整流电路为例,在Matlab软件下建立电路模型进行仿真实验,结果表明该方法能快速、准确的完成故障诊断。
由非線性電力電子裝置組成的電路髮生故障時,故障特徵信息不易提取和識彆。對此提齣一種基于小波包分析和Elman神經網的電力電子裝置故障診斷的方法,先運用小波包分析法提取電路在不同故障狀態下電壓及電流信號的特徵信息,然後對數據進行歸一化處理併作為Elman神經網的輸入,由具有智能學習功能的神經元故障分類器完成故障識彆和定位。以12脈遲整流電路為例,在Matlab軟件下建立電路模型進行倣真實驗,結果錶明該方法能快速、準確的完成故障診斷。
유비선성전력전자장치조성적전로발생고장시,고장특정신식불역제취화식별。대차제출일충기우소파포분석화Elman신경망적전력전자장치고장진단적방법,선운용소파포분석법제취전로재불동고장상태하전압급전류신호적특정신식,연후대수거진행귀일화처리병작위Elman신경망적수입,유구유지능학습공능적신경원고장분류기완성고장식별화정위。이12맥충정류전로위례,재Matlab연건하건립전로모형진행방진실험,결과표명해방법능쾌속、준학적완성고장진단。
It＇s hard to extract and identify effective fault feature,when the fault of circuit composed of nonlinear power electronic device happened.A method based on wavelet packet analyzing and Elman neural network was proposed to fault diagnose of power electronic device.Firstly,the signal feature of different states about voltage and current of power electronic device was extracted by using the wavelet packet analysis.Then it was normalized and being inputted the Elman neural network,the neural network classifier will identifying and diagnosing different faults.Taking the 12-pulse circuit of electronic power electronic rectifier device as an example,completed the circuit model under Matlab and put up emulation experiment.The result of emulation shows that the method can deal with the fault diagnosis rapidly and accurately.
