基于经验模态分解与神经网络的在线状态监测.pdf

基于经验模态分解与神经网络的在线状态监测.pdf

ID:52211336

大小:201.39 KB

页数:4页

时间:2020-03-25

基于经验模态分解与神经网络的在线状态监测.pdf_第1页
基于经验模态分解与神经网络的在线状态监测.pdf_第2页
基于经验模态分解与神经网络的在线状态监测.pdf_第3页
基于经验模态分解与神经网络的在线状态监测.pdf_第4页
资源描述:

《基于经验模态分解与神经网络的在线状态监测.pdf》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库

1、机床与液压Dec.20l3HydromechatronicsEngineeringVoI.4lNo.24DOI:10.3969/j.issn.1001-388I.2013.24.010On-lineConditionMonitoringBasedonEmpiricalModeDecompositionandNeuralNetworkXIEFengyunSchoolofMechanicalandElectronicalEngineering,EastChinaJiaotongUniversity,Nanehang330013,ChinaAbstract:On-lineconditi

2、onmonitoringinmachiningprocessesplaysasignificantroletoimprovethemachiningstabilityandprecision.Inthispaper,anapproachbasedonempiricalmodede。composition(EMD)andneuralnetworkforon—lineconditionmonitoringisproposed.Therootmeansquare(RMS)ofintrinsicmodefunctions(IMFs)byEMDisregardedasmachiningpr

3、o‘cessingfeature.ThethreelayersBack—propagation(BP)neuralnetworkmodeltakingthema。chiningfeatureastargetinputofneuralnetwork,theIMFsascharacteristicparameter,andthe3typesofprocessingstatesasoutputareestablishedtoidentifytheprocessingstate.Theresultshowsthattheproposedmethodcaneffectivelyidenti

4、fythestateofofprocess.Keywords:empiricalmodedecomposition,neuralnetwork,conditionmonitoring,rootmeansquareOn—-lineconditionmonitoringinmachiningoper·-importantcontributionspresentedforconditionmonl—ationsisverycrucialinordertopreventtoolfailures,toring.f0rinstance.amethodofstaterecognitionsin

5、creasemachineutilizationanddecreaseproductionbasedonwaveletandhiddenMarkovmodelwaspres—costinanautomatedmanufacturingenvironment.On—entedbyXie[2];anapproachformonitoringthellnesystemdiagnosticsandprognosticscanbeper—cuttingtoolconditionbyself—organizingfeaturemapsformedbyusingtherealtimemonit

6、oringdata[1].(SOFM)waspresentedbyOwsley,etal[3];AnewHowever,theon—lineconditionmonitoringisnothybridtechniqueforcuttingtoolwearmonitoring,aneasytaskforsomereasons,forinstance,thema—whichfusesaphysicalprocessmodelwithanartificialchiningprocessesareusuallynon—linear,andtime—neuralnetworks(ANN)m

7、odelisproposedforturn—variantsystems.whichmakethemdimculttobeingbySick[4];Arealtimemonitoringmethodofmodeled;theacquiredsignalsfromsensorsarede—toolwearusingmultiplemodelingmethodwaspro—pendentonotherkindofmeasuringfactors,itisnotaposedbyErtu

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。