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时间:2020-03-25
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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
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