基于小波包和支持向量机的机车轴承故障诊断研究

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1、基于粒子群最小二乘支持向量机的故障诊断算法研究AbstractRailwaylocomotivebearingisakeycomponentoftransportationequipment，Asalongtime，withthehigh-loadoperation，thelocomotivebearingispronetoinjury．LotsofRailwaylocomotivebearingfaultsbelongstotheexistenceoroccurrenceoffailures，thence，thequalityofbearingrunni

2、nglocomotivesuperiorperformanceoftheentireplay．In．viewofthelocomotivebearingthespecialstatus，therefore，cartingoutOntherailwaylocomotivebearingfaultdiagnosishavegoodpracticalsignificance．硒ethesiswasmainlybasedOilwaveletpacketanalysisandsignalpcocessingsupportvectormachinebasedintel

3、ligentfaultdiagnosisresearchintwoareas．Themaincontentsareasfollows：Discussionandanalysisofthelocomotivebearingthevibrationcharacteristicsofvibrationsignalsandthemechanismof．failure,simulatedbearingfaultsignalsofdifferentcomponentsonthebasisofmasteringthefaultsignalcharacteristics，

4、whichcanprovidethemethodandbasisvectorsoflocomotivebearingfaultdiagnosis．Traditionalsignalprocessingmethodisonlysuitableforstationary，non-time-varyingsignalprocessing,anddoesnothavethecapabil／tyoflocalsignalanalysis，usingtheadvantagesofwaveletpacketanalysisinmutationdetectionandsi

5、gnaldenoisingtOdecomposewaveletpacketforfaultsignal，SOthatthecharacteristicsoffaultsignalsofdifferentfrequencyinformationcanbediscovered．Inordertoanalyzetheamountofbearingonwhetherthepo硫ofviewthavefaultornotwhiletakingthecomplexityofcomputationintobandsoffaultcharacteristicsaccoun

6、t,selectingobviously,whichcombined稍ththeideaoffrequencybandenergyanalysistoachievethefeaturevectorextractionofsimulatedfaultsignal’Sspecificband011bearing’outerring,innerringandtherolling．Usingleastsquare,ssupportvectormachinesforfaultdiagnosistrainingsamplesdonotneedalotoftrouble

7、，whichalsohasaclassificationabm【yinthecaseofhighdimension,goodhowever,thesupportvectormachineparameters(penaltyfactorandtheradialbasisfunction)modelassociationhaveagreaterimpactOilthediagnosticclassificationrate,witllthedeepstudyofparticleswal'malgorithmandalargenumberofsimulation

8、experiments，inordertoimprovethecl