最小二乘支持向量机在电梯故障诊断中的应用

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1、机床与液压Jun．2012HydromechatronicsEngineeringVo1．40No．12DOI：i0．3969／j．issn．1001-3881．2012．12．008ResearchonDiagnosisMethodofElevatorFaultBasedonLS．SVMZHENGJianjun，CHENZhijun，DUKefeng．ElectricalEngineeringCollege，XinjiangUniversity，Urumqi880047，China；2．CenterforControlTheoryan

2、dGuidanceTechnology，HarbinInstituteofTechnology，Harbin150001，ChinaAbstract：Aimedatthepuzzleofbeingdificulttoextractthefaultfeaturesandlessinfaultdatasample，thepaperproposedasodofdiagnosismethodofelevatorfaultbasedonleastsquaresuppo~vectormachine(LS-SVM)．Bymeansofwaveletp

3、acketanalysisandLS—SVM，itfirstlyextractedtheelevatorfaultdatasamplesbywaveletpacketanalysis．andthenidentifiedtheelav-alorfaultbasedontheircharacteristicsbyuseofLS—SVM．ThetestdataofactuaIexperimentdemonstrstedthatithasbeRerperformanceindiagnosisforjerkfaultbytheproposedme

4、thod．Theresearchresultshowsthatitisexcellentindiagnosisperformance．Keywords：faultdiagnosis，featureextracting，leastsquaresuppo~vectormachine(LS-SVM)，waveletpacket，elevatorElevatorhasbeenproposedstrictrequirementsthethirdstage，thenewtheoriesandmethods，suchforqualityandsafe

5、tyintherunningprocessbecauseaswaveletanalysis，geneticalgorithm，fuzzytheory，0fitscomplicatedstructureandrequirementofhighneuralnetwork，fault—tolerantcontrol，patternrecog—reliability．Itnotonlyaffectstheridecomfortofele-nitionandartificialintelligence，areemergedtopro—vatorb

6、utalsohasanimpactonthereliabilityandvidenewmethodsandideassoastosolvetheprob—safetywhentheelevatorfaultoccurs．Accordingtolemoffaultdiagnosisofcomplexsystem．Faultdiag-thestatisticdataofrunningelevatorswithinrecent5nosistechnologyisdevelopedrapidly．Thepatternofto10years，an

7、elevatorhadcaused36．5timesme—diagnosis，whichtakesmodelingandinformationpro-chanicalandelectricalfaults，33timeshoistingorcessingaskeytools，isbasedonknowledgeapplica—clampedpemonperyear[1]．tion，knowledgeprocessingandknowledgeinference．Elevatorfaultdiagnosistechnologyhasbee

8、nde—Thischangehasgivenbirthtoanewsubjectbranch-velopedinthreestages．Thefirststagebelongstothediagnosisr