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rolling bearing feature extraction based on hht and fault diagnosis based on decision tree

rolling bearing feature extraction based on hht and fault diagnosis based on decision tree

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时间：2018-04-24

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1、研究生课程考核试卷（适用于课程论文、提交报告）科目：SystemsEngineering教师：xx姓名：xx学号：201207xxxxx专业：机械电子工程类别：学术上课时间：2013年3月至2013年5月考生成绩：卷面成绩平时成绩课程综合成绩阅卷评语：阅卷教师(签名)重庆大学研究生院制RollingBearingFeatureExtractionBasedonHHTandFaultDiagnosisBasedonDecisionTreeAbstract:Thelifeofthebearingsisalwaysunpredictable,therefore,itisv

2、eryessentialtoexaminethefaultierdiagnosisandmonitorthedevicetokeepitsafelyrunning.Theprocessoffaultierdiagnosisincludesacquisitionofsignal,featureextraction,failuremodeidentificationetc.FaultierdiagnosisismainlybasedonMechanicalSignalProcessing,SensorTechnologyetc.Inthisregardtheroller

3、bearing6205andnormalbearingwasstudded;themainfailuremodewastheinnerringfailure,theouterringfailureandrollingelementfailure.Featureextractionisthemostimportantstepinfaultierdiagnosis,thefeaturecanbeaccurateandsensitivetorecordthebearingstatus.Basedontherelevantliterature,inthispaper,the

4、featureisappliedbyHHTbothintimedomainandfrequencydomain:ThebearingvibrationsignalisresolvedbyHHTintoHilbertspectrumandpartialHilbertspectrum,thefeatureofthefaultierdiagnosiswastheextracted.Toinvestigatethealgorithminthemulti-faultierdiagnosisproblem,wecanchoosetheperformanceofthemulti-

5、classsupportvectormachineanddecisiontree.Inthispaper,wechoosethealgorithmdecisiontree.ThisalgorithmwastocombinetheHHTanddecisiontreemethod.TheoperationwastofiltertheoriginalsignalusingEMD,theintrinsicmodefunctionswasoperatedinnoiseautocorrelationmethod;themainfrequencyofthefeaturewasex

6、tractedformingtheC4.5decisiontreeofthesamplefeaturesaccordingly,inordertoreducethecomplexityofthealgorithm,wereducetocalculatetheattributionandextractthefeatureinpredictingprocess,theoperationthenodeattributeinformationofthedecisiontreeisfeedbackofthealgorithmisapplied.Therecognizabler

7、ateofthisalgorithmisupto96%.Keywords:rollingbearing;Hilbert-Huangtransform;decisiontree1.IntroductionMechanicalfaultdiagnosis,fromthesystempointofview,isakindofsciencethatusesavarietyofdetectionandidentificationtheorytoidentifymechanicalequipmentrunningstate.Canbetracedbacktothe1960s

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