時頻分析在軸承故障診斷中的應用研究.pdf

1、安徽大學碩士學位論文時頻分析在軸承故障診斷中的應用研究姓名：盧一相申請學位級別：碩士專業(yè)：檢測技術與自動化裝置指導教師：高清維20070401壘里!!墜gABSTRACTThetraditionalsignalanalysismethodshavegreatadvantageswhenmeydealwiththestationarysignals，buttheyarehelplessatthepresenceofthenonstatio

2、narystochasticsignalsAlthoughagreatmanyofmethodsinmodemsignalprocessingcouldprocessthenonstationarystochasticsignalseffectivelytheyalsocouldnotavoidthedefectsofseparationbetweentimeandfrequencydomainsAsabranchofthemodems

3、ignalprocessing，TF(time—frequency)analysisisveryimportant，itcombinesthetimedomainandthefrequencydomainSignalispresentedintermsofjointTFD，overcomingtheshortcomingswhicharctookplacebyprocessingsignalonlyintimeorfrequencydo

4、main，andthecharacteristicswhicharedifficultlyobtainedintimeor矗equencydomainareclearlypresentedinTFplaneApparentlyTFanalysisisanidealsignalprOCessingmethod，Thevibratingsignaloftheroilingbearingwhichisaffectedbyvariousimpa

5、ctswhenitisrollingiscomplicatedandnonstationarySoitissuitableforanalysiswith“ITmethodsInthisthesis，thebearingisstudied，andthevibrationsignalisanalysedunderthethreemodesofnormal，singlepointfaultininnerringandballTFcharact

6、eristicsofthefaultsignalareextractedbythe“ITanalysismethodssothefaultdiagnosisisrealizedInthisthesis，wethoroughlystudythetheoryof砭andemphasizeresearchoftheconflictbetweencrossterminterferenceandTFresolutionofthequadratic

7、TFDsimultaneouslyTherefore，themainproblemtobediscussedishowtorestrainthecrossterminterferenceandkeephi曲“IFresolutionsimultaneouslyThemainworkisasfollows：(1)SeveraltypicalTFDsandtheirpropertiesarestudied，andthedisadvantag

8、eswhichresultedfromtheinherentnatureoftheirkenelfunctionsarepointedouLthenthedevelopedalgnrithmisfurtherstudied(2)Adaptivechirplettransformandit’sfastalgorithmisstudiedinordertofurthersolvetheaforementionedproblems，andth