机车定置试验轴承检测诊断系统

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1、北京交通大学硕士学位论文ABSTRACTABSTRACTAccordingtoChineseRailwayStandard,tractionloadtestmustbeperformedondepot—repairedlocomotivebeforeentryintoservice．nerollingelementbearingisoneofthemostimportantunitsinlocomotive,andbearingfailurewouldprobablybringgreatsufferingtoradlwaytransportationands

2、afety．Therefore，anovelbearingconditionmonitoringandfaultdiagnosissystemforlocomotivestationarytestisdeveloped．Usingtheon-linetemperatureandvibrationsignal，theworkingconditionofbearingsintherunninggearofthelocomotiveisexamined．111econtributionsandconclusionsaremade髂follows：Thebearin

3、gfaultsareofthepropertiesofvarietyanduncertainty．111eincipientfaultofbearingsonlyresultsinthecharacteristicchangeoftheirvibrationsignal．Whenthefaultsdevelop，theleveloftheirvibrationwillincrease．Asseriousfaultsemerge,thetemperaturewillrise．Inviewofthissituation,thecompoundsensorisin

4、troducedintobeatingfaultdiagnosis．Anefficientfaulttestingprocedurethatconsiderstheon·linetemperatureandvibrationsignalisdeveloped．Thehigherorderspectraareintroducedintosignalanalysisofbeatings．Thisenablesthenon—stationaryandnon-Gaussiansignalstobethoroughlyanalyzed．Furthermore,the1

5、2-dimensionspectnunisemployedtoexactthequadraticphasecouplecausedbyinitialfaultsofbearings．1nlel÷-dimensionspcc觚mcansuppressGaussiannoiseeffectively,buttheeffectisnotobviousonnon-Gaussiannoise．ThereforeanoVelsignalanalysisprocedureispresented．111ewavelettransformisemployedtoreducen

6、oiseand12-dimensionspectrumisusedtoextractthefeaturesthancanrecognizebearingcondition．Experimentsaremadetoveilfythetheoryandresults．Basedontheinvestigationsmentionedabove，anintelligentdiagnosticsystemisdeveloped．nesystemissuccessfulappliedtothebearingsoftherunninggearofalocomotive．

7、叻eeffectivenessofproposedsystemisverifiedbystationarytl嚣t．KEYWORDS：locomotive；bearing；stationarytest；faultdiagnosis；higherorderspectra；l-dimensionspectrum；wavelettransformCLAsSNO：U260．331THl33．33学位论文版权使用授权书本学位论文作者完全了解北京交通大学有关保留、使用学位论文的规定。特授权北京交通大学可以将学位论文的全部或部分内容编入有关数据库进行检索，并采用影印、缩印

8、或扫描等复制手段保存、汇编以供查阅和借阅。同意学校向