基于信息融合技術(shù)的變頻電源籠型感應電動機故障診斷.pdf

1、武漢科技大學碩士學位論文基于信息融合技術(shù)的變頻電源籠型感應電動機故障診斷姓名：羅銘申請學位級別：碩士專業(yè)：控制理論與控制工程指導教師：劉振興20080524第1I頁武漢科技大學碩士學位論文AbstractItiswellknownthatsquirrelcageinductionmotors(SCIM)arewidelyusedinmodemindustry111eelectricequipments’faultdiagnosistec

2、hnologyandSCIM’SfaulttheorieshavebeendevelopeddecadesToimprovethedynamicperformanceandadaptmotorstothefrequentstartupandstop，moreoverthespeedadjustmentadvisablyintherealtimestatus，thevariablefrequencypowerservingmotorsis

3、SOprevalentthatitmaybetheabsolutelynecessarysubsystemofdrivesystemButitmakesmoreproblemsinmotorsfaultdiagnosisInthispaperbasedontherecentdevelopmentoftheoriesandpracticesonbrokenrotorbarsfaultdiagnosisofSCIM，themechanism

4、offaultisanalyzedparticularlyAmathematicssimulationmodelingofSCIMsuppliedwithvariablefrequencypowerisintroduced，whichrespectivelyinnormalconditionandinbrokenrotorbarsconditions，groundedontheprinciplesofmultiloopmodelandp

5、arameterssinusoidalpulsewidthmodulationTheinverterpowerharmonicsinmotor’Sstatorcurrentsandinstantaneouspowerspectrumaffectthefaultdiagnosisspeciallywhichmakesthedifferencebetweenthevariablefrequencypowerandsingleindustri

6、alfrequencypowerClassicalcurrentspectrumsignatureanalysisapproachdeducesthedatainformationfusiondiagnosis：theextendedPark’svectorapproachandthemeaninstantaneouspowerapproachTherelevantsimulationexperimentresultsalegivenT

7、houghtheintegralsynthesisandcompare，themeaninstantaneouspowerapproachisbetterthantheextendedPark’SvectorapproachonbrokenrotorbarsdiagnosisofSCIMfedwithvariablefrequencypowerWaveletanalysis‘isintroducedinthefurtheranalysi

8、softhefeaturesextractionoffaultsignalspectrumBecausetheconventionalFouriertransformandshorttimeFouriertransformaregoodatstationarysignalprocessing，butwavelettransformhasthebetteranalysisabilityintimefrequencydomainandsub

9、divisionabilityinlocalspectrum，whichmakesitbetterthanFouriertransformandmoresuitableforanalyzingthemotor’SspectrumfulloffrequencycomponentsAtthesametime，Morlet’Scomplexwaveletisusedtoextractfeaturesinstartupcurrentspectr