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由定子电流信号分析陀螺电机滚珠轴承故障诊断与分类（英文）.docx

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由定子电流信号分析陀螺电机滚珠轴承故障诊断与分类（英文） Introduction Gyromotorsarerotarysensorsusedinawiderangeofapplications,includingaerospace,automobile,androbotics.Theyconsistofaspinningrotorandasetofbearingsthatsupportitsmotion.Acommontypeofbearingusedingyromotorsistheballbearing,whichprovideslowfrictionandhighprecisionrotationalmotion.However,bearingfaultssuchascracks,wear,andmisalignmentscansignificantlyaffecttheperformanceofagyromotor.Inthispaper,weinvestigatetheuseofstatorcurrentsignalsforfaultdiagnosisandclassificationofgyromotorballbearings. Literaturereview Ballbearingsareoneofthemostcommontypesofbearingsinrotatingmachinery.Theyareusedtosupportfreemotionoftheinnerandouterringsofthebearingwithrespecttoeachother.Faultsinballbearingscanariseduetoavarietyoffactorsincludingcontamination,misalignment,wear,andfatigue.Themostcommonsymptomsofbearingfaultsareincreasesinvibrationandnoiselevels,decreasesinbearinglife,andreducedperformanceofthemotor. Numeroustechniqueshavebeendevelopedfordetectinganddiagnosingfaultsinbearings.Themajorityoftechniquesusevarioustypesofsignalanalysis,includingvibration,acoustic,andcurrentsignals.Inparticular,statorcurrentsignalsareincreasinglyusedforfaultdiagnosisofvarioustypesofmachines.Thesesignalscontaininformationaboutelectromagneticandmechanicalinteractionswithinthemotor,whichareaffectedbythebearingfault. Methodology Theproposedmethodologyforballbearingfaultdetectionandclassificationusingstatorcurrentsignalsconsistsofthefollowingsteps: 1.Acquisitionofstatorcurrentsignals:Thestatorcurrentsignalsareacquiredusingacurrenttransducer,whichisplacedonthesupplylineofthemotor.Thesignalsaresampledatahighfrequencytocapturethedetailedvariationsinthecurrentwaveform. 2.Pre-processingofsignals:Theacquiredstatorcurrentsignalsarepre-processedtoremovenoiseandartifactscausedbyothersourcessuchasvoltagetransients.Thisisachievedusingsignalprocessingtechniquessuchasfilteringandwaveletanalysis. 3.Featureextraction:Thepre-processedsignalsarethenanalyzedtoextractrelevantfeaturesthatare