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基于信号共振稀疏分解的转子早期碰摩故障诊断方法.docx

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基于信号共振稀疏分解的转子早期碰摩故障诊断方法 Abstract Inthispaper,amethodforearlydetectionofrotorrubbingfaultsbasedonsignalresonancesparsedecompositionisproposed.Therotorrubbingfaultiscommoninrotatingmachinery,andthedetectionofearly-stagerubbingfaultsisofgreatsignificanceforavoidingseveredamageandensuringthestableoperationofthesystem.Thismethodusestheprincipleofsignalresonanceandthesparsityofthefaultfeaturetodecomposethevibrationsignaloftherotor.Finally,thedefectfeatureoftherubbingfaultisextractedtoachievetheearlydiagnosisofthefault.Theexperimentalresultsshowthattheproposedmethodhashighaccuracyandeffectivenessinthedetectionofrotorrubfault. Keywords:Resonance,SparseDecomposition,RotorRubbingFault,Diagnosis Introduction Rubbingfaultsareoneofthemostcommonfaultsinrotatingmachinery.Therubbingfaultreferstothephenomenonthattherotorandthestatorcollideduetomechanicalorelectricalinterference.Thiswillcausetherotortovibrate,andfurthercausethemachinetovibrate,andevendamagethesystem.Therubbingfaultusuallyoccursintheearlystage,andifitisnotdetectedandtreatedintime,itmaycauseseriousdamagetothesystem. Atpresent,therearemanymethodsforthediagnosisofrotorrubbingfaults.Traditionalmethods,suchastime-domainanalysis,frequency-domainanalysis,andwaveletanalysis,havebeenwidelyusedinthediagnosisofrotorrubfaults.However,thesemethodsoftenrequirepriorknowledgeofthefaultcharacteristics,andtheaccuracyofthediagnosisisnothigh.Inrecentyears,withthedevelopmentofsignalprocessingtechnology,sparsedecompositionandresonanceanalysishavebeenwidelyusedinthefieldoffaultdiagnosis.Combiningthesetwomethods,weproposeamethodforearlydetectionofrotorrubbingfaultsbasedonsignalresonancesparsedecomposition. Methodology Thebasicideaoftheproposedmethodistousetheprincipleofsignalresonanceandthesparsityofthefaultfeaturetodecomposethevibrationsignaloftherotor.Afterthesignalisdecomposed,thedefectfeaturecausedbytherubbingfaultisextractedtoachievetheearlydiagnosisofthefault.Thespecificprocessisasfollows: Step1:Dataacquisition Thevibrationsignalofther