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基于盲源分离算法的局部放电信号处理研究.docx

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基于盲源分离算法的局部放电信号处理研究 ABSTRACT Partialdischarge(PD)isacriticalissueinhighvoltageelectricalequipment.ProperprocessingofPDsignalsisessentialforsuccessfuldiagnosisandmaintenanceofelectricalequipment.Blindsourceseparation(BSS)algorithmshavebeenwidelyadoptedforPDsignalprocessing.ThispaperpresentsacomprehensivereviewofBSSalgorithmsandtheirapplicationsinPDsignalprocessing.Thepaperalsoexploresfutureresearchopportunitiesinthisfield. Keywords:partialdischarge,blindsourceseparation,signalprocessing INTRODUCTION Highvoltageelectricalequipmentiswidelyusedinvariousindustries,includingpowergeneration,transportation,andmanufacturing.Partialdischarge(PD)isacommonandcriticalissueinhighvoltageelectricalequipment,whichcanleadtoinsulationfailureandequipmentbreakdown.Therefore,properdetectionanddiagnosisofPDsignalsareessentialforthesafeandreliableoperationofelectricalequipment. PDsignalsarecomplex,nonlinear,andnon-stationary.TraditionalsignalprocessingmethodshavelimitationsindealingwithPDsignals.Blindsourceseparation(BSS)algorithmshavebeenwidelyadoptedforPDsignalprocessinginrecentyears.BSSalgorithmsaimtoseparatethesourcesignalsfromtheobservedmixedsignalswithoutpriorknowledgeofthesourcesignalsorthemixingprocess.BSSalgorithmshavebeenproventobeeffectiveinseparatingPDsignalsfromnoiseandotherinterferingsignals. ThispaperpresentsacomprehensivereviewofBSSalgorithmsandtheirapplicationsinPDsignalprocessing.Thepaperisorganizedasfollows:Section2introducesthebasicconceptsofBSSalgorithms;Section3discussestheapplicationofBSSalgorithmsinPDsignalprocessing;Section4outlinesfutureresearchopportunitiesinthisfield;andSection5concludesthepaper. BASICCONCEPTSOFBSSALGORITHMS BSSalgorithmsaimtoextractindependentsourcesfromobservedmixedsignals.AssumewehaveMmixedsignals,eachofthemcanbeexpressedasalinearcombinationofNindependentsources: X=AS+N whereXisanM×Tmatrixofobservedsignals,AisanM×Nmatrixofmixingcoefficients,SisanN×Tmatrixofsourcesignals,andNisanM×Tmatrixofnoiseandotherinterferingsignals. ThegoalofBSSalgorithm