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UHF1,1,2,2,1(1.,102206;2.,350007):,,500kV,3,,,PRPD,,:;;;;;:TM835:A:100326520(2009)0521026206:(ZH100790543);(IRT0515)ProjectSupportedbyBeijingEducationCommitteeCo2operationProjects(ZH100790543),CheungKongScholarsandInnovativeTeamDevelopmentProgram(IRT0515).PulseInterferencesEliminationandClassificationofOn2lineUHFPDSignalsTANGZhi2guo1,WANGCai2xiong1,CHENJin2xiang2,WUWen2xuan2,LICheng2rong1(1.BeijingKeyLaboratoryofHighVoltage&EMC,NorthChinaElectricPowerUniversity,Beijing102206,China;2.FujianElectricPowerResearchInstitute,Fuzhou350007,China)Abstract:Inordertoeliminatepulsetypeinterferencesignalsintransformerpartialdischargesignals,aninside2out2sidesignalantithesismethodandinter2phaseantithesismethodwereproposedtoexcludeexternalpulsetypeinterfer2ences,andwereusedtoon2lineUHFPDmonitoringsystemofa500kVthree2phasesplittypepowertransformer.Thecharacteristicparametersincludingpulseinitialphase,averagepulseamplitude,maximumpulseamplitude,pulsenumberfromtheUHFenvelopedsignalinpowerfrequencyperiodwereextracted.Dataafterinterferencee2liminatedwereclassifiedwithfuzzyclusteringandgrayclusteringmethod,andotherinterferencesignalswereelimi2nated.TheclassifiedPDsignalswerestatisticallyanalyzedwithPRPDandthediagnosisassessmentonPDactivitieswasmade.Theanalysisshowsthattheproposedmethodiseffectiveforinterferencesignaleliminationandpartialdischargefaultinformationextraction.Keywords:partialdischarge;UHF;envelopedsignal;interferenceelimination;fuzzyclassification;greyclassifica2tion0,[127],,:,,,,,620135520095HighVoltageEngineeringVol.35No.5May2009,(DGA),[8216](UHF),,,,[17,18],,,,UHF,,,11.1,UHF,,,,;,;,,,1,;2,;3,,1.2,,,1Fig.1EnvelopedUHFPDsignalsfrominnersensors2Fig.2Envelopedexternalinterferencesfromnoisesensor3Fig.3EnvelopedUHFPDsignalsfrominnersensorsandnoisesensor,,3,454AB,5BC720120095355,,22.1[19,20](),,,,c,c,,,,1)J={1,2,,a}J,a2)X={x1,x2,,xn}n,xn,,U,Uuik[0,1]UU=u11u12u1au21u22u2aun1un2una3)fpi(i=1,2,,c)ic,2cn,Jm[21]Jm=ni=1ck=1(uik)m(dik)2,m;dikxk(xkX)ipi(dik)2=xk-piuikpi:4ABFig.4InterferencesignalsreceivedbyAphaseandBphasesensorsatthesametime5BCFig.5InterferencesignalsreceivedbyBphaseandCphasesensorsatthesametimeuik=1cj=1(dikdjk)2m-1;(1)pi=1nk=1(uik)mnk=1(uik)mxk(2)c,,(1)(2),f4)ikxki,ik=aj=1fjk(uik)jk,jk=cjkaj=1cjk;cjkxkf5)ii=1,2,,ci={i1,i2,,ic},3ic=max(i1,i2,,ic)=ic,8201May2009HighVoltageEngineeringVol.35No.5xkc2.220ms,,,,,,,,3A6,,UHF,,[0,1],(6),1,,,1:,N(Pi)iPi,N(Pi)cr=1N(Pr)1000,,c;r6AFig.6ClassificationresultsofsignalsfromphaseAofthetransformer7AFig.7DischargemodechartofphaseA1ATab.1ActualclassificationresultsofsignalsfromphaseAofthetransformer/mV/()/15743162448902.538513014100280153701516350170273603301,661,,,792012009535565,,,,83(PRPD)PRPDPRPD,A,PRPD99:A90270,450mVA,,A4a),b),c)PDPR,,[1].[M].:,1995.YANZhang.Onlinedetectiontechnologyofelectricalinsulation[M].Beijing:ChinaElectricalPowerPress,1995.[2]McDermidW,GrantDH,GlodjoA,etal.Analysisofcon2vertertransformerfailuresandapplicationofperiodicon2linepartialdischargemeasurements[C]ConfonElectricalInsula28Fig.8Extractedinterferencesignalafterclustering9APRPDFig.9PRPDchartofphaseAtion.Cincinnati,USA:[s.n.],2001:5772582.[3]OkuboH,HayakawaN,MatsushitaA.Therelationshipbe2tweenpartialdischargecurrentpulsewaveformsandphysicalmechanisms[J].IEEEElectrInsulMag,2002,18(3):38245.[4]JuddMD,ClearyGP,BennochCJ.ApplyingUHFpartialdis2chargedetectiontopowertransformers[J].IEEEPowerEngRev,2002,22(8):57259.[5]ClearyGP,JuddMD.UHFandcurrentpulsemeasurementsofpartialdischargeactivityinmineraloil[J].IEEProc-SciMeasTechnol,2006,153(2):47254.[6]JuddMD,McArthurSDJ,McDonaldJR,etal.Intelligentconditionmonitoringandassetmanagement:partialdischargemonitoringforpowertransformers[J].IEEPowerEngineeringJournal,2002,16(6):2972304.[7]StrachanSM,McArthurSDJ,JuddMD,etal.Incrementalknowledge2basedpartialdischargediagnosisinoil2filledpowertransformers[C]IntelligentSystemsApplicationtoPowerSystems.WashingtonDC,USA:[s.n.],2005:1812186.[8]HuangYC.Conditionassessmentofpowertransformersusinggenetic2basedneuralnetworks[J].IEEProc-SciMeasTechn2ol,2003,150(1):19224.[9],,,.[J].,2004,250301May2009HighVoltageEngineeringVol.35No.5(5):5872589.LIJian,SUNCai2xin,LIAORui2jin,etal.Studyonanalysismethodaboutfaultdiagnosisoftransformeranddegreeofgreyinidencebasedonfuzzyclustering[J].ChineseJournalofScien2tificInstrument,2004,25(5):5872589.[10],,,.[J].,2001,21(10):1062109.ZHENGHai2ping,SUNCai2xin,LIJian,etal.Amodelandmethodofdegreeofgreyincidenceanalysisontransformersfaultdiagnosis[J].ProceedingsoftheCSEE,2001,21(10):1062109.[11],,.ISODATA[J].,1999,25(1):123.ZHANGGuan2jun,QIANZheng,YANZhang.ApplicationoffuzzyISODATAmethodforinsulationdiagnosisofpowertransformers[J].HighVoltageEngineering,1999,25(1):123.[12]BorishH,GockenbachE,WenzelD.Separationofpartialdis2chargefrompulse2shapednoisesignalswiththehelpofneuralnetworks[J].IEEEPro-SciMeasTechnol,1995,142(1):69274.[13]MazrouaAA.DiscriminationbetweenPDpulseshapesusingdifferentneuralnetworkparadigms[J].IEEETransonDielec2tricsandElectricalInsulation,1994,1(6):111921131.[14]KranzHG.Diagnosisof