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1、2011InternationalConferenceonComputerApplicationsandIndustrialElectronics(ICCAIE2011)Inter-turnstatorwindingfaultdetectioninPMSMusingmagnitudeofreactivepowerMehranTaghipour-GorjiKolaie,SeyyedmohammadRazavi,MohammadAliShamsi-NejadandAliDarziFacultyofElec
2、tricalandComputerEngineeringUniversityofBirjandBirjand,IranAbstract—ElectricalmachinesareoneofthemainequipmentsintransformtoextractrequiredknowledgeandthenusesANNtoindustry.PermanentMagnetSynchronousMotors(PMSM)isadetectfaultinpowertransformer'swinding.
3、Waveletmethodusefulelectricalmachineinindustry,especiallyhighpowerisalsoproposedtorevealinter-turnfaultintransformerin[7],densityofsuchmotorsisoneoftheirimportantadvantagesinaswell.Inadditiontoallanalyticalandintelligentmentionedcomparisonwithotherkindo
4、felectricalmachines.Differentmethods,ingeneral,someanalyticalmethods,suchas;Motorkindsoffaultsareunavoidableinsuchmotors,sameasotherCurrentSignatureAnalysis(MSA)orExtendedPark'sVectorelectricalequipments.Amongexpectedfaults,electricalfaultandespeciallyi
5、nter-turnstatorwindingfaultisaharmfulfaults,inAnalysis(EPVA)whichusesignalprocessingalgorithms(like;PMSMandotherelectricalmotors.Sofar,differentmethodsandFFT,STFT,Waveletandetcetera)arepresentedtodetectthispatternshavebeenpresentedtodetectthisfault,inli
6、terature.kindoffaultinPMSM[8].ChoosingproperandeffectivepatternscanleadtobetterItisworthnotingthatallmentionedmethodsareverygoodillustrationofmotor'sbehaviorunderfaultcondition.andmayworkproperly,butallofthemusecommonpatternsInthispaper,magnitudeofreact
7、ivepowerhasbeenintroducedintransientconditionstudy(suchas;currentandvoltage)andtodetectinter-turnfaultinstator'swindings.ObtainedresultstheytrytoextractproperfeaturesfromthembycomplicatedshowthatintroducedpatterncanshowbehaviorofPMSMundermethodsinsomeca
8、ses.Itismentionablethatifgoodpatternisinter-turnfault,perfectlyandcanbeanexcellentchoiceforusedinsuchstudy,needtocomplicateandcomputationaldetectingsuchfaults.burdenmethodswillberemoved.AccordingtoallavailableKeywords-Featureextr
