{"title":"Diagnosis of Interturn Short-Circuit Fault in PMSM by Residual Voltage Analysis","authors":"Hojin Lee, Hyeyun Jeong, S. W. Kim","doi":"10.1109/SPEEDAM.2018.8445207","DOIUrl":null,"url":null,"abstract":"This paper proposes a method that is based on a model to diagnose interturn short-circuit fault (ISCF) in a permanent magnet synchronous machine (PMSM). The fault diagnosis is accomplished with residual voltage components (RV Cs) that represent the difference between the measured stator voltages and the estimated stator voltages. The fault indicators based on RVCs are proposed to estimate the fault severity; these can distinguish the severity of the ISCF and can also detect the phase where the ISCF occurred. Simulation results from a finite element analysis tool validate the proposed method diagnoses the ISCF in different fault cases. This method can be used for early diagnosis of ISCFs in PMSMs.","PeriodicalId":117883,"journal":{"name":"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPEEDAM.2018.8445207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper proposes a method that is based on a model to diagnose interturn short-circuit fault (ISCF) in a permanent magnet synchronous machine (PMSM). The fault diagnosis is accomplished with residual voltage components (RV Cs) that represent the difference between the measured stator voltages and the estimated stator voltages. The fault indicators based on RVCs are proposed to estimate the fault severity; these can distinguish the severity of the ISCF and can also detect the phase where the ISCF occurred. Simulation results from a finite element analysis tool validate the proposed method diagnoses the ISCF in different fault cases. This method can be used for early diagnosis of ISCFs in PMSMs.