{"title":"Comparison of PDA and EMI diagnostic measurements [for machine insulation]","authors":"J. Timperley","doi":"10.1109/ELINSL.2002.996004","DOIUrl":null,"url":null,"abstract":"There are two methods available for the online monitoring of mica-based insulation associated with high-voltage machines. Partial discharge analysis, PDA, is a time domain technique that measures and classifies electrical impulses that often occur at stator defects. Electromagnetic interference analysis, EMI, is a frequency domain technique that captures and classifies most of the high frequency electrical spectrum. This can include stator related defects as well as nonmachine related information. This paper presents a laboratory comparison of data collected by these two methods during the electrical aging of an 18 kV generator stator bar. These two techniques were found to produce similar results.","PeriodicalId":10532,"journal":{"name":"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)","volume":"2015 1","pages":"575-578"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINSL.2002.996004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
There are two methods available for the online monitoring of mica-based insulation associated with high-voltage machines. Partial discharge analysis, PDA, is a time domain technique that measures and classifies electrical impulses that often occur at stator defects. Electromagnetic interference analysis, EMI, is a frequency domain technique that captures and classifies most of the high frequency electrical spectrum. This can include stator related defects as well as nonmachine related information. This paper presents a laboratory comparison of data collected by these two methods during the electrical aging of an 18 kV generator stator bar. These two techniques were found to produce similar results.