{"title":"Dielectric frequency response measurement as a tool for troubleshooting insulation power factor problems","authors":"M. Perkins, A. Fazlagic, G. Frimpong","doi":"10.1109/ELINSL.2002.995903","DOIUrl":null,"url":null,"abstract":"This paper presents a new method of evaluating the dielectric frequency response (DFR) test for troubleshooting and identifying the cause of high or unusual insulation power factor test results. The method involves preparing a dielectric frequency response signature (DFRS) from the DFR test on a transformer. The signature of the measured response is then compared with a modeled response of a transformer with a \"normal\" insulation structure and a library of signatures of known defects. Based on this comparison, it is possible to diagnose power factor defects in the insulation structure of the transformer under test.","PeriodicalId":10532,"journal":{"name":"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)","volume":"14 1","pages":"162-165"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","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.2002.995903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents a new method of evaluating the dielectric frequency response (DFR) test for troubleshooting and identifying the cause of high or unusual insulation power factor test results. The method involves preparing a dielectric frequency response signature (DFRS) from the DFR test on a transformer. The signature of the measured response is then compared with a modeled response of a transformer with a "normal" insulation structure and a library of signatures of known defects. Based on this comparison, it is possible to diagnose power factor defects in the insulation structure of the transformer under test.