Jun Zhang, Guangning Wu, J. Sheng, Lijun Zhou, L. Tong
{"title":"An online condition assessment and diagnosis system for traction transformers based on dissolved hydrogen analysis","authors":"Jun Zhang, Guangning Wu, J. Sheng, Lijun Zhou, L. Tong","doi":"10.1109/ELINSL.2004.1380471","DOIUrl":null,"url":null,"abstract":"Dissolved gas analysis (DGA) has long been recognized as the best method for the detection and identification of incipient faults in power transformers. This work presents an online condition assessment and diagnosis system for traction transformers, based on dissolved hydrogen analysis (DHA), that can provide fault diagnosis and real-time fault alarming for traction transformers.","PeriodicalId":342687,"journal":{"name":"Conference Record of the 2004 IEEE International Symposium on Electrical Insulation","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the 2004 IEEE International Symposium on Electrical Insulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINSL.2004.1380471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Dissolved gas analysis (DGA) has long been recognized as the best method for the detection and identification of incipient faults in power transformers. This work presents an online condition assessment and diagnosis system for traction transformers, based on dissolved hydrogen analysis (DHA), that can provide fault diagnosis and real-time fault alarming for traction transformers.