M. SuganyaBharathi, M. Iruthayarajan, S. Shunmugam, L. Kalaivani
{"title":"Interpretation of dissolved gas analysis in transformer oil using fuzzy logic system","authors":"M. SuganyaBharathi, M. Iruthayarajan, S. Shunmugam, L. Kalaivani","doi":"10.1109/ICPEC.2013.6527659","DOIUrl":null,"url":null,"abstract":"Dissolved Gas Analysis (DGA) is used to determine the faults occurred in transformer oil by analyzing the gas evolved from it. This paper has presented the application of Fuzzy Logic system for dissolved gas analysis. DGA results were carried out and the possibility of improving the diagnosis with the aid of Fuzzy Logic system has been brought out. The results show that higher value of accuracy for predicted cases when compared to others. By combining various DGA techniques and interpreting classical DGA with Fuzzy Logic system approach, we have increased the predictability of the tool with the reduced time and maneuver.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Power, Energy and Control (ICPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEC.2013.6527659","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
Dissolved Gas Analysis (DGA) is used to determine the faults occurred in transformer oil by analyzing the gas evolved from it. This paper has presented the application of Fuzzy Logic system for dissolved gas analysis. DGA results were carried out and the possibility of improving the diagnosis with the aid of Fuzzy Logic system has been brought out. The results show that higher value of accuracy for predicted cases when compared to others. By combining various DGA techniques and interpreting classical DGA with Fuzzy Logic system approach, we have increased the predictability of the tool with the reduced time and maneuver.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
