{"title":"Transformer Incipient Fault Monitoring Using DGA","authors":"Atul A. Barhate, D. P. J. Shah, Dr. Manoj E. Pati","doi":"10.46335/ijies.2023.8.8.7","DOIUrl":null,"url":null,"abstract":"– Dissolved gas analysis (DGA) is most reliable and trustful tool for monitoring the health status of transformer. Using DGA can monitoring the status of concentration level of various combustible gaseous in transformer oil? The concentration of combustible gaseous use as determining the status of transformer oil to diagnose the incipient fault or indicator of undesirable event inside the transformer transformer has may be suffer from incipient fault such as partial discharge, electrical arcing, overheating, hot spot. Here neural network is used to diagnose the status of transformer to reduce human error as well as time. Here DGA data is get from various substation and analyses it and reach to conclusion that which type of fault to be occur in transformer and can save the transformer.","PeriodicalId":286065,"journal":{"name":"International Journal of Innovations in Engineering and Science","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Innovations in Engineering and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46335/ijies.2023.8.8.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
– Dissolved gas analysis (DGA) is most reliable and trustful tool for monitoring the health status of transformer. Using DGA can monitoring the status of concentration level of various combustible gaseous in transformer oil? The concentration of combustible gaseous use as determining the status of transformer oil to diagnose the incipient fault or indicator of undesirable event inside the transformer transformer has may be suffer from incipient fault such as partial discharge, electrical arcing, overheating, hot spot. Here neural network is used to diagnose the status of transformer to reduce human error as well as time. Here DGA data is get from various substation and analyses it and reach to conclusion that which type of fault to be occur in transformer and can save the transformer.