Gajanan C. Jaiswal, P. A. Venikar, M. Ballal, H. Suryawanshi, D. Tutakne
{"title":"Smart transformers for industrial applications","authors":"Gajanan C. Jaiswal, P. A. Venikar, M. Ballal, H. Suryawanshi, D. Tutakne","doi":"10.1109/ITEC-INDIA.2017.8333713","DOIUrl":null,"url":null,"abstract":"In heavy industries, power curtailment due to any reason is never tolerable. Transformers are critical component in the supply of power. This paper presents a smart online condition monitoring system for industrial applications of power/distribution transformer monitoring and condition analysis. The health index (HI) of transformer is calculated based on weightage associated with healthy sensor input optimized by genetic algorithm (GA). The experimentation is performed on 15 kVA, 400/400 volts transformer. Health indices are computed by conventional numerical method and GA method. Latter offers improved weighing approach than the former. Therefore, proposed system offers development of a smart distribution transformer.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Transportation Electrification Conference (ITEC-India)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEC-INDIA.2017.8333713","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
In heavy industries, power curtailment due to any reason is never tolerable. Transformers are critical component in the supply of power. This paper presents a smart online condition monitoring system for industrial applications of power/distribution transformer monitoring and condition analysis. The health index (HI) of transformer is calculated based on weightage associated with healthy sensor input optimized by genetic algorithm (GA). The experimentation is performed on 15 kVA, 400/400 volts transformer. Health indices are computed by conventional numerical method and GA method. Latter offers improved weighing approach than the former. Therefore, proposed system offers development of a smart distribution transformer.
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