B. Alemayehu, Akash Kota, Amy T. Neidhard-Doll, V. Chodavarapu, G. Subramanyam
{"title":"Utility Transformer Health Monitoring using a Single Chip Impedance Analyzer","authors":"B. Alemayehu, Akash Kota, Amy T. Neidhard-Doll, V. Chodavarapu, G. Subramanyam","doi":"10.1109/NAECON46414.2019.9058239","DOIUrl":null,"url":null,"abstract":"Dissolved gas analysis and oil sample analysis have been established as effective ways of determining the transformer oil health. In this paper, we present a new approach to diagnose the oil condition towards utility transformer health monitoring based on using the AD5933 single chip impedance analyzer from Analog Devices. We propose an integrated smart infrastructure monitoring with the results from the impedance analyzer transmitted, logged, and processed via a cloud computing interface. The transformer oils are characterized and monitored by analyzing their impedance values over a range of frequencies from 1 kHz to 100 kHz.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON46414.2019.9058239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Dissolved gas analysis and oil sample analysis have been established as effective ways of determining the transformer oil health. In this paper, we present a new approach to diagnose the oil condition towards utility transformer health monitoring based on using the AD5933 single chip impedance analyzer from Analog Devices. We propose an integrated smart infrastructure monitoring with the results from the impedance analyzer transmitted, logged, and processed via a cloud computing interface. The transformer oils are characterized and monitored by analyzing their impedance values over a range of frequencies from 1 kHz to 100 kHz.