{"title":"Modeling and Characterization of Transformers Internal Faults using Finite Elements and Discrete Wavelet Transforms","authors":"O. Mohammed, N. Abed","doi":"10.1109/CEFC-06.2006.1633182","DOIUrl":null,"url":null,"abstract":"This paper examines the behavior of single phase and three phase transformers with internal faults under sinusoidal and non-sinusoidal operating conditions. The terminal behavior of the transformer was investigated by coupling the finite element transformer's physical model and external electric circuit simulations. Such a model would allow the efficient representation of the transformers with internal faults. A discrete wavelet transforms (DWT) was then used to extract the different harmonic components of the transformer currents. The key advantages of the DWT are its ability to provide a local representation (in both time and frequency) of the current signal for normal and faulty modes, as well as its applicability to nonstationary signals","PeriodicalId":262549,"journal":{"name":"2006 12th Biennial IEEE Conference on Electromagnetic Field Computation","volume":"179 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 12th Biennial IEEE Conference on Electromagnetic Field Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEFC-06.2006.1633182","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
This paper examines the behavior of single phase and three phase transformers with internal faults under sinusoidal and non-sinusoidal operating conditions. The terminal behavior of the transformer was investigated by coupling the finite element transformer's physical model and external electric circuit simulations. Such a model would allow the efficient representation of the transformers with internal faults. A discrete wavelet transforms (DWT) was then used to extract the different harmonic components of the transformer currents. The key advantages of the DWT are its ability to provide a local representation (in both time and frequency) of the current signal for normal and faulty modes, as well as its applicability to nonstationary signals