{"title":"用独立分量分析法检测变压器内部故障","authors":"E. Kılıç, O. Ozgonenel","doi":"10.1109/SIU.2007.4298776","DOIUrl":null,"url":null,"abstract":"In this work it is aimed to detect transformer internal fault and magnetizing inrush currents by using independent component analysis (ICA). A laboratory transformer is used for real-time experiments to examine the suggested technique. Laboratory experiments cover turn to turn faults performed in primary and secondary windings and inrush conditions. Differential (Id) and restraint (Ir) currents are analyzed by ICA and MATLABtrade is used for required calculations. Transformer internal faults can be detected effectively with the proposed method.","PeriodicalId":315147,"journal":{"name":"2007 IEEE 15th Signal Processing and Communications Applications","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of Transformer Internal Faults by Using Independent Component Analysis\",\"authors\":\"E. Kılıç, O. Ozgonenel\",\"doi\":\"10.1109/SIU.2007.4298776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work it is aimed to detect transformer internal fault and magnetizing inrush currents by using independent component analysis (ICA). A laboratory transformer is used for real-time experiments to examine the suggested technique. Laboratory experiments cover turn to turn faults performed in primary and secondary windings and inrush conditions. Differential (Id) and restraint (Ir) currents are analyzed by ICA and MATLABtrade is used for required calculations. Transformer internal faults can be detected effectively with the proposed method.\",\"PeriodicalId\":315147,\"journal\":{\"name\":\"2007 IEEE 15th Signal Processing and Communications Applications\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE 15th Signal Processing and Communications Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2007.4298776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 15th Signal Processing and Communications Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2007.4298776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of Transformer Internal Faults by Using Independent Component Analysis
In this work it is aimed to detect transformer internal fault and magnetizing inrush currents by using independent component analysis (ICA). A laboratory transformer is used for real-time experiments to examine the suggested technique. Laboratory experiments cover turn to turn faults performed in primary and secondary windings and inrush conditions. Differential (Id) and restraint (Ir) currents are analyzed by ICA and MATLABtrade is used for required calculations. Transformer internal faults can be detected effectively with the proposed method.