Lingling Li, S. Huang, FengQiang Li, Hua Li, Huijuan Zhang
{"title":"The wavelets transformation fault line selection method based on rough sets signal enhancement","authors":"Lingling Li, S. Huang, FengQiang Li, Hua Li, Huijuan Zhang","doi":"10.1109/ICEPE-ST.2011.6123000","DOIUrl":null,"url":null,"abstract":"The wavelets transformation theory is a powerful way to process transient information in small current grounding system. But the limitation of sampling frequency may lead the information dropout of zero-sequence-current. Rough set has great abilities of knowledge discovery and data mining. It can enhance zero-sequence-current and overcome the boundedness of wavelets fault line selection method. The MATLAB simulation results proved through the preproceses by rough set, the accuracy of the wavelets fault line selection method was improved.","PeriodicalId":379448,"journal":{"name":"2011 1st International Conference on Electric Power Equipment - Switching Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 1st International Conference on Electric Power Equipment - Switching Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEPE-ST.2011.6123000","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
The wavelets transformation theory is a powerful way to process transient information in small current grounding system. But the limitation of sampling frequency may lead the information dropout of zero-sequence-current. Rough set has great abilities of knowledge discovery and data mining. It can enhance zero-sequence-current and overcome the boundedness of wavelets fault line selection method. The MATLAB simulation results proved through the preproceses by rough set, the accuracy of the wavelets fault line selection method was improved.