{"title":"Applying study on principle and method PD pattern recognition with fractal to profile of PD distribution","authors":"Xin Li, Caixin Sun, Jun Yu Li, R. Liao, Quan Zhou","doi":"10.1109/ISEIM.2001.973583","DOIUrl":null,"url":null,"abstract":"This paper adopts two kinds of fractal analysis to profile partial discharge (PD) distribution. The analysis results show that fractal dimension can be effectively used as a new feature in PD pattern recognition.","PeriodicalId":71964,"journal":{"name":"装备机械","volume":"38 1","pages":"127-129"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"装备机械","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/ISEIM.2001.973583","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 adopts two kinds of fractal analysis to profile partial discharge (PD) distribution. The analysis results show that fractal dimension can be effectively used as a new feature in PD pattern recognition.