{"title":"分形在PD信号识别中的应用","authors":"Zhongyuan Zhao, Y. Qiu, E. Kuffel","doi":"10.1109/ELINSL.2002.995988","DOIUrl":null,"url":null,"abstract":"A fractal random model namely the fractional Brownian motion (FBM) is established to describe a single PD pulse. The fractal dimension ruler variable (FDRV) and fractal dimension (FD), as two features derived through the least-square fitting, are introduced to extract characteristics from the single PD pulse. Analysis of experimental results indicates that the fractal dimension ruler variable has a higher sensitivity compared with fractal dimension, and therefore can he used as an important practical feature to recognize PD signals.","PeriodicalId":10532,"journal":{"name":"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)","volume":"53 1","pages":"523-526"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Application of fractals to PD signal recognition\",\"authors\":\"Zhongyuan Zhao, Y. Qiu, E. Kuffel\",\"doi\":\"10.1109/ELINSL.2002.995988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fractal random model namely the fractional Brownian motion (FBM) is established to describe a single PD pulse. The fractal dimension ruler variable (FDRV) and fractal dimension (FD), as two features derived through the least-square fitting, are introduced to extract characteristics from the single PD pulse. Analysis of experimental results indicates that the fractal dimension ruler variable has a higher sensitivity compared with fractal dimension, and therefore can he used as an important practical feature to recognize PD signals.\",\"PeriodicalId\":10532,\"journal\":{\"name\":\"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)\",\"volume\":\"53 1\",\"pages\":\"523-526\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELINSL.2002.995988\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINSL.2002.995988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fractal random model namely the fractional Brownian motion (FBM) is established to describe a single PD pulse. The fractal dimension ruler variable (FDRV) and fractal dimension (FD), as two features derived through the least-square fitting, are introduced to extract characteristics from the single PD pulse. Analysis of experimental results indicates that the fractal dimension ruler variable has a higher sensitivity compared with fractal dimension, and therefore can he used as an important practical feature to recognize PD signals.
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