{"title":"基于DSP的局部放电小波分析表征","authors":"X. Ma, C. Zhou, I. Kemp","doi":"10.1109/DEIV.2000.879104","DOIUrl":null,"url":null,"abstract":"This paper reports the results of an investigation of an intelligent DSP-based PD analyzer using wavelet analysis for partial discharge characterisation. The basic theory of wavelet transform is firstly introduced followed by an analysis of the possible applications of the wavelet transform in partial discharge analysis. The practical implementation of such a novel DSP analyzer is then proposed. The advantages of the proposed approach are discussed.","PeriodicalId":429452,"journal":{"name":"Proceedings ISDEIV. 19th International Symposium on Discharges and Electrical Insulation in Vacuum (Cat. No.00CH37041)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"DSP based partial discharge characterisation by wavelet analysis\",\"authors\":\"X. Ma, C. Zhou, I. Kemp\",\"doi\":\"10.1109/DEIV.2000.879104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports the results of an investigation of an intelligent DSP-based PD analyzer using wavelet analysis for partial discharge characterisation. The basic theory of wavelet transform is firstly introduced followed by an analysis of the possible applications of the wavelet transform in partial discharge analysis. The practical implementation of such a novel DSP analyzer is then proposed. The advantages of the proposed approach are discussed.\",\"PeriodicalId\":429452,\"journal\":{\"name\":\"Proceedings ISDEIV. 19th International Symposium on Discharges and Electrical Insulation in Vacuum (Cat. No.00CH37041)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings ISDEIV. 19th International Symposium on Discharges and Electrical Insulation in Vacuum (Cat. No.00CH37041)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEIV.2000.879104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings ISDEIV. 19th International Symposium on Discharges and Electrical Insulation in Vacuum (Cat. No.00CH37041)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEIV.2000.879104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DSP based partial discharge characterisation by wavelet analysis
This paper reports the results of an investigation of an intelligent DSP-based PD analyzer using wavelet analysis for partial discharge characterisation. The basic theory of wavelet transform is firstly introduced followed by an analysis of the possible applications of the wavelet transform in partial discharge analysis. The practical implementation of such a novel DSP analyzer is then proposed. The advantages of the proposed approach are discussed.
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