D. Zheng, Chunxi Zhang, Xueyong Sun, Huawei Liu, Jia-xiang Yang
{"title":"同轴圆柱形电极上PD信号的小波变换降噪","authors":"D. Zheng, Chunxi Zhang, Xueyong Sun, Huawei Liu, Jia-xiang Yang","doi":"10.1109/ELINSL.2004.1380486","DOIUrl":null,"url":null,"abstract":"The paper presents the basic principle and method of dealing with PD (partial discharge) signals using wavelet transform. It is demonstrated that wavelet transform is a useful and effective tool for extracting PD pulse signals from noise. It makes more certain that failures caused by the PD which happens in the GIS, GIC and GIL, could be precisely measured, predicted and monitored.","PeriodicalId":342687,"journal":{"name":"Conference Record of the 2004 IEEE International Symposium on Electrical Insulation","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Wavelet transform denoise of PD signal on coaxial cylinder electrodes\",\"authors\":\"D. Zheng, Chunxi Zhang, Xueyong Sun, Huawei Liu, Jia-xiang Yang\",\"doi\":\"10.1109/ELINSL.2004.1380486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents the basic principle and method of dealing with PD (partial discharge) signals using wavelet transform. It is demonstrated that wavelet transform is a useful and effective tool for extracting PD pulse signals from noise. It makes more certain that failures caused by the PD which happens in the GIS, GIC and GIL, could be precisely measured, predicted and monitored.\",\"PeriodicalId\":342687,\"journal\":{\"name\":\"Conference Record of the 2004 IEEE International Symposium on Electrical Insulation\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the 2004 IEEE International Symposium on Electrical Insulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELINSL.2004.1380486\",\"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 2004 IEEE International Symposium on Electrical Insulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINSL.2004.1380486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavelet transform denoise of PD signal on coaxial cylinder electrodes
The paper presents the basic principle and method of dealing with PD (partial discharge) signals using wavelet transform. It is demonstrated that wavelet transform is a useful and effective tool for extracting PD pulse signals from noise. It makes more certain that failures caused by the PD which happens in the GIS, GIC and GIL, could be precisely measured, predicted and monitored.