{"title":"自适应奇异值分解对电力变压器局部放电降噪的局限性","authors":"H. Karami, G. Gharehpetian","doi":"10.1109/PSC49016.2019.9081523","DOIUrl":null,"url":null,"abstract":"De-noising of partial discharge (PD) is the most important task in PD detection and localization for power transformers and power cables. The performance of adaptive singular value decomposition (ASVD) method, as one of newly used de-noising method, has been shown in power cable PD denoising. However, this approach has some limitations which should be considered by users before applying it. This paper investigates limitations of ASVD method for PD de-noising, especially in power transformers.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Limitations of Partial Discharge De-noising of Power Transformer Using Adaptive Singular Value Decomposition\",\"authors\":\"H. Karami, G. Gharehpetian\",\"doi\":\"10.1109/PSC49016.2019.9081523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"De-noising of partial discharge (PD) is the most important task in PD detection and localization for power transformers and power cables. The performance of adaptive singular value decomposition (ASVD) method, as one of newly used de-noising method, has been shown in power cable PD denoising. However, this approach has some limitations which should be considered by users before applying it. This paper investigates limitations of ASVD method for PD de-noising, especially in power transformers.\",\"PeriodicalId\":359817,\"journal\":{\"name\":\"2019 International Power System Conference (PSC)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Power System Conference (PSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PSC49016.2019.9081523\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Power System Conference (PSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSC49016.2019.9081523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Limitations of Partial Discharge De-noising of Power Transformer Using Adaptive Singular Value Decomposition
De-noising of partial discharge (PD) is the most important task in PD detection and localization for power transformers and power cables. The performance of adaptive singular value decomposition (ASVD) method, as one of newly used de-noising method, has been shown in power cable PD denoising. However, this approach has some limitations which should be considered by users before applying it. This paper investigates limitations of ASVD method for PD de-noising, especially in power transformers.