Wavelet-based denoising for PD online measurement of transformers

Jian Li, Youyuan Wang, L. Du, Zhuorui Jin, Yang Yang
{"title":"Wavelet-based denoising for PD online measurement of transformers","authors":"Jian Li, Youyuan Wang, L. Du, Zhuorui Jin, Yang Yang","doi":"10.1109/ELINSL.2004.1380446","DOIUrl":null,"url":null,"abstract":"The method based on thresholding and shrinking empirical wavelet coefficients is introduced in this paper for denoising PD signals. Because the wavelet-based denoising can not give a satisfied results while PD pulse amplitude is the same as or less than that of discrete spectral interferences (DSI), the wavelet combined with 2nd order lattice infinite impulse response (IIR) notch filter is proposed to enhance the signal-to-noise ratio (SNR) of signal detected by PD online measurement system of transformers. We present the results from simulations and real data examples.","PeriodicalId":342687,"journal":{"name":"Conference Record of the 2004 IEEE International Symposium on Electrical Insulation","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","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.2004.1380446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The method based on thresholding and shrinking empirical wavelet coefficients is introduced in this paper for denoising PD signals. Because the wavelet-based denoising can not give a satisfied results while PD pulse amplitude is the same as or less than that of discrete spectral interferences (DSI), the wavelet combined with 2nd order lattice infinite impulse response (IIR) notch filter is proposed to enhance the signal-to-noise ratio (SNR) of signal detected by PD online measurement system of transformers. We present the results from simulations and real data examples.
基于小波去噪的变压器局部放电在线测量方法
本文介绍了基于阈值化和经验小波系数收缩的PD信号去噪方法。针对局部放电脉冲幅值等于或小于离散谱干扰(DSI)时小波去噪效果不理想的问题,提出了将小波与二阶点阵无限脉冲响应(IIR)陷波滤波器相结合的方法来提高变压器局部放电在线测量系统检测信号的信噪比。给出了仿真结果和实际数据实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信