Estimation of power quality indices using discrete wavelet transform

R. Sugi, D. Sundararajan
{"title":"Estimation of power quality indices using discrete wavelet transform","authors":"R. Sugi, D. Sundararajan","doi":"10.1109/ICACCS.2016.7586363","DOIUrl":null,"url":null,"abstract":"An estimation and analysis of power quality disturbances are essential for the maintenance of power quality of power systems. Since the power quality disturbances are mostly noisy and nonstationary, wavelet transform methods have gained significant importance in analyzing them recently. In a recent paper, the estimation of power quality indices using an empirical wavelet transform has been proposed. In this paper, further investigation of this approach is carried out and a comparison of the use of the empirical and discrete wavelet transform is presented.","PeriodicalId":176803,"journal":{"name":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCS.2016.7586363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

An estimation and analysis of power quality disturbances are essential for the maintenance of power quality of power systems. Since the power quality disturbances are mostly noisy and nonstationary, wavelet transform methods have gained significant importance in analyzing them recently. In a recent paper, the estimation of power quality indices using an empirical wavelet transform has been proposed. In this paper, further investigation of this approach is carried out and a comparison of the use of the empirical and discrete wavelet transform is presented.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用离散小波变换估计电能质量指标
电能质量扰动的估计和分析对电力系统的电能质量维护至关重要。由于电能质量扰动多为噪声扰动和非平稳扰动,小波变换方法在分析电能质量扰动方面具有重要意义。在最近的一篇论文中,提出了一种基于经验小波变换的电能质量指标估计方法。本文对该方法进行了进一步的研究,并对经验小波变换和离散小波变换的使用进行了比较。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Detection of selfish Nodes in MANET - a survey Robust Sybil attack detection mechanism for Social Networks - a survey A comparative study of DFT and Moving Window Averaging technique of current differential protection on Transmission line Online review analytics using word alignment model on Twitter data Hybrid cryptography mechanism for securing self-organized wireless networks
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1