HVDC system fault identification using S-transform approach

P. Srikanth, A. Chandel, K. A. Naik
{"title":"HVDC system fault identification using S-transform approach","authors":"P. Srikanth, A. Chandel, K. A. Naik","doi":"10.1109/ICPCES.2010.5698683","DOIUrl":null,"url":null,"abstract":"In the present paper HVDC fault analysis using Stockwell Transforms is carried out. Stockwell Transform is utilized for the real time prediction of the disturbance as it accurately determines the sudden changes in the signal. The method uses the scalable Gaussian window which dilates and translates the time varying function and hence the prediction is very accurate. The presented technique has been tested on various types of HVDC faults to show the efficacy of the proposed technique.","PeriodicalId":439893,"journal":{"name":"2010 International Conference on Power, Control and Embedded Systems","volume":"204 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Power, Control and Embedded Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPCES.2010.5698683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In the present paper HVDC fault analysis using Stockwell Transforms is carried out. Stockwell Transform is utilized for the real time prediction of the disturbance as it accurately determines the sudden changes in the signal. The method uses the scalable Gaussian window which dilates and translates the time varying function and hence the prediction is very accurate. The presented technique has been tested on various types of HVDC faults to show the efficacy of the proposed technique.
基于s变换方法的高压直流系统故障识别
本文采用斯托克韦尔变换对高压直流输电系统进行了故障分析。利用斯托克韦尔变换对干扰进行实时预测,可以准确地判断信号的突变。该方法利用可扩展的高斯窗口对时变函数进行扩展和平移,因此预测非常准确。在不同类型的高压直流故障中进行了试验,验证了该方法的有效性。
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:604180095
Book学术官方微信