Best Wavelet Packet Power Measurement Based on Energy Threshold Entropy

W. Xuewei, Zhao Yong, Wang Lin
{"title":"Best Wavelet Packet Power Measurement Based on Energy Threshold Entropy","authors":"W. Xuewei, Zhao Yong, Wang Lin","doi":"10.1109/ICICTA.2011.100","DOIUrl":null,"url":null,"abstract":"Firstly, a sub-band energy threshold entropy was proposed as information measurement cost function. Then a novel best wavelet packet power measurement algorithm was proposed, which can decompose power signals into sub-bands adaptively according to the energy distribution, meanwhile, this algorithm can perform the decomposition of power energy in one wavelet packet process. The simulation using db40 wavelets shows that: the measurement relative errors of root mean square (RMS) and the active power are less than 6×10-5 in the total band, and the quoted errors of active power are less than 8.2×10-5 in the sub-bands.","PeriodicalId":368130,"journal":{"name":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2011.100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Firstly, a sub-band energy threshold entropy was proposed as information measurement cost function. Then a novel best wavelet packet power measurement algorithm was proposed, which can decompose power signals into sub-bands adaptively according to the energy distribution, meanwhile, this algorithm can perform the decomposition of power energy in one wavelet packet process. The simulation using db40 wavelets shows that: the measurement relative errors of root mean square (RMS) and the active power are less than 6×10-5 in the total band, and the quoted errors of active power are less than 8.2×10-5 in the sub-bands.
基于能量阈值熵的最佳小波包功率测量
首先,提出一个子带能量阈值熵作为信息度量代价函数;然后提出了一种新的最佳小波包功率测量算法,该算法可以根据功率信号的能量分布自适应地将功率信号分解成子带,同时该算法可以在一个小波包过程中完成功率能量的分解。db40小波仿真结果表明:在总频带内,测量均方根(RMS)和有功功率的相对误差小于6×10-5,在子频带内,测量有功功率的引用误差小于8.2×10-5。
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