文章基本信息

标题：Wavelets and Entropy for Power Quality Assessment
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作者：Eduardo Antonio Cano-Plata ; Armando J. Ustariz-Farfán ; Jorge H. Estrada-Estrada 等
期刊名称：American Journal of Computational Mathematics
印刷版ISSN：2161-1203
电子版ISSN：2161-1211
出版年度：2017
卷号：07
期号：03
页码：276-290
DOI：10.4236/ajcm.2017.73022
语种：English
出版社：Scientific Research Publishing
摘要：In this paper, wavelet transform and entropy are evaluated using the mathematical analysis concepts of reflexibility, regularity and series obtention, th e s e concept s remark the reason to make a selective reference framework for power quality applications. W ith this idea the paper used the same treatment for the two algorithms (Multiresolution and Multiscale Entropy). The wavelet is denoted to have the most power full consistence to the light off the reflexibility, regularity and series obtention. The paper proposes a power quality technique namely M _pq AT.
关键词：Wavelets;Entropy;Reflexibility;Regularity;Multiresolution;Multiscale