Wavelets and Entropy for Power Quality Assessment

• 作者: Armando J. Ustariz-Farfán Eduardo Antonio Cano-Plata Jorge H. Estrada-Estrada
• 来源期刊: 美国计算数学期刊(英文)
• 学科: 数学
• 关键词: WAVELETS ENTROPY Reflexibility REGULARITY MULTIRESOLUTION Multiscale
• 年，卷（期）: 2017,（3）
• 页码范围: 276-290
• 页数: 15页
• 分类号: O1

摘要

In this paper, wavelet transform and entropy are evaluated using the mathematical analysis concepts of reflexibility, regularity and series obtention, these concepts remark the reason to make a selective reference framework for power quality applications. With 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 MpqAT.