Wavelets and Entropy for Power Quality Assessment
| Autor: | Eduardo A. Cano-Plata, Armando J. Ustariz-Farfan, Jorge H. Estrada-Estrada |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
020209 energy Wavelet transform 010103 numerical & computational mathematics 02 engineering and technology General Medicine 01 natural sciences Multiscale entropy Wavelet 0202 electrical engineering electronic engineering information engineering Power quality 0101 mathematics Entropy (energy dispersal) Mathematics |
| Zdroj: | American Journal of Computational Mathematics. :276-290 |
| ISSN: | 2161-1211 2161-1203 |
| DOI: | 10.4236/ajcm.2017.73022 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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