American Journal of Computational Mathematics

Volume 7, Issue 3 (September 2017)

ISSN Print: 2161-1203   ISSN Online: 2161-1211

Google-based Impact Factor: 1.05  Citations  

Wavelets and Entropy for Power Quality Assessment

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DOI: 10.4236/ajcm.2017.73022    916 Downloads   1,662 Views  Citations

ABSTRACT

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.

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Cano-Plata, E. , Ustariz-Farfán, A. and Estrada-Estrada, J. (2017) Wavelets and Entropy for Power Quality Assessment. American Journal of Computational Mathematics, 7, 276-290. doi: 10.4236/ajcm.2017.73022.

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