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Application of wavelet Transform in power Quality: A Review

by Suresh K.Gawre, N.P.Patidar, R. K. Nema
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 18
Year of Publication: 2012
Authors: Suresh K.Gawre, N.P.Patidar, R. K. Nema
10.5120/5081-7307

Suresh K.Gawre, N.P.Patidar, R. K. Nema . Application of wavelet Transform in power Quality: A Review. International Journal of Computer Applications. 39, 18 ( February 2012), 30-36. DOI=10.5120/5081-7307

@article{ 10.5120/5081-7307,
author = { Suresh K.Gawre, N.P.Patidar, R. K. Nema },
title = { Application of wavelet Transform in power Quality: A Review },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 18 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number18/5081-7307/ },
doi = { 10.5120/5081-7307 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:48.127463+05:30
%A Suresh K.Gawre
%A N.P.Patidar
%A R. K. Nema
%T Application of wavelet Transform in power Quality: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 18
%P 30-36
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

From last decades the objective of Power quality (PQ) monitoring and analysis has drastically. Generally the power quality problem covers the time scales range from tens of nanoseconds to steady state to describe different events. Well discussed in various international standards (IEEE, IEC, EN etc) and also give various acceptability curves to quantify and classify different Power Quality phenomenon (CIBMA and ITC) according to amplitude and time frame. It is observed that different tools and methods are always been used to detect and classify the power Quality events. The whole advance tends to process the raw data and extract the information in order to make decision. And further move towards real time monitoring, protection and control. This paper presents a comprehensive review of different techniques based on wavelet transform to detect and classify power quality problems.

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Index Terms

Computer Science
Information Sciences

Keywords

Power quality wavelet transform De-noising multi-resolution adaptive filter A I Techniques

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