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Reseach Article

Three-Phase Analysis of Power Quality Disturbances and Classification by Svm

Published on September 2015 by Shilpa R., Shruthi S. Prabhu, P.S. Puttaswamy
National Conference “Electronics, Signals, Communication and Optimization"
Foundation of Computer Science USA
NCESCO2015 - Number 4
September 2015
Authors: Shilpa R., Shruthi S. Prabhu, P.S. Puttaswamy
50208493-d8b0-4dd7-a59c-c25689632d04

Shilpa R., Shruthi S. Prabhu, P.S. Puttaswamy . Three-Phase Analysis of Power Quality Disturbances and Classification by Svm. National Conference “Electronics, Signals, Communication and Optimization". NCESCO2015, 4 (September 2015), 10-13.

@article{
author = { Shilpa R., Shruthi S. Prabhu, P.S. Puttaswamy },
title = { Three-Phase Analysis of Power Quality Disturbances and Classification by Svm },
journal = { National Conference “Electronics, Signals, Communication and Optimization" },
issue_date = { September 2015 },
volume = { NCESCO2015 },
number = { 4 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 10-13 },
numpages = 4,
url = { /proceedings/ncesco2015/number4/22315-5337/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference “Electronics, Signals, Communication and Optimization"
%A Shilpa R.
%A Shruthi S. Prabhu
%A P.S. Puttaswamy
%T Three-Phase Analysis of Power Quality Disturbances and Classification by Svm
%J National Conference “Electronics, Signals, Communication and Optimization"
%@ 0975-8887
%V NCESCO2015
%N 4
%P 10-13
%D 2015
%I International Journal of Computer Applications
Abstract

The ephemeral power quality distortions such as voltage swell, harmonics, transients, voltage sag are incrementing every day with the proliferation of number of solid state devices. The technical difficulties like mis-operation, heating are upshots of this and hence identification and classification of the noise become a needful work. The three-phase voltage distortions are decomposed by the Multivariate Empirical Mode algorithm, for identification of its features and Support vector machine is utilized as a classifier. The online real-time, three-phase obtainable data are also tested by the presented approach.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Empirical Mode Decomposition Multivariate Empirical Mode Decomposition Libsvm Octave 3. 8. 1 Support Vector Machine.