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International Journal of

Recent Trends in Engineering

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International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1, Number 3, May 2009

Issue on Electrical & Electronics

Page(s): 290-293

Wavelet - Support Vector Machine Approach for classification of Power Quality Disturbances

M.Karthikeyan, V.Malathi

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Abstract

This paper presents a wavelet transform and Support Vector Machine (SVM) based algorithm for classification of power quality (PQ) disturbances. The features extracted through the wavelet transform are trained by a SVM for classification of power quality disturbances. Five types of disturbances are considered for the classification problem. The simulation results reveal that the combination of wavelet transform and SVM can effectively classify different PQ events.

Index Terms

Power Quality disturbances, support vector machine, wavelet transform

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