Application of GA and SVM based hybrid algorithm for the classification of power-quality disturbances
Journal Title: Science Paper Online - Year 2009, Vol 4, Issue 2
Abstract
For the classification of power quality disturbances, we present a GA and SVM based hybrid algorithm. Firstly, a wavelet transform technique is used for feature extraction. Then a genetic algorithm is proposed for feature selection. The support vector machine technique is used for classification of selected features. Numerical experiments validate the effectiveness of the proposed algorithm.
Authors and Affiliations
Liang SUN , Yanchun LIANG
Keywords
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- EP ID EP91448
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