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