Efficient feature vector extraction for automatic classification of power quality disturbances

Efficient feature vector extraction for automatic classification of power quality disturbances

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A new feature vector extraction method is presented for the automatic classification of power quality disturbances, which utilises FFT, DWT (discrete wavelet transform), and Fisher's criterion. This approach leads to a considerable reduction in the computational burden associated with disturbance classification.


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