Efficient feature vector extraction for automaticclassification of power quality disturbances

Abstract

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.