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Efficient feature vector extraction for automatic classification of power quality disturbances

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2 Author(s)
Lee, C.H. ; Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea ; Nam, S.W.

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

Published in:

Electronics Letters  (Volume:34 ,  Issue: 11 )