Description: The authors present an automatic classification of different power quality (PQ) disturbances using
wavelet packet transform (WPT) and fuzzy k-nearest neighbour (FkNN) based classifier. The training data
samples are generated using parametric models of the PQ disturbances. The features are extracted using
some of the statistical measures on the WPT coefficients of the disturbance signal when decomposed upto
the fourth level. These features are given to the fuzzy k-NN for effective classification.
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