Identification of optimal features for fast and accurate classification of power quality disturbances
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference20 articles.
1. A self-organizing learning array system for power quality classification based on wavelet transform;He;IEEE Trans. Power Deliv.,2006
2. Automatic classification of power quality events and disturbances using wavelet transform and support vector machines;Erişti;IET Gener. Trans. Distrib.,2012
3. Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks;Masoum;IET Sci. Meas. Technol.,2010
4. Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm;Panigrahi;IET Gener. Trans. Distrib.,2009
5. Wavelet-based neural network for power disturbance recognition and classification;Gaing;IEEE Trans. Power Deliv.,2004
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