A new optimal feature selection scheme for classification of power quality disturbances based on ant colony framework
Author:
Publisher
Elsevier BV
Subject
Software
Reference27 articles.
1. Detection and classification of power quality disturbances using double resolution s-transform and DAG-SVMs;Li;IEEE Trans. Instrum. Meas.,2016
2. Application of fractional fourier transform for classification of power quality disturbances;Singh;IET Sci. Meas. Tech.,2017
3. Optimal feature selection for power-quality disturbances classification;Lee;IEEE Trans. Power Deliv.,2011
4. Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm;Panigrahi;IET Gener. Transm. Distrib.,2009
5. A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network;Khokhar;Measurement,2017
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