A self-organizing learning array system for power quality classification based on wavelet transform

By Haibo He, Janusz A. Starzyk. IEEE Transactions on Power Delivery, 2006

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Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network (2008, methodology): “[3] has presented the classification of seven types of PQ disturbances by using a self organizing learning array system (based on wavelet transform) considering 11 features (energy at 11 decomposition levels).”
Feature dimensionality reduction: a review (2022, methodology): “Zhang demonstrated the feature extraction method based on WT from four aspects: WT-based modulus maxima feature, energy feature based onwavelet decomposition, entropy feature based on wavelet packet decomposition, and feature extraction method based on adaptive wavelet network, and use it for featur”