Power quality disturbance waveform recognition using wavelet-based neural classifier. I. Theoretical foundation

By Surya Santoso, Edward J. Powers, W. Mack Grady, A. Parsons. 2000

352 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/fc7b7da3b0bc030b5e1e4e90c8c2a1db94a9c956

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1. Janusz A. Starzyk
2. Haibo He
3. Saroj Mishra
4. Weikuan Jia

Citations in the corpus

• A self-organizing learning array system for power quality classification based on wavelet transform (2006, background): “problems include Expert Systems (ES) [3], Fuzzy Logic (FL) [4]‐[7], Artificial Neural Networks (ANNs) [5], [ 8 ]‐[10] and Genetic Algorithms (GA’) [11].”