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ANOVA Based Feature Analysis and Selection in Power Quality Disturbances Identification
Applied mechanics and materials, 2015-09, Vol.793 (Electrical Power Engineering and Sustainable Development of Industry), p.510-515
2015
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Classification of Power Quality Disturbance Based on Continuous S-Transform-Windowing Technique (CST-WT) and ANOVA as a Feature Selection
Applied Mechanics and Materials, 2015-08, Vol.785 (Recent Trends in Power Engineering), p.368-372
2015
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Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM-CART Model
IEEE transaction on neural networks and learning systems, 2012-01, Vol.23 (1), p.97-108
2012
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A modified fuzzy min–max neural network for data clustering and its application to power quality monitoring
Applied soft computing, 2015-03, Vol.28, p.19-29
2015
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Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model
Applied soft computing, 2013-12, Vol.13 (12), p.4493-4507
2013
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Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree
IEEE transaction on neural networks and learning systems, 2016-12, Vol.27 (12), p.2760-2767
2016
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Review of Power Quality Disturbances Classification Using Variable Size Detector (V-Detector)
Digital Information Processing and Communications, p.193-198
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Application of the fuzzy min–max neural network to fault detection and diagnosis of induction motors
Neural computing & applications, 2013-12, Vol.23 (Suppl 1), p.191-200
2013
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Detection and diagnosis of broken rotor bars and eccentricity faults in induction motors using the Fuzzy Min-Max neural network
The 2013 International Joint Conference on Neural Networks (IJCNN), 2013, p.1-5
2013
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Electrical energy audit in a Malaysian university - a case study
2012 IEEE International Conference on Power and Energy (PECon), 2012, p.616-619
2012
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Detection and classification of electrical supply voltage quality to electrical motors using the Fuzzy-Min-Max neural network
2011 IEEE International Electric Machines & Drives Conference (IEMDC), 2011, p.961-965
2011
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Condition monitoring of electrical supply voltage quality to electrical machines using RBF neural network
2010 IEEE International Conference on Power and Energy, 2010, p.312-317
2010
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