"Classification of Power Quality Disturbances Using Wavelet Packet Energy Entropy and LS-SVM"
written by Ming Zhang, Kaicheng Li, Yisheng Hu,
published by Energy and Power Engineering, Vol.2 No.3, 2010
has been cited by the following article(s):
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[1] A Method for Classification of Power Quality Disturbance Exploiting Higher Order Statistics in the EMD Domain
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[2] Application of Hilbert–Huang Transform and SVM Classifier to Monitor the Power Quality Disturbances
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[3] Performance Analysis of Interleaved Boost Converter Using Wavelet Transforms Technique
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[4] Wavelet Packet Transform Based Disturbance Detection in Renewable Energy Integrated Power System
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[5] COBEM-2017-1881 CONTROL OF A TENDON-DRIVEN ROBOTIC HAND FROM SURFACE ELECTROMYOGRAPHIC SIGNALS
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[6] A hybrid classifier for power quality (PQ) problems using wavelets packet transform (WPT) and artificial neural networks (ANN)
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[7] Wavelet Packet Transform Based Disturbance Detectionin Renewable Energy Integrated Power System
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[8] Impeller fault detection under fluctuating flow conditions using artificial neural networks
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[9] 應用經驗模態分析與 Online LS-SVR 於銅價之預測
成功大學資訊工程學系學位論文, 2014
[10] Enhanced Online LS-SVM Using EMD Algorithm for Prices Prediction of Building Materials
YH Yua, HC Chiena, PH Tingb, JY Jianga, PY Chena - iaarc.org, 2014
[11] Method for classification of power quality disturbances exploiting higher order statistics in the EMD domain
2013
[12] An approach for classification of power quality disturbances based on Hilbert Huang Transform and Relevance Vector Machine
Electrical & Computer Engineering (ICECE), 2012 7th International Conference on. IEEE, 2012., 2012
[13] Identification et caractérisation des perturbations affectant les réseaux électriques HTA.
2011