Research on the Power System Fault Classification Based on HHT and SVM Using Wide-area Information

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Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
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"Research on the Power System Fault Classification Based on HHT and SVM Using Wide-area Information"
written by Yiran Guo, Changqing Li, Yali Li, Shibin Gao,
published by Energy and Power Engineering, Vol.5 No.4B, 2013

has been cited by the following article(s):

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[1]	Comparative Analysis of Fault Identification Methods for Distribution Networks Based on Waveforms Containing White Noise
	2023 2nd Asian …, 2023

[2]	Fault location of transmission line based on CNN-LSTM double-ended combined model
	Energy Reports, 2022

[3]	High-impedance fault detection in power distribution grid systems based on support vector machine approach
	Electrical Engineering, 2022

[4]	Combined morphology and SVM-based fault feature extraction technique fordetection and classification of transmission line faults
	Turkish Journal of Electrical Engineering …, 2020

[5]	Mathematical morphology-based feature-extraction technique for detection and classification of faults on power transmission line
	2020

[6]	Combined morphology and SVM-based fault feature extraction technique for detection and classification of transmission line faults
	2020

[7]	A Wavelet-Neural Network-Based Technique for Fault Diagnostics in Power System
	2020

[8]	Transmission Line Protection Scheme for Fault Detection, Classification and Location Using ANN
	2019

[9]	Multi-core SVM optimized visual word package model for garment style classification
	Cluster Computing, 2018

[10]	Classification of Distribution Network Faults Using Hilbert-Huang Transform and Artificial Neural Network
	Advanced Technologies, Systems, and Applications III, 2018

[11]	Health Management of a Typical Small Aircraft Fuel System Using an Adaptive Technique
	2018

[12]	Critical investigations on performance of ANN and wavelet fault classifiers
	Health Care For Women International, 2017

[13]	Indices to Study the Electrical Power Signals in Active and Passive Distribution Lines: A Combined Analysis with Empirical Mode Decomposition
	Energies, 2016

[14]	Prediction of Market Power Using SVM as Regressor Under Deregulated Electricity Market
	Proceedings of Fifth International Conference on Soft Computing for Problem Solving, 2016

[15]	Fault classification in power systems using EMD and SVM
	Ain Shams Engineering Journal, 2015

[16]	A Nonlinear and Non-Stationary Signal Analysis for Accurate Power Quality Monitoring in Smart Grids
	3rd Renewable Power Generation Conference (RPG 2014), 2014

[1]	Comparative Analysis of Fault Identification Methods for Distribution Networks Based on Waveforms Containing White Noise 2023 2nd Asian Conference on Frontiers of Power and Energy (ACFPE), 2023 DOI:10.1109/ACFPE59335.2023.10455193

[2]	Fault location of transmission line based on CNN-LSTM double-ended combined model Energy Reports, 2022 DOI:10.1016/j.egyr.2022.02.275

[3]	Fault location of transmission line based on CNN-LSTM double-ended combined model Energy Reports, 2022 DOI:10.1016/j.egyr.2022.02.275

[4]	High-impedance fault detection in power distribution grid systems based on support vector machine approach Electrical Engineering, 2022 DOI:10.1007/s00202-022-01544-1

[5]	Mathematical Morphology-Based Feature-Extraction Technique for Detection and Classification of Faults on Power Transmission Line IEEE Access, 2020 DOI:10.1109/ACCESS.2020.2975431

[6]	A Wavelet-Neural Network-Based Technique for Fault Diagnostics in Power System 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2020 DOI:10.1109/ISCMI51676.2020.9311601

[7]	Advanced Technologies, Systems, and Applications III Lecture Notes in Networks and Systems, 2019 DOI:10.1007/978-3-030-02574-8_10

[8]	Health Management of a Typical Small Aircraft Fuel System Using an Adaptive Technique 2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW), 2018 DOI:10.1109/HiPCW.2018.8634426

[9]	Multi-core SVM optimized visual word package model for garment style classification Cluster Computing, 2018 DOI:10.1007/s10586-017-1651-4

[10]	Critical investigations on performance of ANN and wavelet fault classifiers Cogent Engineering, 2017 DOI:10.1080/23311916.2017.1286730

[11]	Fault classification in power systems using EMD and SVM Ain Shams Engineering Journal, 2017 DOI:10.1016/j.asej.2015.08.005

[12]	Indices to Study the Electrical Power Signals in Active and Passive Distribution Lines: A Combined Analysis with Empirical Mode Decomposition Energies, 2016 DOI:10.3390/en9030211

[13]	Proceedings of Fifth International Conference on Soft Computing for Problem Solving Advances in Intelligent Systems and Computing, 2016 DOI:10.1007/978-981-10-0451-3_54

[14]	Indices to Study the Electrical Power Signals in Active and Passive Distribution Lines: A Combined Analysis with Empirical Mode Decomposition Energies, 2016 DOI:10.3390/en9030211

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