Fault Classification and Localization in Power Systems Using Fault Signatures and Principal Components Analysis

Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org

Citations

"Fault Classification and Localization in Power Systems Using Fault Signatures and Principal Components Analysis"
written by Qais H. Alsafasfeh, Ikhlas Abdel-Qader, Ahmad M. Harb,
published by Energy and Power Engineering, Vol.4 No.6, 2012

has been cited by the following article(s):

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[4]	Fault detection in a distribution network using a combination of a discrete wavelet transform and a neural Network’s radial basis function algorithm to detect high-impedance faults Frontiers in Energy Research, 2023 DOI:10.3389/fenrg.2023.1101049

[5]	A new robust approach for fault location in transmission lines using single channel independent component analysis Electric Power Systems Research, 2023 DOI:10.1016/j.epsr.2023.109281

[6]	Intelligent Short-Circuit Protection with Solid-State Circuit Breakers for Low-Voltage DC Microgrids IETE Journal of Research, 2023 DOI:10.1080/03772063.2023.2181228

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[8]	1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems 2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON), 2022 DOI:10.1109/ONCON56984.2022.10126859

[9]	Fault Classification with Convolutional Neural Networks for Microgrid Systems International Transactions on Electrical Energy Systems, 2022 DOI:10.1155/2022/8431450

[10]	Learning approach based DC arc fault location classification in DC microgrids Electric Power Systems Research, 2022 DOI:10.1016/j.epsr.2022.107874

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[12]	Transmission Line Fault Localization With Mesh and Surface Analysis Using PCA Features Electric Power Components and Systems, 2022 DOI:10.1080/15325008.2022.2135647

[13]	Transmission Line Faults in Power System and the Different Algorithms for Identification, Classification and Localization: A Brief Review of Methods Journal of The Institution of Engineers (India): Series B, 2021 DOI:10.1007/s40031-020-00530-0

[14]	Classification of faults in an IEEE 30 bus transmission system using fully convolutional network International Transactions on Electrical Energy Systems, 2021 DOI:10.1002/2050-7038.13134

[15]	Machine learning applications in power system fault diagnosis: Research advancements and perspectives Engineering Applications of Artificial Intelligence, 2021 DOI:10.1016/j.engappai.2021.104504

[16]	A Real-Time Fault Localization in Power Distribution Grid for Wildfire Detection Through Deep Convolutional Neural Networks IEEE Transactions on Industry Applications, 2021 DOI:10.1109/TIA.2021.3083645

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[18]	Robot Intelligence Technology and Applications 5 Advances in Intelligent Systems and Computing, 2019 DOI:10.1007/978-3-319-78452-6_13

[19]	Advanced techniques for fault detection and classification in electrical power transmission systems: An overview 2019 8th International Conference on Modern Power Systems (MPS), 2019 DOI:10.1109/MPS.2019.8759695

[20]	High-impedance fault detection in medium-voltage distribution network using computational intelligence-based classifiers Neural Computing and Applications, 2019 DOI:10.1007/s00521-019-04445-w

[21]	A Novel Ensemble Approach to Multi-label Classification for Electric Power Fault Diagnosis 2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT), 2019 DOI:10.1109/ICCSNT47585.2019.8962410

[22]	Power System Fault Detection, Classification And Clearance By Artificial Neural Network Controller 2019 Global Conference for Advancement in Technology (GCAT), 2019 DOI:10.1109/GCAT47503.2019.8978400

[23]	Fault Detection and Classification Based on Co-training of Semisupervised Machine Learning IEEE Transactions on Industrial Electronics, 2018 DOI:10.1109/TIE.2017.2726961

[24]	Determination of Source Fault Using Fast Acting Automatic Transfer Switch 2018 Dynamics of Systems, Mechanisms and Machines (Dynamics), 2018 DOI:10.1109/Dynamics.2018.8601484

[25]	Maximal electrical load modeling and forecasting for the tajikistan power system based on principal component analysis 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2017 DOI:10.1109/ICIEAM.2017.8076259

[26]	An enhanced ACO and PSO based fault identification and rectification approaches for FACTS devices International Transactions on Electrical Energy Systems, 2017 DOI:10.1002/etep.2344

[27]	Condition monitoring of transmission lines in real time situation 2014 2nd International Conference on Electrical, Electronics and System Engineering (ICEESE), 2014 DOI:10.1109/ICEESE.2014.7154570

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