Machine learning techniques applied on a nine-phase transmission line for faults classification and location-Reference-Cited by-同舟云学术

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Machine learning techniques applied on a nine-phase transmission line for faults classification and location

Published:2022-04 Issue: Volume:8 Page:801-810
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Eboule Patrick S. Pouabe^ORCID,Pretorius Jan Harm C.,Mbuli Nhlanhla

Publisher

Elsevier BV

Subject

General Energy

Reference13 articles.

1. World energy scenarios composing energy futures to 2050;Paul Scherrer Institute (PSI),2018

2. High voltage direct current transmission, Vol.29;Arrillaga,1998

3. Extruded cables for high-voltage direct-current transmission: advances in research and development, Vol. 93;Mazzanti,2013

4. Implementation of a future nine-phase power transmission line;Pouabe,2019

5. Nine-phase transmission line design: Implementation using Matlab/Simulink;Pouabe;Przegląd Elektrotechniczny,2020

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning;IEEE Access;2024

2. Research on the accurate fault location of AC substations based on switching action logic;Journal of Physics: Conference Series;2023-12-01

3. Location and Classification of Faults in High-Voltage Transmission Lines Using a Smart Grid Didactic System and Applying the Wavelet Transform, Higher-Order Statistics, and Artificial Neural Networks;2023

4. On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach;Energy Reports;2022-11

5. Fault Detection and Classification in Interconnected System with Wind Generation Using ANN and SVM;Advances in Electrical and Electronic Engineering;2022-10-03

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