Power Distribution System Fault Diagnostic Using Genetic Algorithm and Neural Network-Reference-Cited by-同舟云学术

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Power Distribution System Fault Diagnostic Using Genetic Algorithm and Neural Network

Published:2021-01-27 Issue: Volume: Page:
ISSN:
Container-title:2021 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)
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Author:

Moloi K.,Yusuff A. A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9376875/9377010/09377241.pdf?arnumber=9377241

Cited by 12 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. Fault detection and classification in overhead transmission lines through comprehensive feature extraction using temporal convolution neural network;Engineering Reports;2024-07

2. Aircraft Actuator Performance Analysis Based on Dynamic Neural Network;Journal of Engineering;2023-10-04

3. Machine Learning for Fault Diagnosis in Active Distribution Networks;2023 IEEE 13th International Conference on System Engineering and Technology (ICSET);2023-10-02

4. Artificial intelligence techniques for ground fault line selection in power systems: State-of-the-art and research challenges;Mathematical Biosciences and Engineering;2023

5. Machine learning tools for active distribution grid fault diagnosis;Advances in Engineering Software;2022-11

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