Series DC Arc Fault Detection Using Machine Learning Algorithms

Author:

Dang Hoang-LongORCID,Kim JaechangORCID,Kwak SangshinORCID,Choi SeungdeogORCID

Funder

National Research Foundation of Korea (NRF) grant

Korea government

Technology Development Program to Solve Climate Changes through the National Research Foundation of Korea

Ministry of Science, ICT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 38 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. Learning from high-dimensional cyber-physical data streams: a case of large-scale smart grid;International Journal of Machine Learning and Cybernetics;2024-09-02

2. DC Arc Failure Detection based on Division of Time and Frequency Components using Intelligence Models;Journal of Electrical Engineering & Technology;2024-08-05

3. DC Series Arc Fault Detector With Differential DWT and Variable Threshold Method for Photovoltaic Systems;IEEE Transactions on Industrial Informatics;2024-07

4. FPGA Acceleration of DL-Based Real-Time DC Series Arc Fault Detection;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

5. Extreme Learning Machine Approach for Transmission Line Protection using Wavelet Singular Entropy;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

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