DC Arc Fault Risk Degree Evaluation Based on Back Propagation Neural Network
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9541542/9541559/09541696.pdf?arnumber=9541696
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. Arc Fault Characterization by Using Statistical Parameters;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11
2. An AC Arc Fault Detection Method Based on FCM-LSTM-CNN;2023 3rd International Conference on Energy Engineering and Power Systems (EEPS);2023-07-28
3. Reliable Detection Method of Variable Series Arc Fault in Building Integrated Photovoltaic Systems Based on Nonstationary Time Series Analysis;IEEE Sensors Journal;2023-04-15
4. SunSpark: Fusion of time-domain and frequency-domain transformer for accurate identification of DC arc faults;Electronic Research Archive;2023
5. A DC Series Arc Fault Detection Method Based on a Lightweight Convolutional Neural Network Used in Photovoltaic System;Energies;2022-04-14
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