Noise background AC series arc fault detection research based on IDOA-SR-VMD and ensemble learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00202-024-02310-1.pdf
Reference28 articles.
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2. Xiong Q, Chen W, Ji S et al (2020) Review of research progress on characteristics, detection and localization approaches of fault arc in low voltage DC system. Proceedings of the CSEE 40(18):6015–6026. https://doi.org/10.13334/J.0258-8013.PCSEE.200330
3. Moon W, Kim J, Jo A et al (2015) Ignition characteristics of residential series arc faults in 220-V HIV Wires. IEEE Trans Ind Appl 51(3):2054–2059. https://doi.org/10.1109/IAS.2014.6978497
4. Wu C, Xu W, Li Z et al (2018) Detection method of DC arc fault in photovoltaic system and its anti-interference research. Proc Chin Soc Electri Eng 38(12):3546–3555. https://doi.org/10.13334/j.0258-8013.pcsee.170381
5. Wu C, Zheng Y, Wang F et al (2022) Characteristics of arc fault signals in DC microgrid faults. High Volt Eng 48(09):3689–3699. https://doi.org/10.13336/j.1003-6520.hve.20210599
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