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References

1 
Chunpeng, Tian., Zhao, feng, Xu., Lukun, Wang., Yunjie, Liu, “Arc fault detection using artificial intelligence: Challenges and benefits,” Mathematical Biosciences and Engineering, vol. 20, Issue 7, pp. 12404-12432, 2023. DOI:10.3934/mbe.2023552DOI
2 
Run, Zhou, Jiang., Yilong, Wang., Xiaoqing, Gao., Guanghai, Bao., Qiteng, Hong., Campbell, Booth, “AC Series Arc Fault Detection Based on RLC Arc Model and Convolutional Neural Network,” IEEE Sensors Journal, vol. 23, Issue 13, pp. 14618-14627, 2023. DOI:10.1109/JSEN.2023.3280009DOI
3 
Yooshin, Cho., Kyoung-Tak, Kim., Sung-Hun, Lim, “Arc Fault Detection Algorithm Based on of Amplitude Difference of Current and Harmonic in Time and Frequency Domain,” Journal of The Korean Institute of Illuminating and Electrical Installation Engineers, vol. 37, no. 3, pp. 69-76, 2023. DOI:10.5207/jieie.2023.37.3.069DOI
4 
Li, T. & Li, H., “Simulation of electric arc characteristics based on matlab/simulink,” IOP Conference Series: Materials Science & Engineering, vol. 452, no. 4, Dec. 2018.DOI