P. Qi, S. Jovanovic, J. Lezama, P. Schweitzer, "Discrete wavelet transform optimal parameters estimation for arc fault detection in low-voltage residential power networks," Electric Power Systems Research, vol. 143, pp. 130-139, 2017.

J. Jun, "Research on alternating current series arcing in a more-electric-aircraft system," pp. 683-684, Proceedings of the International Conference on Electrical Power Equipment - Switching Technology (ICEPE-ST), 2017.

C.-J. Park, J.-C. Kim, J.-Y. Jeong, S.-S. Kwak, "Study of Series and Parallel AC Arc Detection Techniques on AC Power Lines Based on Time-Domain and Frequency-Domain Approaches," The Transactions of the Korean Institute of Electrical Engineers, vol. 70, no. 9, pp. 1295-1303, 2021.

K. Yang, R. Chu, R. Zhang, J. Xiao, R. Tu, "A novel methodology for series arc fault detection by temporal domain visualization and convolutional neural network," Sensors, vol. 20, no. 1, 2020.

N. Qu, J. Wang, J. Liu, "An arc fault detection method based on current amplitude spectrum and sparse representation," IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 10, pp. 3785-3792, 2019.

Y. Wang, F. Zhang, X. Zhang, S. Zhang, "Series AC arc fault detection method based on hybrid time and frequency analysis and fully connected neural network," IEEE Transactions on Industrial Informatics, vol. 15, no. 12, pp. 6210-6219, 2019.

C.-M. Park, M.-H. Yoon, S.-H. Lim, "DC Series Arc Detection Algorithm Using FFT-Based Frequency Band Analysis and RMS Current Variations," The Transactions of the Korean Institute of Electrical Engineers, vol. 75, no. 3, pp. 629-636, 2026.

D. Shin, T. G. Bull, J. W. McBride, "Experimental study of relationship between arc light intensity and temperature in low-voltage switching devices," IEEE Transactions on Components, Packaging and Manufacturing Technology, vol. 10, no. 11, pp. 1840-1848, 2020.

Y. Kim, "Arc Fault Detection Algorithm for Input and Output Sides of a Three-Phase Inverter Using Artificial Intelligence," Master thesis, Chung-Ang University, 2025.

K. He, X. Zhang, S. Ren, J. Sun, "Deep residual learning for image recognition," pp. 770-778, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.