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

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

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, 2019.

Y. Wang, L. Hou, K. C. Paul, Y. Ban, C. Chen, T. Zhao, "ArcNet: Series AC arc fault detection based on raw current and convolutional neural network," IEEE Trans. Ind. Informat., vol. 18, no. 1, pp. 77-86, 2022.

S. Rokocakau, G. Tresca, B. Mohammadzadeh, P. Zanchetta, G. Cirrincione, M. Cirrincione, "Fault diagnosis using 1-D convolutional Transformer hybrid neural network for cascaded H-bridge converters," pp. 3729-3736, Proc. 2024 IEEE Energy Conversion Congress and Exposition (ECCE), 2024.

M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, L.-C. Chen, "MobileNetV2: Inverted residuals and linear bottlenecks," pp. 4510-4520, Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit., 2018.

J. Hu, L. Shen, G. Sun, "Squeeze-and-excitation networks," pp. 7132-7141, Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2018.