Research on Arc Fault Identification Method of Three-Phase Load Based on Improved TCN

Author:

Fu Xingwu,Liu Xingyuan,Cui Feifan

Publisher

Springer Nature Singapore

Reference16 articles.

1. Qu, N., Wang, J.H., Liu, J.H.: Series arc fault detection method based on Cassie Mode and L_(3/4) Norm. Power Grid Technol. 42(12), 3992–3997 (2018). (in Chinese)

2. Long, G.W., Mu, H.B., Li, Y.: Fault identification technology of series arc based on deep learning algorithm. In: Proceedings of the 2020 IEEE International Conference on High Voltage Engineering and Application, ICHVE, pp. 1–4. IEEE, Beijing (2020)

3. Zhao, S.L., Zhang, Y.F., Zhao, Y.: Measurement and analysis method of electromagnetic signals for DC arcing fault. In: Proceedings of the 2017 4th International Conference on Electric Power Equipment - Switching Technology, ICEPE-ST, pp. 833–836. IEEE, Xi’an (2017)

4. Qu, N., Wang, J.H., Liu, J.H.: An arc fault detection method based on current amplitude spectrum and sparse representation. IEEE Trans. Instrum. Meas. 68(10), 3785–3792 (2019)

5. Lu, Q.W., Wang, T., He, B.B.: A new series arc fault identification method based on wavelet transform. In: Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON, pp. 4817–4822. IEEE, Beijing (2017)

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