E3S Web Conf.
Volume 360, 20222022 8th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2022)
|Number of page(s)||8|
|Published online||23 November 2022|
Submarine cable fault identification based on FCN-GRU-SVM
1 Anhui Jiyuan Software Co, Ltd, State Grid Information & Telecommunication Group, Hefei, China
2 School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China
3 Zhoushan Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd, Zhoushan, China
* Corresponding author: email@example.com
With the continuous growth of the global submarine cable laying length, the frequency of faults and the caused economic losses are increasing year by year. Rapid identification of submarine cable faults can reduce economic losses. For several typical submarine cable faults, this paper proposes a recognition method based on FCN-GRU-SVM. First, pre-process the original signal, then import the data into FCN-GRU to extract the signal features, and finally use SVM to identify the fault types. The experimental verification using the data set obtained by finite element simulation shows that the proposed method is superior to the comparison model and other time-frequency processing methods in accuracy and robustness.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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