Abstract
The paper presents a GIS partial discharge evaluation system based on convolutional neutral network. Partial discharge evaluation method and its system aim to solve the problem of false alarm and leakage alarm of the existing partial discharge monitoring system. The evaluation system is presented in detail. The method of the GIS partial discharge signal acquisition is analyzed. The convolutional neutral network to classify the partial discharge types is researched, and the experiment of evaluation system verify the effectiveness of convolutional neutral network.
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Acknowledgments
This work is supported by the Technical Projects of China Southern Power Grid (No. GDKJXM20180128). The authors would like to thank all the members including trainees in China Southern Power Grid.
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Wang, L., Tan, L., Wang, Z. (2021). Evaluation System of GIS Partial Discharge Based on Convolutional Neutral Network. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-51328-3_10
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DOI: https://doi.org/10.1007/978-3-030-51328-3_10
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