Leakage and Discharge Fault Detection Technology of Subway Electromechanical Equipment Based on Big Data Analysis

Author:

Wang Wuguang,Ma XingfeiMa

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Min, C., Xiaobo, L., Ruiyi, W., et al.: Reliability prediction of metro traction inverter system based on grey optimization. Comput. Simul. 37(7), 168–171 (2020)

2. Fan, G., Xiubin, X., Yujing, C.: Design of on-line detection terminal for leakage and discharge fault of metro distribution equipment. Microcomput. Appl.. Appl. 37(8), 82–85 (2021)

3. Wenzeng, X.: Analysis and Improvement Measures of Leakage Current in Metro Station Power Distribution System. Urban Mass Transit 23(12), 169–172 (2020)

4. Xu, J.: Big NB-IoT data: enhancing portability of handheld narrow-band internet of things performance on big data technology. Mob. Inf. Syst. 2021(5), 1–6 (2021)

5. Evstifeev, A.A., Zaeva, M.A.: Method of applying fuzzy situational network to assess the risk of the industrial equipment failure. Procedia Comput. Sci. 190(150), 241–245 (2021)

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