Abstract
As an important part of urban rail transit system, metro traction power supply system has important significance for ensuring the safe and stable operation of the system. In order to evaluate the reliability of the metro traction substation, the reliability model of the system based on Bayesian network is established, and the initial failure probability of the system is calculated in this paper firstly. Secondly, the dynamic Bayesian network is used to analyze the reliability of the typical metro traction substation in the time dimension, and the curve of system failure probability with time is accurately calculated. Finally, the two-way inference function of Bayesian network is used to find the weak link of the system, so that the reliability analysis of the metro traction substation is realized.
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Acknowledgements
This work is supported by National Key R&D Program of China (2017YFB1201202).
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Cong, G., Xu, W., Xing, Z. (2020). Reliability Analysis of Metro Traction Substation Based on Bayesian Network. In: Jia, L., Qin, Y., Liu, B., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019. EITRT 2019. Lecture Notes in Electrical Engineering, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-15-2862-0_42
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DOI: https://doi.org/10.1007/978-981-15-2862-0_42
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