High-speed Railway External Power Supply Reliability Evaluation of Bayesian Network

Zechuan Liang, Minwu Chen, Guoxu Shang, Baoyu Lv

School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China.

DOI: 10.4236/epe.2013.54B159                

Abstract

Reliability evaluation is important in high speed railway external power supply design, based on probability reasoning bayesian network applied in high-speed railway external power supply reliability evaluation, establish the minimum cut and the minimum path of bayesian network model, quantitative calculation external power supply system in each element posterior probability, and the example analysis verified the feasibility and correctness of the above method. Using bayesian network bidirection reasoning technology, quantitative calculation the posterior probability of each element in external power supply system, realized the identification of weak link in external power supply. The research methods and the results of the study can be used in the scheme optimization design of high speed railway external power supply.

Keywords

Bayesian Networks; The Minimal Path; The Minimal Cut; External Power Source; Reliability Evaluation

Conflicts of Interest

The authors declare no conflicts of interest.

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