Reliability Analysis of Metro Vehicles Bogie System Based on Fuzzy Bayesian Network

Metro vehicles bogie system is one of the important components of urban rail train. The performance largely determines the vehicle running stability and safety. Accurately analyzing the reliability of the bogie system in metro vehicles is of great significance for ensuring the stability and security of urban rail trains during operation. In this paper, a Bayesian network model for the metro vehicles bogie system is established. The GeNIE software was used to calculate the posterior probability, probability importance and critical importance of the root nodes for reliability analysis. The results indicate that wheel diameter deviation is too large, excessive wheel diameter deviation, brake shoe wear, height valve leakage blocking and different pressure valve leakage blocking have a significant impact on the performance of the bogie system. These findings are consistent with previous research and actual operational data.