Research on Security Assessment and Maintenance Decision of Trains Based on Bayesian Networks

With the medium and low speed maglev train plays the role of commercial operation gradually, people put forward higher requirements for train safety reliability, which makes train security assessment even more prominent. Aiming at the characteristics of the maglev train equipments as well as the limitations of traditional security assessment, the establishment of a multi-state security assessment based on Bayesian network model has better diagnostic reasoning and causal reasoning ability. Finally, using the model to analysis the train traction system quantitatively, finding the weaknesses of the system and the relationship between the equipments to make rational maintenance decision. This will provide a basis to improve the reliability of train equipment and repair and maintenance work.