Reliability Analysis of the Sliding Plug Door System Based on Bayesian Network

The metro door system is one of the high failure rate systems of metro vehicles, and the failure of driver motor is the major cause of the door failure, so the Bayesian network (BN) is applied to analyze the reliability of drive motor. First, the BN of the drive motor is established according to its fault tree, and the failure probability of drive motor is calculated by the method of bucket elimination. Then the fault diagnosis of the drive motor is made through the posterior probability. Finally, the key links of door system are affirmed based on the sensitivity of each basic event, which can provide support and reference for the maintenance of door system.