Fault Prediction of Metro Door System Based on Bayesian Network

With the development of subways, safety of subways requires equipment for fault diagnosis technology. This paper briefly expounds on the construction principle of Bayesian network and the propagation and update of network beliefs and elaborates the process of transforming fault tree to Bayesian network, including the mapping relationship between nodes and events and the mapping relationship of logic gates. Finally, the fault tree of the subway door system is established, and the fault tree is transformed into the faulty Bayesian network model. The case analysis of the Bayesian network accurate reasoning theory based on the junction tree algorithm is carried out.