| As the urban railway service continue to advance at a remarkable pace, it is important to maintain reliable, safe and secure operation. Faults occured on the rail vehicle not only affect the schedueled operation but also threat the safty of the passangers. In order to achieve secure operation, the brake system must be safe and reliable. Therefore, research on fault diagnosis of urban rail vehicle air brake system is of great importance to keep and improve the secure and scheduel operation. This article concers on simulation of urban rail vehicle air brake system and its fault diagnosis problem and three aspects of work are done as follows:Firstly, analysis of the configuration and action principle is done to the urban rail vehicle air brake system, especially to the valves in the Brake Control Unit. Then simulation models of all the valves and the whole air brake system are constructed with AMEsim. Typical faults of the Brake Control Unit are studied and the relationship between faults and their symptoms are revealed based on the simulation model.Secondly, Bayesian Network based fault diagnosis method is proposed to find out the most likely fault occured in the urban rail vehicle air brake system and the maintenace strategy is given based on the fault diagnosis results.Thirdly, the FullBNT toolbox of MATLAB is used for the purpose of fault diagnosis and several typical faults in urban rail vehicle air brake system are studied. Thus, the effectiveness of the proposed method is demonstrated. |