Fault prediction and condition-based repair method of urban rail train bogie

The invention provides a fault prediction and condition-based repair method of an urban rail train bogie. An optimum service life distribution model of a framework, a spring device, a connecting device, a wheel set, an axle box, a driving mechanism and a basic brake device of a bogie is determined by adopting a method based on survival analysis, a reliability characteristic function of each subsystem is obtained, then the fault rate of each subsystem of the bogie is calculated by adopting a neural network model optimized by an evolutionary algorithm, and finally proportional risk modelling is conducted by taking the fault rate and safe operation days of each subsystem of the bogie as concomitant variables, and on the basis of cost optimization, thresholds and control limits for condition-based repair of a bogie system are obtained.