Fault diagnosis of rail vehicle suspension system based on distributed DPCA

The suspension system plays a crucial role of the rail vehicles. The fault diagnosis of the suspension system is an effective way to ensure the security, stable operation of rail vehicles. In this paper, a distributed fault diagnosis method is proposed. This paper concerns the fault diagnosis issue of rail vehicle suspension systems with the extended form of dynamic principle components analysis, distributed dynamic principle components analysis (Distributed DPCA). The signal information used in the fault diagnosis is obtained from the SIMPACK and MATLAB co-simulation environment. In this paper, the typical primary spring and secondary damper faults are diagnosis successfully using Distributed DPCA. For each suspension subsystem, DPCA is applied and the detection results are co-operated mainly by the distributed relation of the subsystems. The statistical index SPE and T² are applied to monitor the performance of suspension system and the distributed analysis are used to handle the fault isolation problem. The effectiveness of the proposed approach is demonstrated by the simulation results for several fault scenarios.