Purpose The purpose of this paper is to develop an improved adhesion model to better reproduce the low adhesion condition of the anti-skid control for rail vehicles under braking condition. Design/methodology/approach In view of the low adhesion characteristics for rail vehicles under braking conditions, the Polach adhesion model was improved based on the sliding power and sliding energy. The wheel–rail low adhesion model suitable for braking condition was given. The analysis of braking anti-skid control under emergency braking condition was carried out through the co-simulation, and compared with the test data; the effectiveness and practicability of the improved low adhesion model were verified. Findings The results showed that the improved adhesion model is simple and efficient and the parameters involved are less, and it can be directly applied to the real-time simulation of anti-skid control in the process of train braking. Originality/value This paper can provide a theoretical reference for the reasons of change and improvement of adhesion between wheel and rail caused by the adjustment of braking force under anti-skid control, which can fulfill a need to the study of sliding energy on the contact surface, the removal effect of pollutants on the wheel–rail surface and the improvement and recovery of adhesion caused. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2020-0244/

In this paper, the vehicle faults are estimated and diagnosed by introducing wavelet transform, based on the state-space method. It monitors the state of railway vehicle suspension system, establishes a vertical dynamic state-space model of railway-vehicle system to identify the parameters of vehicle suspension system. The simulation results show that, in the circumstances of the change of the parameters which is resulted from the gradual fault or the composite fault of the suspension system, the simulation results can effectively identify the basic characteristics of its parameters, realize vehicle fault diagnosis, so as to achieve the purpose of monitoring the state of suspension system, and provide a method for rail vehicle online condition monitoring.

No abstract

No abstract