Abstract
At present, high-speed railway is faster and faster, which puts forward higher safety requirements for high-speed railway, and the on-board equipment for CTCS-3 train control system is vital. Therefore, it is necessary to carry out real-time monitoring of the various parts of the on-board equipment in order to find the fault, isolate the fault and eliminate the fault and improve the safety of high-speed train. this paper presents the on-board equipment Prognostics and health management (PHM) research, the use of intelligent diagnosis algorithm and prediction techniques, according to the health assessment of residual life prediction and the on-board equipment for train control system state maintenance and condition based maintenance (CBM) provide a theoretical basis. Taking the GSM-R receiving station of the train control system as an example, it is concluded that the scoring standard and health index(HI)are more reliable for fault prediction and health management.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
