Resilience quantitative evaluation framework and performance improvement for train control system on-board equipment

摘要

As failures may happen on the train control system which has a complex structure due to the negative interference during train operation, the ability to resist the interference of the system needs to be improved. Resilience can improve the ability of the system to resist the adverse interference very well. Therefore, it is significant to study the quantitative analysis and improvement strategies of the system resilience. The resilience is defined as the capability of a system returning to normal state when suffered interference which may lead to the decrease of the system function. In this paper, discrete time Bayesian network approach is used to analyze the reliability of the on-board equipment with higher frequency of failure occurrence, and the resilience evaluation model is constructed. It is necessary to evaluate the resilience of the on-board equipment when the failure occurs in the process of operation. In addition, the failure of the on-board equipment in the operation process is divided into short-term recoverable failure and short-term unrecoverable failure. When the short-term recoverable failure occurs in the on-board equipment, such as the main equipment of the redundant equipment, the resilience of the system is 98.89%. Based on the evaluation results, this paper puts forward some strategies to improve the resilience of the system.