基于粗糙集理论和贝叶斯网络的列控系统故障诊断研究

Research on Fault Diagnosis of Train Control System Based on Rough Set Theory and Bayesian Network

列车运行控制系统是操作列车行驶的指挥员,一旦列车运行控系统发生故障,不能及时解决,会对整个运输线路造成影响,所以为确了保列车的高效、安全运行,本文深入了解列车发生故障的原因,以贝叶斯网络和粗糙集理论为基础,提出列控系统故障诊断研究。对比CTCS-2而言,3级列控系统的先进性更为突出,本文以CTCS-3级系统为研究对象,引出CTCS-3级系统故障处理方法;概述CTCS-3级列控系统与可能发生故障的原因;使用案例进一步验证模型的准确性。

The train operation control system is the commander who runs the train. Once the train operation control system fails, it cannot be solved in time, which will affect the entire transportation line. Therefore, in order to ensure the train safety and improve the transportation efficiency of the train, this thesis Understand the causes of train fail ure, and propose a fault diagnosis study based on rough set theory and Bayesian network. The CTCS-3 train contr ol system is more advanced than the CTCS-2 train control system. Therefore, the paper uses the CTCS-3 system as the research object to carry out the following contents: First, the CTCS-3 system fault handling method is introd uced, and secondly, the overview is summarized. The CTCS-3 train control system and the possible causes of fail ure, and finally, use the case to further verify the accuracy of the model.