Identification of Critical Components of High-Speed Train Topology Network Under the Ice and Snow Scene.

Due to geographical location and climate factors, the winter is relatively cold and often has snow and ice in most areas of China. High-speed trains operate in the environment of icy and snowy weather for a long time, and snow and ice accumulation is inevitable. This paper identifies the key components of the high-speed train topology network under the ice and snow scene to ensure the safe and efficient operation of high-speed trains. Firstly, the extraction rules of components and the definition and types of relationships between components are summarized. Then the topological network of the high-speed train under the ice and snow scene is constructed. Secondly, an improved structural importance evaluation matrix is proposed to solve the structural importance of nodes, and natural connectivity is used to evaluate the functional importance of nodes. Finally, using the Bayesian information fusion method, the structural importance and functional importance of nodes are fused. Then, the comprehensive importance index of nodes is constructed to identify the key components in the topological network. The method proposed in this paper will help to better evaluate the reliability of high-speed train systems under the ice and snow scene and ensure the safe and efficient operation of high-speed trains.