Railway Train Device Fault Causality Model Based on Knowledge Graph
Yu Zeng, Yong Qin, Dian Liu, Yong Fu, Ming Gong, Xinning Zhang
Abstract
The safe operation of railway train is very important to the safety of the railway system. Therefore, it is necessary to master the failure rules and causes of the railway train devices. However, the current common fault analysis methods have some shortcomings, such as complicated compilation process and insufficient expression. Therefore, we choose to use the knowledge graph technology. Firstly, the common faults of railway train devices are obtained through the statistics of real fault data; secondly, the causes of faults are analyzed and the fault tree is established; thirdly, the ontology of railway train system is modeled according to the idea of fault tree construction; finally, the logical relationship between ontology is established according to the ontology model, and the railway train device fault causality model based on knowledge graph is established.