首页> 外文会议>International Conference on Sensing, Diagnostics, Prognostics, and Control >Railway Train Device Fault Causality Model Based on Knowledge Graph
【24h】

Railway Train Device Fault Causality Model Based on Knowledge Graph

机译:基于知识图的火车列车器件故障因果模型

获取原文

摘要

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.
机译:铁路火车的安全运行对铁路系统的安全性非常重要。因此,有必要掌握铁路列车设备的故障规则和原因。然而,目前的常见故障分析方法具有一些缺点,例如复杂的编译过程和表达不足。因此,我们选择使用知识图技术。首先,通过真实故障数据的统计来获得铁路列车设备的常见故障;其次,分析了故障原因,并建立了故障树;第三,铁路列车系统的本体是根据故障树施工的想法建模的模型;最后,根据本体模型建立了本体之间的逻辑关系,建立了基于知识图形的铁路列车设备故障因果模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号