A knowledge modeling method for high-speed railway emergency faults based on structured logic diagrams and knowledge graphsOA
A knowledge modeling method for high-speed railway emergency faults based on structured logic diagrams and knowledge graphs
Senshen Li;Chun Zhang;Guoyuan Yang;Wei Bai;Shaoxiong Pang;Xiaoshu Wang;Jian Yao;Ning Zhang
School of Computer Science and Technology,Beijing Jiaotong University,Beijing 100044,China||Engineering Research Center for High Speed Railway Network Management,Ministry of Education,Key Laboratory of Beijing Jiaotong University,Beijing 100044,ChinaSchool of Computer Science and Technology,Beijing Jiaotong University,Beijing 100044,China||Engineering Research Center for High Speed Railway Network Management,Ministry of Education,Key Laboratory of Beijing Jiaotong University,Beijing 100044,ChinaInstitute of Computing Technology,China Academy of Railway Sciences Corporation Limited,Beijing 100081,ChinaInstitute of Computing Technology,China Academy of Railway Sciences Corporation Limited,Beijing 100081,ChinaSchool of Computer Science and Technology,Beijing Jiaotong University,Beijing 100044,China||Engineering Research Center for High Speed Railway Network Management,Ministry of Education,Key Laboratory of Beijing Jiaotong University,Beijing 100044,ChinaInstitute of Computing Technology,China Academy of Railway Sciences Corporation Limited,Beijing 100081,ChinaInstitute of Computing Technology,China Academy of Railway Sciences Corporation Limited,Beijing 100081,ChinaSchool of Computer Science and Technology,Beijing Jiaotong University,Beijing 100044,China||Engineering Research Center for High Speed Railway Network Management,Ministry of Education,Key Laboratory of Beijing Jiaotong University,Beijing 100044,China
Fault emergency handlingKnowledge graphIntelligent O&M
Fault emergency handlingKnowledge graphIntelligent O&M
《高速铁路（英文）》 2026 (1)
59-67,9
The authors would like to acknowledge the support from the Scientific Funding for the Center of National Railway Intelligent Transportation System Engineering and Technology,China Academy of Railway Sciences Corporation Limited(Grant No.2023YJ354).
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