Fault Prediction of Metro Door System Based on Bayesian Network

With the development of subways, safety of subways requires equipment for fault diagnosis technology. This paper briefly expounds on the construction principle of Bayesian network and the propagation and update of network beliefs and elaborates the process of transforming fault tree to Bayesian network, including the mapping relationship between nodes and events and the mapping relationship of logic gates. Finally, the fault tree of the subway door system is established, and the fault tree is transformed into the faulty Bayesian network model. The case analysis of the Bayesian network accurate reasoning theory based on the junction tree algorithm is carried out.

• Record URL:
  • https://doi.org/10.1061/9780784482292.174
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482292
• Supplemental Notes:
  • © 2019 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Xu, Yongneng
  • Ren, Yuchao
  • Qiao, Qiao
• Conference:
  • 19th COTA International Conference of Transportation Professionals
  • Location: Nanjing , China
  • Date: 2019-7-6 to 2019-7-8
• Publication Date: 2019-7

Language

• English

Media Info

• Media Type: Web
• Monograph Title: CICTP 2019: Transportation in China—Connecting the World

Subject/Index Terms

• TRT Terms: Bayes' theorem; Doors (Vehicles); Fault location; Networks; Rapid transit cars; Subways
• Geographic Terms: China
• Subject Areas: Maintenance and Preservation; Public Transportation; Railroads; Vehicles and Equipment;

Filing Info

• Accession Number: 01734384
• Record Type: Publication
• ISBN: 9780784482292
• Files: TRIS, ASCE
• Created Date: Mar 20 2020 4:27PM