Reliability Study on Control Unit of Metro Train Auxiliary Inverter Based on Improved Monte Carlo Algorithm

To overcome the shortcomings of Monte Carlo algorithm, such as low convergence speed and large error, FMECA is used to rank failure modes of all components then find the key components and the fault modes in the system based on risk matrix. Then, the system is simplified and the fault tree of the system is re-established. Based on the result, Monte Carlo algorithm is used to evaluate the reliability of the system with the index of safety severity, practical severity, and unavailability. Finally, the control unit of train auxiliary inverter is taken as an example to verify the validity of the model. The result proves that this method greatly speeds up the calculation and improves the computing accuracy.

• Record URL:
  • https://doi.org/10.1061/9780784480915.516
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784480915
• Supplemental Notes:
  • © 2018 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Ji, Ying
  • Li, Xiaobo
  • Wu, Hao
  • Cai, Pengfei
• Conference:
  • 17th COTA International Conference of Transportation Professionals
  • Location: Shanghai , China
  • Date: 2017-7-7 to 2017-7-9
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 5004-5014
• Monograph Title: CICTP 2017: Transportation Reform and Change—Equity, Inclusiveness, Sharing, and Innovation

Subject/Index Terms

• TRT Terms: Control systems; Inverters; Rail transit; Reliability; Vehicle design; Vehicle safety
• Subject Areas: Design; Public Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01890064
• Record Type: Publication
• ISBN: 9780784480915
• Files: TRIS, ASCE
• Created Date: Aug 15 2023 9:00AM