Reliability verification of a FBG sensors based train wheel condition monitoring system

Chuliang Wei, Zemin Cai, Hwa Yaw Tam, Siu Lau Ho, Qin Xin

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Railway condition monitoring is one of crucial factors to ensure safe and cost-effectiveness of train operation. A fiber Bragg grating sensors based real-time train wheel condition monitoring system has been developed and reported by our team. In the system, the condition index (CI) is generated to indicate wheel condition. To further verify the system is reliable. This paper reports, as case studies, the two-parameter Weibull distribution model is used to analyze the CI of nine train cars, and proves that the CI can well indicate the wheel condition. Moreover a discussion of cost and reliability for wheel maintenance, also reported in the paper, can help railway operators to achieve the best balance between the cost and the reliability.
Original languageEnglish
Title of host publicationProceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012
Pages1091-1094
Number of pages4
DOIs
Publication statusPublished - 18 May 2012
Event2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012 - Sanya, Hainan, China
Duration: 6 Jan 20127 Jan 2012

Conference

Conference2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012
Country/TerritoryChina
CitySanya, Hainan
Period6/01/127/01/12

Keywords

  • FBG Sensor
  • Reliability Verification
  • Train Wheel Condition Monitoring
  • Weibull Distribution Model

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

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