Real-time fault diagnosis of train bogie using FBG sensors

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

2 Citations (Scopus)

Abstract

To measure the temperature profile of various critical parts on a train bogie to fore-warn the train drivers the potential failures in those mechanical parts, such as the axle and motor bearing, gear box bearing, and braking mechanisms, which could go undetected under existing maintenance procedure, and so as to reduce the possibility of sudden breakdowns. Eighteen fiber Bragg grating sensors are installed in those parts, and an interrogation system is used to capture the sensor data, then a data processing and presentation software consisting of a graphical user interface is to present the data and fore-warn the train drivers. The system is successfully built and tested in a train which services in the Airport Express Line of Hong Kong.
Original languageEnglish
Title of host publicationProceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012
Pages1087-1090
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

  • Fault Diagnosis
  • FBG Sensor
  • Temperature Monitoring
  • Train Bogie

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

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