Signature analysis on Wheel-rail interaction for rail defect detection

T. K. Ho, S. Y. Liu, Y. T. Ho, K. H. Ho, K. K. Wong, K. Y. Lee, Hwa Yaw Tam, Siu Lau Ho

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

10 Citations (Scopus)

Abstract

Fibre Bragg Grating (FBG) sensors have been installed along an existing line for the purposes of train detection and weight measurement. The results show fair accuracy and high resolution on the vertical force acted on track when the train wheels are rolling upon. While the sensors are already in place and data is available, further applications beyond train detection are explored. This study presents the analysis on the unique signatures from the data collected to characterise wheel-rail interaction for rail defect detection. Focus of this first stage of work is placed on the repeatability of signals from the same wheel-rail interactions while the rail is in healthy state. Discussions on the preliminary results and hence the feasibility of this condition monitoring application, as well as technical issues to be addressed in practice, are given.
Original languageEnglish
Title of host publication4th IET International Conference on Railway Condition Monitoring, RCM 2008
Volume2008
Edition12216
DOIs
Publication statusPublished - 1 Dec 2008
Event4th IET International Conference on Railway Condition Monitoring, RCM 2008 - Derby, United Kingdom
Duration: 18 Jun 200820 Jun 2008

Conference

Conference4th IET International Conference on Railway Condition Monitoring, RCM 2008
Country/TerritoryUnited Kingdom
CityDerby
Period18/06/0820/06/08

Keywords

  • rail defect detection
  • Remote sensing
  • Wheel-rail interactions

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Signature analysis on Wheel-rail interaction for rail defect detection'. Together they form a unique fingerprint.

Cite this