Please use this identifier to cite or link to this item:
Title: Signature analysis on Wheel-rail interaction for rail defect detection
Authors: Ho, TK
Liu, SY
Ho, YT
Ho, KH
Wong, KK
Lee, KY
Tam, HY 
Ho, SL 
Keywords: Rail defect detection
Remote sensing
Wheel-rail interactions
Issue Date: 2008
Source: IET Seminar digest, 2008, v. 2008, no. 12216 How to cite?
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.
Description: 4th IET International Conference on Railway Condition Monitoring, RCM 2008, Derby, 18-20 June 2008
ISBN: 9780863419270
DOI: 10.1049/ic:20080342
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Oct 19, 2018

Page view(s)

Last Week
Last month
Citations as of Oct 21, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.