Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25311
Title: Real-time fault diagnosis of train bogie using FBG sensors
Authors: Wei, C
Cai, Z
Tam, HY 
Ho, SL 
Xin, Q
Keywords: Fault Diagnosis
FBG Sensor
Temperature Monitoring
Train Bogie
Issue Date: 2012
Source: Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012, 2012, 6173394, p. 1087-1090 How to cite?
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.
Description: 2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012, Sanya, Hainan, 6-7 January 2012
URI: http://hdl.handle.net/10397/25311
ISBN: 9780769546087
DOI: 10.1109/ISdea.2012.433
Appears in Collections:Conference Paper

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