DocumentCode
3582574
Title
Automated train track misalignment detection system based on inertia measurement unit
Author
Kang Chun Hong ; Hussin, Fawnizu Azmadi ; Saman, Abu Bakar Sayuti
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear
2014
Firstpage
1
Lastpage
5
Abstract
This paper presents a feasible, portable and lowcost detection technique for train track misalignment by using a micro electro mechanical system-based inertial measurement unit (IMU). As the train track serves as the steering base for railway vehicles, sensor measurements from IMU reflects the interaction between train and its track, as well as enhances identification of potential misaligned track. A field testing was conducted on a passenger-loaded Electric Train Service (ETS), covering from Kampar Station to KL Sentral Station in Malaysia. These measurements were analyzed and presented with discussion on track characteristics, train motion and noise. The end-product of this system attempts to identify the location of potential misaligned tracks, improve train track maintenance system and enhance riding comfort for the passengers.
Keywords
computerised instrumentation; human factors; maintenance engineering; micromechanical devices; railway engineering; railway safety; ETS; IMU; KL Sentral Station; Kampar Station; Malaysia; automated train track misalignment detection system; field testing; microelectro mechanical system-based inertial measurement unit; misaligned track location identification; passenger riding comfort enhancement; passenger-loaded electric train service; railway vehicles; sensor measurements; steering base; track characteristics; train motion; train noise; train track maintenance system improvement; train-track interaction; Acceleration; Accelerometers; Gyroscopes; Noise; Rail transportation; Tracking; Vibrations; track misalignment; train track maintenance;
fLanguage
English
Publisher
ieee
Conference_Titel
Research and Development (SCOReD), 2014 IEEE Student Conference on
Print_ISBN
978-1-4799-6427-7
Type
conf
DOI
10.1109/SCORED.2014.7072991
Filename
7072991
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