Condition Monitoring of Rail Vehicle Wheel Profile
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Date
2015-04
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Addis Ababa University
Abstract
Condition based maintenance or condition monitoring and fault detection systems are now
becoming increasingly important in rail vehicles maintenance and operation, ensuring safety
and reliability improvement. Up to now light rail vehicles were not the main target for this
trend, because of low operation speed and lower safety factors. Nevertheless public transport
operators begin to pay a closer attention to the condition monitoring of tramways, in order to
reduce maintenance cost and increase safety and ride comfort for passengers, which is a very
important task for public transport competitiveness in this century. To meet the above
mentioned goal, this paper models rail-wheel condition monitoring program based on rail
vehicle wheel profile analysis by using mathematical analysis and matlab simulation to
extract different features. By extracting different features and using matlab simulation, it
obtained graphical indication for monitoring of the wheel condition by setting expected goal.
So it can be applied in any types of rail vehicles because it reduces maintenance cost and
increase safety factors. Good or bad wheel profile can easily be identified by using such
matlab algorithm for specified rail vehicles. Therefore, this paper focuses on identification of
proper wheel profile for any types of rail vehicles. Moreover, other monitoring system such
as vibration, sound and etc can also be applied by using such algorithm.
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Keywords
Rail Vehicle, Wheel Profile, Monitoring