Ward, C.P., Dixon, R. and Goodall, Roger M. (2010) Wheel-Rail Profile Condition Monitoring. In: UKACC International Conference on Control 2010, 7th - 10th September 2010, Coventry, UK.
- Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Increased railway patronage worldwide is putting pressure on rolling stock and infrastructure to operate at higher capacity and with improved punctuality. Condition monitoring is seen as a contributing factor in enabling this and is highlighted here in the context of rolling stock being procured with high capacity data buses, multiple sensors and centralised control. This therefore leaves scope for advanced computational diagnostic concepts. The rail vehicle bogie and associated wheelsets are one of the largest and most costly areas of maintenance on rolling stock and presented here is a potential method for real time estimation of wheel-rail contact wear to move this currently scheduled based assessment to condition based assessment. This technique utilises recursive ‘grey box’ least squares system identification, used in a piecewise linear manner, to capture the strongly discontinuous nonlinear nature of the wheel-rail geometry.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||T Technology > TF Railroad engineering and operation|
|Schools:||School of Computing and Engineering
School of Computing and Engineering > Institute of Railway Research
|Depositing User:||Cherry Edmunds|
|Date Deposited:||02 Jul 2013 16:02|
|Last Modified:||04 Nov 2015 20:46|
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