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|Title: ||Real time detection of low adhesion in the wheel/rail contact|
|Authors: ||Hubbard, Peter D.|
Ward, Christopher P.
Goodall, Roger M.
|Issue Date: ||2013|
|Publisher: ||© IMechE. Published by Sage|
|Citation: ||HUBBARD, P.D. ... et al., 2013. Real time detection of low adhesion in the wheel/rail contact. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 227(6), pp. 623-634.|
|Abstract: ||Condition monitoring of railway vehicles has been highlighted by the railway industry as a key enabling technology for future system development. The primary uses for this could be the improvement of maintenance procedures and/or the identification of high risk vehicle running conditions. Advanced processing of signals means these tasks could be accomplished without the use of cost prohibitive sensors. This paper presents a system for the on-board detection of low adhesion conditions during the normal
operation of a railway vehicle. Two different processing methods are introduced. The first method is a modelbased approach that uses a Kalman-Bucy filter to estimate creep forces, with subsequent post processing for interpretation in to adhesion levels. The second non model-based method targets the assessment of relationships between vehicle dynamic responses to observe any behavioural differences as a result of an
adhesion level change. Both methods are evaluated in specific case studies using a British Rail (BR) Mark 3 coach, inclusive of a BR BT-10 bogie, and a generic modern passenger vehicle based on a contemporary bogie design. These
vehicles were chosen as typical application opportunities within the UK.
The results are validated with data generated by the multi-body simulation software VAMPIRE® for realistic data inputs, representing a key scientific achievement|
|Description: ||This paper was accepted for publication in the journal Dalton Transactions and the definitive published version is available at https://doi.org/10.1177/0954409713503634|
|Sponsor: ||This work was supported in part by RSSB under the project number T959.|
|Version: ||Accepted for publication|
|Publisher Link: ||https://doi.org/10.1177/0954409713503634|
|Appears in Collections:||Published Articles (Mechanical, Electrical and Manufacturing Engineering)|
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