Hubbard, P.D., Ward, C., Dixon, R. and Goodall, Roger M. (2013) Real Time Detection of Low Adhesion in the Wheel/Rail Contact. Journal of Rail and Rapid Transport: Proceedings of the Institution of Mechanical Engineers, Part F, 227 (6). pp. 623-634. ISSN 0954-4097Metadata only available from this repository.
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 model-based approach that uses a Kalman–Bucy filter to estimate creep forces, with subsequent post processing for interpretation into 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.
|Subjects:||T Technology > TF Railroad engineering and operation|
|Schools:||School of Computing and Engineering|
|Depositing User:||Cherry Edmunds|
|Date Deposited:||03 Jun 2013 09:23|
|Last Modified:||20 May 2014 12:12|
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