Real time detection of low adhesion in the wheel/rail contact

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 p...

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Bibliographic Details
Main Authors: Peter Hubbard, Christopher Ward, Roger Dixon, Roger Goodall
Format: Default Article
Published: 2013
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Online Access:https://hdl.handle.net/2134/35041
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Summary: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