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.


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    Title :

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


    Contributors:


    Publication date :

    2013-11-01


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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

    Hubbard, Peter / Ward, Chris / Dixon, Roger et al. | Tema Archive | 2013


    Mechatronic modeling of real-time wheel-rail contact

    Bosso, Nicola ;Spiryagin, Maksym ;Gugliotta, Antonio | SLUB | 2013


    Mechatronic modeling of real-time wheel-rail contact

    Bosso, Nicola ;Spiryagin, Maksym ;Gugliotta, Antonio | TIBKAT | 2013


    Wheel-rail adhesion

    Marta, H.A. / Mels, K.D. | Engineering Index Backfile | 1969