The rapid rise in railroad transport across the world demands an improved service in form of safety, comfort, reliability, and cost-effectiveness. For the improvement of reliability, safety, and efficiency; sophisticated Condition Monitoring Systems (CMS) have become an important part of modern railway operations. CMS for railway vehicles involves techniques including model-based and signal-based techniques for the detection of faults. These techniques assist in preventing the system from any major failure. The core element of a CMS is the use of suitable algorithms to evaluate system behavior for achieving a solution to avoid accidents of railway vehicles. This paper attempts to compare and evaluate the existing state-of-the-art condition monitoring techniques applied for real-time monitoring of railway wheel-set dynamics. In addition, recommendations are presented for future research efforts in this area.


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    Titel :

    Modern Condition Monitoring Systems for Railway Wheel-Set Dynamics: Performance Analysis and Limitations of Existing Techniques


    Beteiligte:
    Khakoo Mal (Autor:in) / Imtiaz Hussain (Autor:in) / Tayab Din Memon (Autor:in) / Dileep Kumar (Autor:in) / Bhawani Shankar Chowdhry (Autor:in)


    Erscheinungsdatum :

    2022



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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