Abstract
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 important part in modern railway operations. CMS for railway vehicles involves techniques including model-based and signal-based techniques for the detection of faults which assists 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 involving 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 the future research efforts in this area.
Publisher
Sir Syed University of Engineering and Technology
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