Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 192, Issue -, Pages -Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2023.110225
Keywords
Displacement double integration; Wireless accelerometer sensor; Condition monitoring; Railway crossing; 3D scan; Multibody simulations
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Railway switches and crossings (S&C, turnouts) are essential for connecting different track sections, but they also cause higher degradation rates compared to regular tracks. This paper focuses on the development of tailored signal processing tools for condition monitoring using embedded accelerometers in crossing panels. Analysis of sleeper acceleration measurement data from 100,000 train passages is performed, and a novel frequency-domain displacement reconstruction method is developed. The separation of the track response is proposed as a strategy to observe the ballast condition and crossing geometry condition.
Railway switches and crossings (S&C, turnouts) connect different track sections and create a railway network by allowing trains to change tracks. This functionality comes at a cost as the load-inducing rail discontinuities in the switch and crossing panels cause much larger degradation rates for S&C compared to regular plain line tracks. The high degradation rates make remote condition monitoring an interesting prospect for infrastructure managers to optimise mainte-nance and ensure safe operations. To this end, this paper addresses the development of tailored signal processing tools for condition monitoring using embedded accelerometers in crossing panels. Multibody simulations of the dynamic train-track interaction are used to aid the inter-pretation of the measured signals in a first step towards building a model-based condition monitoring system. An analysis is performed using sleeper acceleration measurement data generated by 100 000 train passages in eight crossing panels. Based on the given data, a novel frequency-domain displacement reconstruction method is developed and the robustness of the method with respect to encountered operational variability of the measured data is demonstrated. The separation of the track response into quasi-static and dynamic domains based on deformation wavelength regions is proposed as a promising strategy to observe the ballast condition and the crossing geometry condition, respectively.
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