Reconstruction of sleeper displacements from measured accelerations for model-based condition monitoring of railway crossing panels
Artikel i vetenskaplig tidskrift, 2023

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 maintenance 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 interpretation 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.

3D scan

Condition monitoring

Displacement double integration

Multibody simulations

Railway crossing

Wireless accelerometer sensor


Marko Milosevic

Chalmers, Mekanik och maritima vetenskaper, Dynamik

Björn Pålsson

Chalmers, Mekanik och maritima vetenskaper, Dynamik

A. Nissen


Jens Nielsen

Chalmers, Mekanik och maritima vetenskaper, Dynamik

Håkan Johansson

Chalmers, Mekanik och maritima vetenskaper, Dynamik

Mechanical Systems and Signal Processing

0888-3270 (ISSN) 1096-1216 (eISSN)

Vol. 192 110225

In2Track-2 (CHARMEC EU19)

Trafikverket, 2018-11-01 -- 2021-10-31.

Europeiska kommissionen (EU) (EC/H2020/826255), 2018-11-01 -- 2021-10-31.




Annan elektroteknik och elektronik



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