Вестник Научно-исследовательского института железнодорожного транспорта (Sep 2023)

Development of an advanced algorithm for calculating and assessing the wheel pair geometry in the CONLOC system

  • A. S. Adadurov,
  • I. Yu. Savelev,
  • M. A. Chepulis,
  • K. G. Arinushkina

DOI
https://doi.org/10.21780/2223-9731-2023-82-3-247-256
Journal volume & issue
Vol. 82, no. 3
pp. 247 – 256

Abstract

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Introduction. The authors examine the development of new, updated mathematics in the automated control of the geometry of rolling stock wheel pairs for the CONLOC measuring system. The system uses non-contact 2D laser profile gauges to measure the parameters of locomotive wheels when they are placed in a depot and cars during their operation on the railway.Materials and methods. The researchers apply mathematical models with algorithms for describing and assessing the wheel profile given additional requirements to the smoothness and continuity of the functions in use. The paper analyses actual data on the state of the tread profiles of wheel pairs of wagons, and compared the results with the reference state of the tread surface profile under GOST 10791-2011.Results. The authors develop a new promising algorithm for describing and assessing the wheel rolling profile and improved the measurement accuracy by reducing the human factor, digitalising processes and automating the monitoring of the health of rolling stock along the route. The research determine the parameters of the tread surface profile of a wagon wheel with an operating time of 450 thousand kilometers.Discussion and conclusion. This data processing algorithm provides for non-contact and automated measurement of the geometry of wheel pairs of locomotives and multi-unit rolling stock, as well as passenger carriages and wagons in motion based on laser profile gauge data, as well as automated measurement reporting process, including information on the object under examination, and repair recommendations. The new algorithms and modern hardware provide accurate and reliable data on wheel pair geometry, predict the operating wear of the wheel pair without the need for manual measurements.

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