An approach for the estimation of lateral track irregularity using axle-box acceleration
ISSN: 0264-4401
Article publication date: 13 November 2023
Issue publication date: 5 December 2023
Abstract
Purpose
This article aims to predict the rapid track geometry change in the short term with a higher detection frequency, and realize the monitoring and maintenance of the railway state.
Design/methodology/approach
Firstly, the ABA data needs to be filtered to remove the DC component to reduce the drift due to integration. Secondly, the quadratic integration in frequency domain for concern components of the vertical and lateral ABA needs to be done. Thirdly, the displacement in lateral of the wheelset to rail needs to be calculated. Then the track alignment irregularity needs to be calculated by the integration of lateral ABA and the lateral displacement of the wheelset to rail.
Findings
By comparing with a commercial track geometry measurement system, the high-speed railway application results in different conditions, after removal of the influence of LDWR, identified that the proposed method can produce a satisfactory result.
Originality/value
This article helps realize detection of track irregularity on operating vehicle, reduce equipment production, installation and maintenance costs and improve detection density.
Keywords
Acknowledgements
This work was supported by National Key R&D Program of China (No. 2022YFB2603400) and China Academy of Railway Sciences Co. Ltd. (No. 2022YJ276). The authors thank the anonymous reviewers for their valuable comments.
Citation
Xu, X., Sun, S., Fei, Y., Niu, L., Tian, X., Ke, Z., Dai, P. and Liang, Z. (2023), "An approach for the estimation of lateral track irregularity using axle-box acceleration", Engineering Computations, Vol. 40 No. 9/10, pp. 3036-3054. https://doi.org/10.1108/EC-03-2023-0094
Publisher
:Emerald Publishing Limited
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