Enhanced vertical railway track quality index with dynamic responses from moving trains.

Siwarak Unsiwilai, Wassamon Phusakulkajorn, Chen Shen, Arjen Zoeteman, Rolf Dollevoet, Alfredo Núñez, Zili Li

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Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Siwarak UnsiwilaiSection of Railway Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628CN, the Netherlands.

Wassamon PhusakulkajornSection of Railway Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628CN, the Netherlands.

Chen ShenSection of Railway Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628CN, the Netherlands.

Arjen ZoetemanProRail, Utrecht, 3511EP, the Netherlands.

Rolf DollevoetSection of Railway Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628CN, the Netherlands.

Alfredo NúñezSection of Railway Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628CN, the Netherlands.

Zili LiSection of Railway Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628CN, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conventional vertical track quality index (TQI) based on the standard deviation of longitudinal levels yields standardized railway track condition assessment. Nevertheless, its capability to identify problems is limited, particularly in the ballast and substructure layers when abrupt changes affect train-track interaction. Previous research shows that dynamic responses from moving trains via axle box acceleration (ABA) measurements can quantify abrupt changes in the vertical dynamic responses. Thus, this paper proposes a framework to design an enhanced vertical TQI, called EnVTQI, by integrating track longitudinal levels and dynamic responses from ABA measurements. First, measured ABA signals are processed to mitigate the influence of variation in measurement speed. Then, substructure and ballast-related features are extracted, including scale average wavelet power (SAWP) in the ranges 0.04 m

Indexed as

Axle box accelerationCondition monitoringFeature fusionTrack quality index

Identifiers

PMID39430498

DOI10.1016/j.heliyon.2024.e38670

PMCPMC11489374

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.