Print Email Facebook Twitter Detection of Rail Surface Defects based on Axle Box Acceleration Measurements: A Measurement Campaign in Sweden Title Detection of Rail Surface Defects based on Axle Box Acceleration Measurements: A Measurement Campaign in Sweden Author Phusakulkajorn, W. (TU Delft Railway Engineering) Hendriks, J.M. (TU Delft Railway Engineering) Moraal, J. (TU Delft Railway Engineering) Shen, C. (TU Delft Railway Engineering) Zeng, Y. (TU Delft Railway Engineering) Unsiwilai, S. (TU Delft Railway Engineering) Bogojevic, B. (TU Delft Railway Engineering) Asplund, Matthias (Trafikverket) Zoeteman, A. (ProRail) Nunez, Alfredo (TU Delft Railway Engineering) Dollevoet, R.P.B.J. (TU Delft Railway Engineering) Li, Z. (TU Delft Railway Engineering) Date 2024 Abstract This work presents the results of a measurement campaign to demonstrate the effectiveness of the axle box acceleration (ABA) technology for detecting rail defects. The measurements were conducted along the Iron Ore line between Sweden and Norway for the IN2TRACK3 project. This line is mostly single-track with passenger-freight mixed traffic and heavy axle load. Historical data and track information data were not considered in this study. By analyzing data acquired from the accelerometers in vertical and longitudinal directions, rail defects were detected in near real-time using big-data analytics. For our validated sections, 100% of rail defects (including squats) were detected using time-frequency analysis and an outlier detection approach. The methodology also allows for identifying priority locations, e.g., defective welds, joints, transition zones, etc., and its use for prescriptive maintenance recommendations is being explored in the framework of the IAM4RAIL project. Subject Rail defect detectionRail monitoringRail surface defectsAxle-box accelerationIntelligent railway infrastructure To reference this document use: http://resolver.tudelft.nl/uuid:3892018f-206d-4eff-b8b4-55f11a690b29 Event The 10th Transport Research Arena Conference 2024, 2024-04-15 → 2024-04-18, The Royal Dublin Society (RDS), Dublin, Ireland Part of collection Institutional Repository Document type conference paper Rights © 2024 W. Phusakulkajorn, J.M. Hendriks, J. Moraal, C. Shen, Y. Zeng, S. Unsiwilai, B. Bogojevic, Matthias Asplund, A. Zoeteman, Alfredo Nunez, R.P.B.J. Dollevoet, Z. Li Files PDF TRA_Phusakulkajorn_ABA_Ra ... ection.pdf 1.09 MB PDF TRA2024_Phusakulkajorn_Pr ... tation.pdf 149.78 MB Close viewer /islandora/object/uuid:3892018f-206d-4eff-b8b4-55f11a690b29/datastream/OBJ1/view