Insulated Rail Joint defect recognition using frequency characteristics of the Axle Box Acceleration measurements
P. Rouwenhorst (TU Delft - Civil Engineering & Geosciences)
V. L. Markine – Mentor (TU Delft - Railway Engineering)
JM Hendriks – Graduation committee member (TU Delft - Railway Engineering)
Nikola Bešinović – Graduation committee member (TU Delft - Transport and Planning)
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Abstract
In this thesis Axle Box Acceleration (ABA) data is used to determine the health condition of Insulated Rail Joints (IRJs) to investigate the potential of ABA data in predictive maintenance. Using frequency characteristics from the Continuous Wavelet Transformation (CWT), the main research question “How can Axle Box Acceleration data be used in automatic classification of specific defect types at Insulated Rail Joints?” is investigated and answered.
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