United States Department of Transportation
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Rapid Detection of Track Changes from Onboard Data Acquisition Records
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2024-09-30
[PDF-1.34 MB]
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Edition:June 1, 2023 – August 31, 2024
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Abstract:Track stiffness fluctuations serve as early indicators of potential infrastructure issues, posing risks to both passenger safety and service reliability. Traditional monitoring methods like visual inspection and ultrasonic testing fall short in delivering consistent and comprehensive network-wide monitoring, underscoring the demand for robust track stiffness monitoring systems. This study aims to detect track stiffness variations by using dynamic responses obtained from in-service trains. The proposed novel and efficient hybrid signal processing algorithm detects stiffness changes from vertical acceleration records obtained from onboard sensors. The proposed system shows enhanced sensitivity to measurements, is resilient to noise, and has defect localization capabilities. This integrated approach facilitates a comprehensive evaluation of track stiffness changes across various timeframes and frequency ranges. Dynamic response analysis, particularly through the hybrid wavelet-Hilbert transform (HWHT) method, presents a promising avenue for advancing railway track stiffness monitoring. Leveraging real-time data from in-service trains and advanced signal processing techniques, this method enables timely detection of stiffness variations, thereby augmenting operational safety and efficiency within railway systems.
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