2021 7th International Conference on Control, Automation and Robotics (ICCAR) 2021
DOI: 10.1109/iccar52225.2021.9463476
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Analysis and Prediction of Rail Corrugation Growth and Axle Box Acceleration Signals for Different Railway Track Configurations

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Cited by 5 publications
(1 citation statement)
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“…Ng and Martua [30] further modeled and predicted rail-corrugation growth for four different track configurations (different rail metallurgy, sleeper distance, and track system). Through 3D finite-element modeling and signal processing, the results showed that rail corrugation increases exponentially with time, with ballast track and head-hardening track with sleeper spacing of 700 mm showing the slowest corrugation growth.…”
Section: Influence Of Sleeper Distance On Rail Corrugationmentioning
confidence: 99%
“…Ng and Martua [30] further modeled and predicted rail-corrugation growth for four different track configurations (different rail metallurgy, sleeper distance, and track system). Through 3D finite-element modeling and signal processing, the results showed that rail corrugation increases exponentially with time, with ballast track and head-hardening track with sleeper spacing of 700 mm showing the slowest corrugation growth.…”
Section: Influence Of Sleeper Distance On Rail Corrugationmentioning
confidence: 99%