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Data-driven inversion of alignment and profile track geometry irregularities from acceleration responses measured on operating trains

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Introduction to Digital Signal Processing and Filter Design
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High Speed Railway Track Dynamics
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Vehicle–Track Coupled Dynamics: Theory and Applications
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Parameter characteristics of rail inspection measurement system of HSR-350x
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Model-based estimation of rail roughness from axle box acceleration
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Time consideration in machine learning models for train comfort prediction using LSTM networks
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Measuring vertical track irregularities from instrumented heavy haul railway vehicle data using machine learning
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Health condition monitoring of insulated joints based on axle box acceleration measurements
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Dynamic response prediction of vehicle-bridge interaction system using feedforward neural network and deep long short-term memory network
inferredcites →https://doi.org/10.1016/j.soildyn.2018.10.013openalex-snapshot
Random distribution characteristics of peak dynamic stress on the subgrade surface of heavy-haul railways considering track irregularities
inferredcites →https://doi.org/10.1016/j.ymssp.2016.06.041openalex-snapshot
Track-monitoring from the dynamic response of an operational train
inferredcites →https://doi.org/10.1016/j.ymssp.2023.110232openalex-snapshot
A new method to derive rail roughness from axle-box vibration accounting for track stiffness variations and wheel-to-wheel coupling
inferredcites →https://doi.org/10.1109/access.2021.3052099openalex-snapshot
On-Board Detection of Longitudinal Track Irregularity Via Axle Box Acceleration in HSR
inferredcites →https://doi.org/10.1109/tim.2011.2170377openalex-snapshot
A Mixed Filtering Approach for Track Condition Monitoring Using Accelerometers on the Axle Box and Bogie
inferredcites →https://doi.org/10.1111/j.1365-246x.2009.04177.xopenalex-snapshot
Time-frequency misfit and goodness-of-fit criteria for quantitative comparison of time signals
inferredcites →https://doi.org/10.1111/mice.12802openalex-snapshot
Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning
inferredcites →https://doi.org/10.1177/0954409720984292openalex-snapshot
The impact of summer heatwaves on railway track geometry maintenance
inferredcites →https://doi.org/10.1243/09544097jrrt353openalex-snapshot
Determination of Rail Vertical Profile through Inertial Methods
inferredcites →https://doi.org/10.1243/0954409jrrt65openalex-snapshot
Monitoring vertical track irregularity from in-service railway vehicles
inferredcites →https://doi.org/10.3390/s24030740openalex-snapshot
An In-Depth Study of Vibration Sensors for Condition Monitoring
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