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A Systematic Review of Acceleration-Based Estimation of Railway Track Quality

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Japanese railway condition monitoring of tracks using in-service vehicle

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inferredcites →https://doi.org/10.1080/00423114.2015.1034730openalex-snapshot

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Estimation of Lateral Track Irregularity Through Kalman Filtering Techniques

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Observations on track evolution from onboard inertial measurements

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Development of an Algorithm for Detecting Railway Corrugations in Acceleration Data

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An Experimental Study on the Railway Track Surface Fault Detection with Automation

inferredcites →https://doi.org/10.1109/iaeac.2017.8054238openalex-snapshot

Track irregularities estimation based on the vibration of car-body

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Fuzzy logic based railway track condition monitoring system

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Data Driven Methods to Predict Vertical Profiles of the Rails: A Case Study

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Dynamic Modelling and Acceleration Signal Analysis of Rail Surface Defects for Enhanced Rail Condition Monitoring and Diagnosis

inferredcites →https://doi.org/10.1109/icmdcs.2017.8211548openalex-snapshot

IoT based rail track health monitoring and information system

inferredcites →https://doi.org/10.1109/icnsc.2019.8743315openalex-snapshot

Rail Corrugation Identification Method Based on Parameter optimization VMD and SPWVD

inferredcites →https://doi.org/10.1109/itsc.2013.6728413openalex-snapshot

Monitoring the railway infrastructure: Detection of surface defects using wavelets

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Axle box acceleration for health monitoring of insulated joints: A case study in the Netherlands

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Railroad Track Condition Monitoring Using Inertial Sensors and Digital Signal Processing: A Review

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Signal Feature Extraction and Combination to Enhance the Detection and Localization of Railroad Track Irregularities

inferredcites →https://doi.org/10.1109/mic.2012.6273305openalex-snapshot

Track irregularities estimation based on acceleration measurements

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Data Augmentation for Fault Classification of Railway Track Irregularities in Track-Vehicle Scale Model

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Automatic Detection of Corrugation: Preliminary Results in the Dutch Network Using Axle Box Acceleration Measurements

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Parametric study of axle box acceleration at squats

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Determination of longitudinal profile of railway track using vehicle-based inertial readings

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Monitoring of lateral and cross level track geometry irregularities through onboard vehicle dynamics measurements using machine learning classification algorithms

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Determination of railway track longitudinal profile using measured inertial response of an in-service railway vehicle

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Review on model-based methods for on-board condition monitoring in railway vehicle dynamics

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Machine learning aided rail corrugation monitoring for railway track maintenance

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Track geometry estimation of a conventional railway from car-body acceleration measurement

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COMMON CROSSING CONDITION MONITORING WITH ON BOARD INERTIAL MEASUREMENTS

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On the Derivation of Rail Roughness Spectra from Axle-box Vibration: Development of a New Technique

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Design and validation of a railway inspection system to detect lateral track geometry defects based on axle-box accelerations registered from in-service trains

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Rail Track and Rail Vehicle Intelligent Monitoring System

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Optical Fibres for Condition Monitoring of Railway Infrastructure—Encouraging Data Source or Errant Effort?

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Railway Track Monitoring Using Train Measurements: An Experimental Case Study

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Evaluating Degradation at Railway Crossings Using Axle Box Acceleration Measurements

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Data-Driven Bias Correction and Defect Diagnosis Model for In-Service Vehicle Acceleration Measurements

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Prediction Models for Railway Track Geometry Degradation Using Machine Learning Methods: A Review

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Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds

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A Machine-Learning-Based Approach for Railway Track Monitoring Using Acceleration Measured on an In-Service Train

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Condition monitoring of railway track systems by using acceleration signals on wheelset axle-boxes

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Design of Onboard Device to Diagnose Track Fault Online

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DIRECTIVE (EU) 2017/1371 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL

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inferred← citeshttps://doi.org/10.3390/app16157531openalex-snapshot

Multimodal Data Analysis for Railway Switch Monitoring: Point Machine Motor Currents, Track Geometry, and Maintenance Records

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