Early wheel flat detection: an automatic data-driven wavelet-based approach for railways

Stochastic analysis of railway embankment with uncertain soil parameters using polynomial chaos expansion

(2022) Mohammadreza Mohammadi et al.   Structure and Infrastructure Engineering

Development and Validation of a Weigh-in-Motion Methodology for Railway Tracks

(2022) Bruno Pintão et al.   SENSORS

Railway Vehicle Wheel Flat Detection with Multiple Records Using Spectral Kurtosis Analysis

(2021) Araliya Mosleh et al.   Applied Sciences-Basel

Bridge Weigh-in-Motion system for the identification of train loads using fiber-optic technology

(2021) Ricardo Pimentel et al.   Structures

Damage detection in railway bridges using traffic-induced dynamic responses

(2021) Andreia Meixedo et al.   ENGINEERING STRUCTURES

Online unsupervised detection of structural changes using train–induced dynamic responses

(2021) Andreia Meixedo et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Load-carrying capacity evaluation of girder bridge using moving vehicle

(2020) Zhen Sun et al.   ENGINEERING STRUCTURES

A new strategy to estimate static loads for the dynamic weighing in motion of railway vehicles

(2019) Araliya Mosleh et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT

Wear damage of out-of-round wheels in rail wagons under braking

(2019) Qingqun Lan et al.   ENGINEERING FAILURE ANALYSIS

Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from high-dimensional data

(2019) L.A. Bull et al.   JOURNAL OF SOUND AND VIBRATION

Time series data interpretation for ‘wheel-flat’ identification including uncertainties

(2019) Wen-Jun Cao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

An effective spatial-temporal attention based neural network for traffic flow prediction

(2019) Loan N.N. Do et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Damage detection under environmental and operational effects using cointegration analysis – Application to experimental data from a cable-stayed bridge

(2019) Emanuel Sousa Tomé et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wheel Defect Detection With Machine Learning

(2018) Gabriel Krummenacher et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Reconstruction of an informative railway wheel defect signal from wheel–rail contact signals measured by multiple wayside sensors

(2018) Alireza Alemi et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT

Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment

(2018) Vepa Atamuradov et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Deep Multitask Learning for Railway Track Inspection

(2017) Xavier Gibert et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Fault detection method for railway wheel flat using an adaptive multiscale morphological filter

(2017) Yifan Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An overview: modern techniques for railway vehicle on-board health monitoring systems

(2017) Chunsheng Li et al.   VEHICLE SYSTEM DYNAMICS

Condition monitoring approaches for the detection of railway wheel defects

(2016) Alireza Alemi et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT

Wayside detection of faults in railway axle bearings using time spectral kurtosis analysis on high-frequency acoustic emission signals

(2016) Arash Amini et al.   Advances in Mechanical Engineering

Wheel–rail contact formulation for analyzing the lateral train–structure dynamic interaction

(2015) P.A. Montenegro et al.   COMPUTERS & STRUCTURES

The influence of train properties on railway ground vibrations

(2015) Aires Colaço et al.   Structure and Infrastructure Engineering

Automatic Detection of Squats in Railway Infrastructure

(2014) Maria Molodova et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Railway wheel-flat detection and measurement by ultrasound

(2011) J. Brizuela et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Machine learning algorithms for damage detection under operational and environmental variability

(2010) Eloi Figueiredo et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL