Non-destructive assessment and health monitoring of railway infrastructures

SS Artagan, L Bianchini Ciampoli, F D'Amico… - Surveys in …, 2020 - Springer
A continuous increase in the worldwide demand for high-speed traffic, freight tonnage as
well as of the train operating frequency is worsening the decay conditions of many railway …

Integration of InSAR and GPR techniques for monitoring transition areas in railway bridges

F D'Amico, V Gagliardi, LB Ciampoli, F Tosti - NDT & E International, 2020 - Elsevier
This paper reports the integration of the Ground Penetrating Radar (GPR) and the
Interferometric Synthetic Aperture Radar (InSAR) techniques for the monitoring of the rail …

Rail defect detection method based on recurrent neural network

Q Xu, Q Zhao, G Yu, L Wang… - 2020 39th Chinese …, 2020 - ieeexplore.ieee.org
At present, there are some problems of low efficiency, heavy workload and low accuracy in
the manual detection data of rail defect detection vehicle. According to the characteristics of …

Evaluation of typical rail defects by induction thermography: experimental results and procedure for data analysis during high-speed laboratory testing

E D'Accardi, G Dell'Avvocato… - Quantitative InfraRed …, 2024 - Taylor & Francis
Rail inspection via non-destructive testing (NDT) techniques is a critical area of research in
the railway industry, significantly affecting transport safety and security. Conventional NDT …

Non-destructive technologies for sustainable assessment and monitoring of railway infrastructure: a focus on GPR and InSAR methods

C Ferrante, L Bianchini Ciampoli, A Benedetto… - Environmental Earth …, 2021 - Springer
Health monitoring of ballast in railway infrastructure is crucial to assure long-term structural
stability. An efficient and sustainable management of maintenance operations is therefore …

Wavelet scattering and neural networks for railhead defect identification

Y Jin - Materials, 2021 - mdpi.com
Accurate and automatic railhead inspection is crucial for the operational safety of railway
systems. Deep learning on visual images is effective in the automatic detection of railhead …

Non-destructive testing of the rails rolling surface and joints with synthetic aperture radar

M Chizh, A Zhuravlev, V Razevig… - 2020 21st International …, 2020 - ieeexplore.ieee.org
This paper explores the possibility of using a synthetic aperture radar to detect surface
defects of rails and measure parameters of rail junctions. Experimental data were obtained …

Self-Propelled Ultrasonic Rail Testing (SPURT) Car Using Ultrasonic Technique to Monitor Railway Track Defects: An Innovation Model for Indian Railway

A Wazeer, O Fomin, A Das - Journal of The Institution of Engineers (India) …, 2024 - Springer
To enhance safety measures, the Indian Railways is embracing an advanced approach to
detect track defects early and prevent derailments. This new method aims to replace the …

Environmental impact assessment of guided wave-based structural health monitoring

C Aujoux, O Mesnil - Structural Health Monitoring, 2023 - journals.sagepub.com
Guided wave-based structural health monitoring (GW-SHM) relies on permanently installed
sensors to detect and monitor structural defects such as cracks or delamination. Millimeter to …

[PDF][PDF] Sensor System for Predictive Maintenance in Industrial Environment

ACE Gonçalves - 2023 - repositorio-aberto.up.pt
In line with the Industry 4.0 Revolution, equipment maintenance is undergoing several
advancements which take advantage of the ever-increasing affordability of hardware …