Systematic literature review on data-driven models for predictive maintenance of railway track: Implications in geotechnical engineering

J Xie, J Huang, C Zeng, SH Jiang, N Podlich - Geosciences, 2020 - mdpi.com
Conventional planning of maintenance and renewal work for railway track is based on
heuristics and simple scheduling. The railway industry is now collecting a large amount of …

Condition monitoring of rail transport systems: A bibliometric performance analysis and systematic literature review

M Kostrzewski, R Melnik - Sensors, 2021 - mdpi.com
Condition monitoring of rail transport systems has become a phenomenon of global interest
over the past half a century. The approaches to condition monitoring of various rail transport …

Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study

X Wei, Z Yang, Y Liu, D Wei, L Jia, Y Li - Engineering Applications of …, 2019 - Elsevier
The railway track fasteners play a critical role in fixing the track on the ballast bed. Achieving
full automation of the fastener defect detection is significant in terms of ensuring track safety …

Automatic fastener classification and defect detection in vision-based railway inspection systems

H Feng, Z Jiang, F Xie, P Yang, J Shi… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
The detection of fastener defects is an important task in railway inspection systems, and it is
frequently performed to ensure the safety of train traffic. Traditional inspection is usually …

Multi-target defect identification for railway track line based on image processing and improved YOLOv3 model

X Wei, D Wei, D Suo, L Jia, Y Li - IEEE Access, 2020 - ieeexplore.ieee.org
The condition monitoring of railway track line is one of the essential tasks to ensure the
safety of the railway transportation system. Railway track line is mainly composed of tracks …

A defect detection method for rail surface and fasteners based on deep convolutional neural network

D Zheng, L Li, S Zheng, X Chai, S Zhao… - Computational …, 2021 - Wiley Online Library
As a result of long‐term pressure from train operations and direct exposure to the natural
environment, rails, fasteners, and other components of railway track lines inevitably produce …

Rail component detection, optimization, and assessment for automatic rail track inspection

Y Li, H Trinh, N Haas, C Otto… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
In this paper, we present a real-time automatic vision-based rail inspection system, which
performs inspections at 16 km/h with a frame rate of 20 fps. The system robustly detects …

Learning visual similarity for inspecting defective railway fasteners

J Liu, Y Huang, Q Zou, M Tian, S Wang… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Vision-based automatic railway fastener inspection, instead of manual operation, remains a
great challenge. Even though many supervised learning-based methods have been …

[HTML][HTML] An investigation of railway fastener detection using image processing and augmented deep learning

P Chandran, J Asber, F Thiery, J Odelius, M Rantatalo - Sustainability, 2021 - mdpi.com
The rail fastening system forms an indispensable part of the rail tracks and needs to be
periodically inspected to ensure safe, reliable and sustainable rail operations. Automated …

High-speed railway fastener detection based on a line local binary pattern

H Fan, PC Cosman, Y Hou, B Li - IEEE Signal Processing …, 2018 - ieeexplore.ieee.org
Traditional image features are not able to effectively represent railway fasteners under
varied illumination and conditions. We propose the line local binary pattern encoding …