A review of applications of visual inspection technology based on image processing in the railway industry

S Liu, Q Wang, Y Luo - Transportation Safety and Environment, 2019 - academic.oup.com
In order to ensure the safety of railway transportation, it is necessary to regularly check for
faults and defects in the railway system. Visual inspection technology is conducive to …

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 …

SCueU-Net: Efficient damage detection method for railway rail

J Lu, B Liang, Q Lei, X Li, J Liu, J Liu, J Xu… - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic detection of industrial product damage using machine learning is a promising
research area. At the same time, various machine learning methods based on convolutional …

A new rail inspection method based on deep learning using laser cameras

Y Santur, M Karaköse, E Akin - 2017 International Artificial …, 2017 - ieeexplore.ieee.org
Rail systems are one of the most important transportation methods used in today's world.
The abnormalities that occur on railway tracks due to various causes result in breakdowns …

Rail defect detection and classification with real time image processing technique

C Tastimur, H Yetis, M Karaköse… - International Journal of …, 2016 - search.proquest.com
Rail defect detection has a great importance for railway transportation. Because faults on the
rails cause to problems such as the cost, the disruption of transportation and the safety. In …

A review of NDT methods for wheel burn detection on rails

Y Zhang, X Liu, L Xiong, Z Chen, J Wei - Sensors, 2023 - mdpi.com
Wheel burn can affect the wheel–rail contact state and ride quality. With long-term operation,
it can cause rail head spalling or transverse cracking, which will lead to rail breakage. By …

Railway joint detection using deep convolutional neural networks

Y Sun, Y Liu, C Yang - 2019 IEEE 15th International …, 2019 - ieeexplore.ieee.org
Railway maintenance is crucial to the safety and efficiency of railway operation. Condition
monitoring of railway infrastructure has become more and more important that railway …

A vision based diagnosis approach for multi rail surface faults using fuzzy classificiation in railways

O Yaman, M Karakose, E Akin - 2017 International Conference …, 2017 - ieeexplore.ieee.org
The heavy construction of railway transportation vehicles is affecting the transportation route.
The rail line, which is made with great care, can be damaged by the movements of freight …

Demiryolu ray ve kusurlarını tespit etmek için geliştirilen iki yeni yöntem

A Çelik - Demiryolu Mühendisliği, 2020 - dergipark.org.tr
Raylı sistem araçları günümüzde çok yaygın kullanılmaktadır. Bu yaygın kullanımın nedeni,
en güvenli yolcu ve yük taşıma aracı olmasından kaynaklanmaktadır. Bu güvenilirliğin …

[PDF][PDF] Deep learning based artificial manager for smart city

Y Santur, E Karaköse, M Karaköse… - … Conference on Advanced …, 2017 - researchgate.net
Nowadays, deep learning is commonly used in many areas such as natural language
processing, data mining, image processing and interpretation. The use of technology in city …