[HTML][HTML] A literature review of Artificial Intelligence applications in railway systems

R Tang, L De Donato, N Besinović, F Flammini… - … Research Part C …, 2022‏ - Elsevier
Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …

A review on deep learning applications in prognostics and health management

L Zhang, J Lin, B Liu, Z Zhang, X Yan, M Wei - Ieee Access, 2019‏ - ieeexplore.ieee.org
Deep learning has attracted intense interest in Prognostics and Health Management (PHM),
because of its enormous representing power, automated feature learning capability and best …

[HTML][HTML] Point cloud semantic segmentation of complex railway environments using deep learning

J Grandio, B Riveiro, M Soilán, P Arias - Automation in Construction, 2022‏ - Elsevier
Safety of transportation networks is of utmost importance for our society. With the emergency
of digitalization, the railway sector is accelerating the automation in inventory and inspection …

MRSDI-CNN: Multi-model rail surface defect inspection system based on convolutional neural networks

H Zhang, Y Song, Y Chen, H Zhong… - IEEE Transactions …, 2021‏ - ieeexplore.ieee.org
Defects on rail surfaces, which have become critical problems, need to be detected and
removed as quickly as possible to ensure the fast, safe, and stable operation of trains. At …

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 …

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

J **e, 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 …

[PDF][PDF] A review of research on detection and evaluation of the rail surface defects

L Kou - Acta Polytech. Hung, 2022‏ - acta.uni-obuda.hu
Defects on the rail surface will hasten the wear of the wheels. At the same time, when the
wheel is periodically hitting and rolling surface defected, the defects will gradually develop …

Nondestructive testing technologies for rail inspection: A review

W Gong, MF Akbar, GN Jawad, MFP Mohamed… - Coatings, 2022‏ - mdpi.com
Alongside the development of high-speed rail, rail flaw detection is of great importance to
ensure railway safety, especially for improving the speed and load of the train. Several …

Detection of rail defects using NDT methods

L **ong, G **g, J Wang, X Liu, Y Zhang - Sensors, 2023‏ - mdpi.com
The rapid development of high-speed and heavy-haul railways caused rapid rail defects and
sudden failure. This requires more advanced rail inspection, ie, real-time accurate …

Specificity autocorrelation integration network for surface defect detection of no-service rail

Y Yan, X Jia, K Song, W Cui, Y Zhao, C Liu… - Optics and Lasers in …, 2024‏ - Elsevier
Rails are critical to the safe transportation of railway system, and their surface quality is a
vital aspect to consider. Existing defect detection methods struggle to identify irregular defect …