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 …
faults and defects in the railway system. Visual inspection technology is conducive to …
[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 …
wheel is periodically hitting and rolling surface defected, the defects will gradually develop …
Deep architecture for high-speed railway insulator surface defect detection: Denoising autoencoder with multitask learning
G Kang, S Gao, L Yu, D Zhang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The insulator is an important catenary component that maintains the insulation between the
catenary and earth. Due to the long-term impact of railway vehicles and the environment …
catenary and earth. Due to the long-term impact of railway vehicles and the environment …
A hierarchical extractor-based visual rail surface inspection system
Rail inspection based on visual inspection system (VIS) has drawn much attention recently,
since VIS is automatic, fast, nondestructive, and objective. However, visual rail inspection is …
since VIS is automatic, fast, nondestructive, and objective. However, visual rail inspection is …
Automatic visual detection system of railway surface defects with curvature filter and improved Gaussian mixture model
Rails are among the most important components of railway transportation, and real-time
defects detection of the railway is an important and challenging task because of intensity …
defects detection of the railway is an important and challenging task because of intensity …
Research on deep learning method for rail surface defect detection
JH Feng, H Yuan, YQ Hu, J Lin… - IET Electrical Systems …, 2020 - Wiley Online Library
Rail surface defect detection plays a critical role in the maintenance of the rail transportation
system. Video analysis technology is a promising method to detect defects due to its low cost …
system. Video analysis technology is a promising method to detect defects due to its low cost …
Learning visual similarity for inspecting defective railway fasteners
Vision-based automatic railway fastener inspection, instead of manual operation, remains a
great challenge. Even though many supervised learning-based methods have been …
great challenge. Even though many supervised learning-based methods have been …
A deep convolutional neural network for detection of rail surface defect
H Yuan, H Chen, SW Liu, J Lin… - 2019 IEEE vehicle power …, 2019 - ieeexplore.ieee.org
Railway surface defect detection is an important technical measure to ensure the safe
operation of the rail transit system. Due to the complex and diverse features of rail surface …
operation of the rail transit system. Due to the complex and diverse features of rail surface …
The automatic rail surface multi-flaw identification based on a deep learning powered framework
L Zhuang, H Qi, Z Zhang - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Rails of unhealthy conditions are considered as major targets in the rail surface inspection
and this study focuses on inspecting five types of major rail surface flaws, corrugations …
and this study focuses on inspecting five types of major rail surface flaws, corrugations …
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 …
research area. At the same time, various machine learning methods based on convolutional …