Results 1 to 10 of about 737,027 (223)
Detection of Rail Defects Using NDT Methods. [PDF]
Sensors (Basel), 2023 The rapid development of high-speed and heavy-haul railways caused rapid rail defects and sudden failure. This requires more advanced rail inspection, i.e., real-time accurate identification and evaluation for rail defects. However, existing applications
Xiong L, Jing G, Wang J, Liu X, Zhang Y.
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On the Use of Microwave Holography to Detect Surface Defects of Rails and Measure the Rail Profile
Sensors, 2019 The use of microwave holography for detecting rail surface defects is considered in this paper. A brief review of available sources on radar methods for detecting defects on metal surfaces and rails is given.
Andrey Zhuravlev +4 more
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Deep Learning (Fast R-CNN)-Based Evaluation of Rail Surface Defects
Applied SciencesIn current railway rails, trains are propelled by the rolling contact between iron wheels and iron rails, and the high frequency of train repetition on rails results in a significant load exertion on a very small area where the wheel and rail come into ...
Jung-Youl Choi, Jae-Min Han
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Codiing system for rail defects in accordance with IRS 70712 [PDF]
Tehnika, 2021 Rail defects due to the rolling contact fatigue have a significant place in the Handbook of Rail Defects in the framework of UIC Code 712 in 2002. The paper presents the system for coding and classification of rail defects according to UIC recommendation
Popović Zdenka J. +3 more
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Research on steel rail surface defects detection based on improved YOLOv4 network
Frontiers in Neurorobotics, 2023 IntroductionThe surface images of steel rails are extremely difficult to detect and recognize due to the presence of interference such as light changes and texture background clutter during the acquisition process.MethodsTo improve the accuracy of ...
Zengzhen Mi, Ren Chen, Shanshan Zhao
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Rail Surface Defect Detection Based on An Improved YOLOv5s
Applied Sciences, 2023 As the operational time of the railway increases, rail surfaces undergo irreversible defects. Once the defects occur, it is easy for them to develop rapidly, which seriously threatens the safe operation of trains.
Hui Luo, Lianming Cai, Chenbiao Li
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Detection of Surface Defects on Railway Tracks Based on Deep Learning
IEEE Access, 2022 The detection of rail surface defects is very important in railway transportation. However, the edge defects on both sides of the rail and the multi-scale variation between different types of defects both pose challenges to the detection of rail surface ...
Maoli Wang +3 more
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An Improved Feature Pyramid Network and Metric Learning Approach for Rail Surface Defect Detection
Applied Sciences, 2023 When deep learning methods are used to detect rail surface defects, the training accuracy declines due to small defects and an insufficient number of samples.
Zhendong He +4 more
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Technical requirements for the selection of rail grades [PDF]
Tehnika, 2022 The most common types of rail defects on modern railway lines occur due to the rolling contact fatigue of rail steel. One of the methods to slow down the development of these rail defects is the application of new steel grades with increased hardness in ...
Popović Zdenka J. +2 more
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UAVs in rail damage image diagnostics supported by deep-learning networks
Open Engineering, 2021 The article uses images from Unmanned Aerial Vehicles (UAVs) for rail diagnostics. The main advantage of such a solution compared to traditional surveys performed with measuring vehicles is the elimination of decreased train traffic.
Bojarczak Piotr, Lesiak Piotr
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