FS-RSDD: Few-Shot Rail Surface Defect Detection with Prototype Learning [PDF]
Sensors, 2023 As an important component of the railway system, the surface damage that occurs on the rails due to daily operations can pose significant safety hazards.
Yongzhi Min +3 more
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A 3D Laser Profiling System for Rail Surface Defect Detection [PDF]
Sensors, 2017 Rail surface defects such as the abrasion, scratch and peeling often cause damages to the train wheels and rail bearings. An efficient and accurate detection of rail defects is of vital importance for the safety of railway transportation. In the past few
Zhimin Xiong +3 more
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RSDNet: A New Multiscale Rail Surface Defect Detection Model [PDF]
SensorsThe rapid and accurate identification of rail surface defects is critical to the maintenance and operational safety of the rail. For the problems of large-scale differences in rail surface defects and many small-scale defects, this paper proposes a rail ...
Jingyi Du +4 more
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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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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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Non-Destructive Testing Technology for Shallow Subsurface Defects in Rails: A Review with Focus on Ultrasonic Surface Wave Methods [PDF]
SensorsWith increasing rail traffic intensity, reliable detection of shallow subsurface rail damage is essential for operational safety. This critical narrative review evaluates non-destructive testing technologies relevant to defects whose active crack front ...
Tianyu Song +5 more
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Natural Rail Surface Defect Inspection and Analysis Using 16-Channel Eddy Current System
Applied Sciences, 2021 Trains are used as the fastest mode of transportation for both people and cargo. The train moves along a special path called “rail”, where fatigue can be accumulated due to wheel-rail contact load as a result of continuous train operation. Consistent and
Se-Gon Kwon +4 more
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Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion [PDF]
SensorsRail surface defects pose significant risks to the operational efficiency and safety of industrial equipment. Traditional visual defect detection methods typically rely on high-quality RGB images; however, they struggle in low-light conditions due to ...
Yucheng Pan +5 more
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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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A Study on Railway Surface Defects Detection Based on Machine Vision
Entropy, 2021 The detection of rail surface defects is an important tool to ensure the safe operation of rail transit. Due to the complex diversity of track surface defect features and the small size of the defect area, it is difficult to obtain satisfying detection ...
Tangbo Bai +3 more
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