Results 11 to 20 of about 1,151 (212)
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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Applied Sciences, 2022 Magnetic flux leakage (MFL) detection is a common nondestructive detection method which is usually used to detect the surface defects of steel pipes and rails.
Yinliang Jia +5 more
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Adaptive Filtering Method of MFL Signal on Rail Top Surface Defect Detection
IEEE Access, 2021 Magnetic flux leakage (MFL) detection technology provides an effective method to conduct high-speed detection of the damage suffered by rail surface.
Kailun Ji +4 more
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Rail-STrans: A Rail Surface Defect Segmentation Method Based on Improved Swin Transformer
Applied SciencesWith the continuous expansion of the transport network, the safe operation of high-speed railway rails has become a crucial issue. Defect detection on the surface of rails is a key part of ensuring the safe operation of trains.
Chenghao Si +3 more
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Unsupervised Saliency Detection of Rail Surface Defects using Stereoscopic Images [PDF]
IEEE Transactions on Industrial Informatics, 2020 Visual information is increasingly recognized as a useful method to detect rail surface defects due to its high efficiency and stability. However, it cannot sufficiently detect a complete defect in the complex background information. The addition of surface profiles can effectively improve this by including a 3-D information of defects.
Menghui Niu +5 more
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The Rail Surface Defects Recognition via Operating Service Rail Vehicle Vibrations
Machines, 2022 Rail surface defects will not only bring wheel rail noise during train operation, but also cause corresponding accidents. Most of the existing detection methods are manual detection, which is time-consuming, laborious, inefficient, and subjective.
Shubin Zheng +4 more
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YOLOv8n-RSDD: A High-Performance Low-Complexity Rail Surface Defect Detection Network
IEEE AccessDetecting surface defects on railway tracks is of significant importance for reducing the risk of safety incidents in high-speed railways. In response to the challenges in the field of railway track surface defect detection, such as insufficient ...
Zhanao Fang +5 more
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Rail Surface Defect Diagnosis Based on Image–Vibration Multimodal Data Fusion
Big Data and Cognitive ComputingTo address the challenges in existing multi-sensor data fusion methods for rail surface defect diagnosis, particularly their limitations in fully exploiting potential synergistic information among multimodal data and effectively bridging the semantic gap
Zhongmei Wang +4 more
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Rail surface defect data enhancement method based on improved ACGAN [PDF]
Frontiers in NeuroroboticsRail surface defects present a significant safety concern in railway operations. However, the scarcity of data poses challenges for employing deep learning in defect detection.
He Zhendong +4 more
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Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
CoRR, 2021 This paper presents the Rail-5k dataset for benchmarking the performance of visual algorithms in a real-world application scenario, namely the rail surface defects detection task. We collected over 5k high-quality images from railways across China, and annotated 1100 images with the help from railway experts to identify the most common 13 types of rail
Zihao Zhang +4 more
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