An Improved Target Network Model for Rail Surface Defect Detection
Applied SciencesRail surface defects typically serve as early indicators of railway malfunctions, which may compromise the quality and corrosion resistance of rails, thereby endangering the safe operation of trains. The timely detection of defects is essential to ensure
Ye Zhang +4 more
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Ensemble model for rail surface defects detection.
PLoS ONE, 2022 The detection of rail surface defects is vital for high-speed rail maintenance and management. The CNN-based computer vision approach has been proved to be a strong detection tool widely used in various industrial scenarios.
Hailang Li +5 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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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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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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An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection. [PDF]
, 2004 In light of recent accidents in the rail industry, the assessment of the mechanical integrity of rail-track is of vital importance. This encompasses the integrity of the track due to rolling contact fatigue and surface wear. Whilst numerous techniques
Mba, David, Bruzelius, Kristoffer
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Near field enhancements from angled surface defects : a comparison of scanning laser source and scanning laser detection techniques [PDF]
, 2011 Enhancement of the Rayleigh wave signal amplitude at a surface defect, due to interference of incident, reflected and mode converted waves, has been reported by several authors, and it has been suggested that this could be used as a fingerprint of the ...
Edwards, R. S. (Rachel S.) +5 more
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Adaptive noise cancelling and time–frequency techniques for rail surface defect detection [PDF]
, 2015 Adaptive noise cancelling (ANC) is a technique which is very effective to remove additive noises from the contaminated signals. It has been widely used in the fields of telecommunication, radar and sonar signal processing.
Liang, B. +11 more
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Railway wheel-flat and rail surface defect modelling and analysis by time–frequency techniques [PDF]
, 2013 Damage to the surface of railway wheels and rails commonly occurs in most railways. If not detected, it can result in rapid deterioration and possible failure of rolling stock and infrastructure components causing higher maintenance costs.
Liang, B. +7 more
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Research On Real-time Detection Algorithm Of Rail-surface Defects Based On Improved YOLOX
Journal of Applied Science and Engineering, 2022 Real-time detection of rail surface defects is an important part of the future railway automation detection. Because of rail surface defects show multi-scale, small difference between background and prospect, therefore, a improved YOLOX real-time defect ...
Yongzhi Min, Jicheng Guo, Kun Yang
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