IEEE AccessUnder high-intensity rail operations, rail tracks endure considerable stresses resulting in various defects such as corrugation and spellings. Failure to effectively detect defects and provide maintenance in time would compromise service reliability and ...
Jiayi Zhao +4 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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On the Use of Microwave Holography to Detect Surface Defects of Rails and Measure the Rail Profile [PDF]
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. An experimental setup consisting of a two-coordinate electromechanical scanner and a radar with stepped frequency signal in the range from 22.2 ...
Andrey V. Zhuravlev +4 more
openaire +3 more sources
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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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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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
core +1 more source
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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