Results 11 to 20 of about 536,878 (225)
The marginal social cost of road and rail: Implications for rail investment and pricing [PDF]
, 1995 An important issue for transport policy is whether more investment should be devoted to rail schemes and less to road schemes and vice versa. This raises the problem of comparing the returns from investments in the two modes currently assessed on a ...
Al-Tony, Fathy El-Sayed
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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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Detection of Rail Defects Using NDT Methods
Sensors, 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
Longhui Xiong +4 more
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Research on a Rail Defect Location Method Based on a Single Mode Extraction Algorithm
Applied Sciences, 2019 This paper proposes a rail defect location method based on a single mode extraction algorithm (SMEA) of ultrasonic guided waves. Simulation analysis and verification were conducted.
Bo Xing +4 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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A Review of NDT Methods for Wheel Burn Detection on Rails
Sensors, 2023 Wheel burn can affect the wheel–rail contact state and ride quality. With long-term operation, it can cause rail head spalling or transverse cracking, which will lead to rail breakage.
Yanbo Zhang +4 more
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Chinese Journal of Mechanical Engineering, 2023 Improving the detection accuracy of rail internal defects and the generalization ability of detection models are not only the main problems in the field of defect detection but also the key to ensuring the safe operation of high-speed trains.
Fupei Wu, Xiaoyang Xie, Weilin Ye
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Feature Augmentation Based on Pixel-Wise Attention for Rail Defect Detection
Applied Sciences, 2022 Image-based rail defect detection could be conceptually defined as an object detection task in computer vision. However, unlike academic object detection tasks, this practical industrial application suffers from two unique challenges, including object ...
Hongjue Li +5 more
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A Cascaded Defect Detection Algorithm for Track Components
Kongzhi Yu Xinxi Jishu, 2022 Track component defect detection has long faced the problem of scarcity of defect samples. In the case of insufficient defect samples, the existing deep learning methods are prone to overfitting the model, and the generalization performance is poor ...
LIN Jun +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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