Results 191 to 200 of about 1,151 (212)
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Excitation of Surface Wave Modes in Rails and their Application for Defect Detection
AIP Conference Proceedings, 2006Surface waves could provide a more reliable and efficient alternative to conventional ultrasonic rail inspection for the detection of surface cracks. In this work, suitable guided wave modes have been efficiently excited by using a phased array probe in conjunction with a spatial averaging method to enhance the signal‐to‐noise‐ratio.
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Online detection of character and 3D surface defect in steel rail production
2022 4th International Conference on Pattern Recognition and Intelligent Systems, 2022Wei Gan +5 more
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Self-Supervised Defect Representation Learning for Label-Limited Rail Surface Defect Detection
IEEE Sensors Journal, 2023Yanggang Xu, Huan Wang, Zhiliang Liu
exaly
Detection of Fastener and Rail Surface Defects with Deep Learning
2023Merve Yilmazer, Mehmet Karakose
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CUFuse: Camera and Ultrasound Data Fusion for Rail Defect Detection
IEEE Transactions on Intelligent Transportation Systems, 2022Zhengxing Chen, Qihang Wang, Qing He
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MRSDI-CNN: Multi-Model Rail Surface Defect Inspection System Based on Convolutional Neural Networks
IEEE Transactions on Intelligent Transportation Systems, 2022Hui Zhang, Yurong Chen, Hang Zhong
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RSD-YOLO：A Lightweight Model for Rail Surface Defect Detection
With the rapid development of the railway industry, ensuring the operational safety of railways places increasingly stringent demands on the efficiency and accuracy of rail surface defect detection. To address the low efficiency of traditional inspection methods and the imbalance between computational complexity, model lightweighting, and detection ...Shizheng Sun +3 more
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Research on deep learning method for rail surface defect detection
IET Electrical Systems in Transportation, 2020Hao Yuan, Xiao Luo
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Rail wheel tread defect detection using improved YOLOv3
Measurement: Journal of the International Measurement Confederation, 2022Zongyi Xing, Xiaowen Yao, Yong Qin
exaly