Results 141 to 150 of about 357 (162)
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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
CUFuse: Camera and Ultrasound Data Fusion for Rail Defect Detection
IEEE Transactions on Intelligent Transportation Systems, 2022Zhengxing Chen, Qihang Wang, Qing He
exaly
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
exaly
Rail Defect Detection Using Ultrasonic A-Scan Data and Deep Autoencoder
Transportation Research Record, 2023Yuning Wu, Xuan Zhu
exaly
Train rail defect classification detection and its parameters learning method
Measurement: Journal of the International Measurement Confederation, 2020Fupei Wu
exaly
Digital Twin of Rail for Defect Analysis
2024 the 8th International Conference on Virtual and Augmented Reality Simulations (ICVARS)Waqas Ahmad, Marcel Mutz, Dirk Werth
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Prediction of rail defect development using parametric bootstrapping modified Weibull equations
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2022Allan M Zarembski, Joseph W Palese
exaly
The principles of treatment of railways rails defects
2006Increases in railway traffic, heavier axleloads, higher speeds and introduction of new generations of rolling stock have increased the loads on rails in curves especially. Most railways today opt as standard equipment for their track steel grades 260 (R0900A) and to a very limited degree 260Mn (R0900B).
Vitez, Ivan +2 more
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