On-Line High-Speed Rail Defect Detection [Research Results]
US Transportation Collection2008PDFTech ReportLanza di Scalea, FrancescoCoccia, StefanoBartoli, IvanSalamone, S.Phillips, R.Rizzo, PiervincenzoFateh, MahmoodCarr, GaryUniversity of California, San DiegoUnited States.
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High precision classification of hot rolled strip steel surface defects using dual path features and entropy attention fusion. [PDF]
Wang Y, Lu Y, Zhu F, Du G, Li Z.
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A Physics-Guided Quantitative GPR Framework for Detecting Hanging Sleepers in Ballasted Railway Tracks. [PDF]
Yang W, Gao J, Xu Z.
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Practical Application of Passive Air-Coupled Ultrasonic Acoustic Sensors for Wheel Crack Detection. [PDF]
Shaju A +4 more
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Assessment model for multivariable fatigue performance of EA4T axles containing defects : <sup>a</sup> School of mechanical Engineering, Chengdu University, Chengdu 610,106, China. [PDF]
Luo Y, Li G, Qi C, Li C, Hu Y.
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Automated Periosteal Distraction for Limb Salvage in Diabetic Foot Ulcers With Chronic Limb-Threatening Ischemia (Brief Communication). [PDF]
Feraru LM, Tan TW, Armstrong DG.
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Nonlinear Ultrasonic Time-Domain Identification Based on Chaos Sensitivity and Its Application to Fatigue Detection of U71Mn Rail Steels. [PDF]
Li H +5 more
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Review of Non-Destructive Testing for Wind Turbine Bolts. [PDF]
Sun H +8 more
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Application of YOLO11 Model with Spatial Pyramid Dilation Convolution (SPD-Conv) and Effective Squeeze-Excitation (EffectiveSE) Fusion in Rail Track Defect Detection. [PDF]
Zhu W, Han X, Zhang K, Lin S, Jin J.
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Automatic 3D railroad alignment detection using modified Hough transform. [PDF]
Lee J, Park J, Shin H, Yoon H.
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