MicrocrackAttentionNext: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks Through Feature Visualization. [PDF]
Sensors (Basel)Moreh F +5 more
europepmc +1 more source
Non-Destructive Testing and Evaluation of Hybrid and Advanced Structures: A Comprehensive Review of Methods, Applications, and Emerging Trends. [PDF]
Sensors (Basel)Abdollahi-Mamoudan F +2 more
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Application of Object Detection Algorithms in Non-Destructive Testing of Pressure Equipment: A Review. [PDF]
Sensors (Basel)Wang W, Chen J, Han G, Shi X, Qian G.
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A Multivariate Linear Regression-Based Ultrasonic Non-Destructive Evaluating Method for Characterizing Weld Tensile Strength Properties. [PDF]
Materials (Basel)Chi D, Wang Z, Liu H.
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Detection of Imperfections in Welded Joints Using the Time-of-Flight-Diffraction Technique (TOFD)
Biuletyn Instytutu Spawalnictwa, 2016 Karol Kaczmarek +3 more
openaire +2 more sources
Research on geometric parameter quantification of rail rolling contact fatigue crack damage based on 2D optical image. [PDF]
Sci RepWang Y, Miao B, Zhang Y, Huang Z.
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Improvement of EMAT Butterfly Coil for Defect Detection in Aluminum Alloy Plate. [PDF]
Materials (Basel)Chi D, Sun G, Liu H.
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Systematic Evaluation of Ultrasonic In-Line Inspection Techniques for Oil and Gas Pipeline Defects Based on Bibliometric Analysis. [PDF]
Sensors (Basel)Huang J +6 more
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Literature Review: Theory and Application of In-Line Inspection Technologies for Oil and Gas Pipeline Girth Weld Defection. [PDF]
Sensors (Basel), 2016 Feng Q +5 more
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Ultrasound data for laboratory calibration of an analytical model to calculate crack depth on asphalt pavements. [PDF]
Data Brief, 2017 Franesqui MA +2 more
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