Overview of the application of ground-penetrating radar, laser, infrared thermal imaging, and ultrasonic in nondestructive testing of road surface
X Yang, R Huang, Y Meng, J Liang, H Rong, Y Liu… - Measurement, 2024 - Elsevier
Developments in the field of nondestructive testing (NDT) for road surfaces have gained
substantial momentum owing to its advantages of noninvasiveness, and intelligent. This …
substantial momentum owing to its advantages of noninvasiveness, and intelligent. This …
Latest advances in common signal processing of pulsed thermography for enhanced detectability: A review
Y Chung, S Lee, W Kim - Applied Sciences, 2021 - mdpi.com
Non-destructive testing (NDT) is a broad group of testing and analysis techniques used in
science and industry to evaluate the properties of a material, structure, or system for …
science and industry to evaluate the properties of a material, structure, or system for …
Introduction of the combination of thermal fundamentals and Deep Learning for the automatic thermographic inspection of thermal bridges and water-related problems …
Infrastructure inspection is fundamental to keep its service performance at the highest level.
For that, special attention should be paid to the most severe defects in order to be able to …
For that, special attention should be paid to the most severe defects in order to be able to …
A flexible deep learning framework for thermographic inspection of composites
Infrared thermography (IRT) is a promising inspection technique, showing good defect
detectability in a range of materials. To advance the IRT inspection technique, automated …
detectability in a range of materials. To advance the IRT inspection technique, automated …
Multi-Task Learning of Scanning Electron Microscopy and Synthetic Thermal Tomography Images for Detection of Defects in Additively Manufactured Metals
One of the key challenges in laser powder bed fusion (LPBF) additive manufacturing of
metals is the appearance of microscopic pores in 3D-printed metallic structures. Quality …
metals is the appearance of microscopic pores in 3D-printed metallic structures. Quality …
Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review
Corrosion under insulations is described as localized corrosion that forms because of
moisture penetration through the insulation materials or due to contaminants' presence …
moisture penetration through the insulation materials or due to contaminants' presence …
Independent component analysis applied on pulsed thermographic data for carbon fiber reinforced plastic inspection: a comparative study
Dimensional reduction methods have significantly improved the simplification of Pulsed
Thermography (PT) data while improving the accuracy of the results. Such approaches …
Thermography (PT) data while improving the accuracy of the results. Such approaches …
Pulsed thermography dataset for training deep learning models
Pulsed thermography is an indispensable tool in the field of non-destructive evaluation.
However, the data generated by this technique can be challenging to analyze and require …
However, the data generated by this technique can be challenging to analyze and require …
Synthetic data for defect segmentation on complex metal surfaces
Metal defect segmentation poses a great challenge for automated inspection systems due to
the complex light reflection from the surface and lack of training data. In this work we …
the complex light reflection from the surface and lack of training data. In this work we …
Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks
Many “Industry 4.0” applications rely on data-driven methodologies such as Machine
Learning and Deep Learning to enable automatic tasks and implement smart factories …
Learning and Deep Learning to enable automatic tasks and implement smart factories …