An overview of corrosion defect characterization using active infrared thermography
Corrosion is considered a destructive phenomenon that affects almost all metals. There is a
variety of corrosion monitoring and measurement techniques being deployed across …
variety of corrosion monitoring and measurement techniques being deployed across …
Progress and comparison in nondestructive detection, imaging and recognition technology for defects of wafers, chips and solder joints
T Fang, J An, Q Chen, Y He, H Wang… - … Testing and Evaluation, 2024 - Taylor & Francis
As an essential part of integrated circuit, chip manufacturing has increasingly demanding
requirements for quality, cost and others. Some technical limitations and the development …
requirements for quality, cost and others. Some technical limitations and the development …
Deep learning–based autonomous concrete crack evaluation through hybrid image scanning
This article proposes a deep learning–based autonomous concrete crack detection
technique using hybrid images. The hybrid images combining vision and infrared …
technique using hybrid images. The hybrid images combining vision and infrared …
Defect identification in composite materials via thermography and deep learning techniques
Composite materials are widely used in aircraft, vehicle, and various industries due to their
excellent mechanical properties. A thermography-based nondestructive test is often …
excellent mechanical properties. A thermography-based nondestructive test is often …
Progress in active infrared imaging for defect detection in the renewable and electronic industries
X Zhao, Y Zhao, S Hu, H Wang, Y Zhang, W Ming - Sensors, 2023 - mdpi.com
In recent years, infrared thermographic (IRT) technology has experienced notable
advancements and found widespread applications in various fields, such as renewable …
advancements and found widespread applications in various fields, such as renewable …
Application of deep neural network learning in composites design
A timely review is presented on artificial intelligence (AI) and, more specifically, deep
learning, which is a subfield of machine learning (ML), applied to the design and behaviour …
learning, which is a subfield of machine learning (ML), applied to the design and behaviour …
Silicon wafer crack detection using nonlinear ultrasonic modulation induced by high repetition rate pulse laser
In this study, a high repetition rate laser ultrasonic system is developed for noncontact
detection of silicon wafer crack. A high repetition rate pulse laser is used to generate two …
detection of silicon wafer crack. A high repetition rate pulse laser is used to generate two …
Enhanced truncated-correlation photothermal coherence tomography with application to deep subsurface defect imaging and 3-dimensional reconstructions
P Tavakolian, K Sivagurunathan… - Journal of Applied …, 2017 - pubs.aip.org
Photothermal diffusion-wave imaging is a promising technique for non-destructive
evaluation and medical applications. Several diffusion-wave techniques have been …
evaluation and medical applications. Several diffusion-wave techniques have been …
Remote inspection of surface cracks in metallic structures with fiber-guided laser array spots thermography
In this work, a fiber-guided laser array spots thermography (LAST) system with good
flexibility is proposed for the inspection of surface cracks in metallic structural objects with …
flexibility is proposed for the inspection of surface cracks in metallic structural objects with …
Thermal monitoring and deep learning approach for early warning prediction of rock burst in underground structures
M Jaiswal, R Sebastian… - Journal of Physics D …, 2023 - iopscience.iop.org
The occurrence of rockburst has the potential to result in significant economic and human
losses in underground mining and excavation operations. The accuracy of traditional …
losses in underground mining and excavation operations. The accuracy of traditional …