[HTML][HTML] Damage characterization of laminated composites using acoustic emission: A review
M Saeedifar, D Zarouchas - Composites Part B: Engineering, 2020 - Elsevier
Damage characterization of laminated composites has been thoroughly studied the last
decades where researchers developed several damage models, and in combination with …
decades where researchers developed several damage models, and in combination with …
Infrared machine vision and infrared thermography with deep learning: A review
Infrared imaging-based machine vision (IRMV) is the technology used to automatically
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …
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 …
Automatic defects detection in CFRP thermograms, using convolutional neural networks and transfer learning
Recent advancements in the field of Artificial Intelligence can support the post-processing of
thermographic data, efficiently, especially for nonlinear or complex thermography scanning …
thermographic data, efficiently, especially for nonlinear or complex thermography scanning …
Deep learning for defect characterization in composite laminates inspected by step-heating thermography
This paper presents a complete procedure for the non-destructive analysis of composite
laminates, taking advantage of the step-heating infrared thermography and the latest …
laminates, taking advantage of the step-heating infrared thermography and the latest …
Explainable artificial intelligence prediction of defect characterization in composite materials
Non-destructive evaluation (NDE) techniques are integral across diverse applications for
void detection within composites. Infrared (IR) thermography (IRT) is a prevalent NDE …
void detection within composites. Infrared (IR) thermography (IRT) is a prevalent NDE …
A deep learning method for the impact damage segmentation of curve-shaped cfrp specimens inspected by infrared thermography
Advanced materials such as continuous carbon fiber-reinforced thermoplastic (CFRP)
laminates are commonly used in many industries, mainly because of their strength, stiffness …
laminates are commonly used in many industries, mainly because of their strength, stiffness …
[HTML][HTML] Enhanced thermographic inspection of woven fabric composites by k-space filtering
G Poelman, S Hedayatrasa, W Van Paepegem… - Composites Part B …, 2023 - Elsevier
Infrared thermography is a well-known non-destructive testing technique for detecting
defects in unidirectional fiber reinforced polymer laminates. When applied to woven fabric …
defects in unidirectional fiber reinforced polymer laminates. When applied to woven fabric …
Critical insights into the state‐of‐the‐art NDE data fusion techniques for the inspection of structural systems
W Nsengiyumva, S Zhong, M Luo… - Structural Control and …, 2022 - Wiley Online Library
In recent years, the demand for reliable and accurate nondestructive evaluation (NDE) of
structural systems has been growing and several nondestructive testing (NDT) techniques …
structural systems has been growing and several nondestructive testing (NDT) techniques …
[HTML][HTML] Depth classification of defects in composite materials by long-pulsed thermography and blind linear unmixing
R Marani, DU Campos-Delgado - Composites Part B: Engineering, 2023 - Elsevier
This paper presents the automatic analysis of surface thermograms in response to a long-
pulsed thermography inspection to classify buried defects in composite materials. Time …
pulsed thermography inspection to classify buried defects in composite materials. Time …