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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 …
Non-destructive techniques (NDT) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives
It is estimated that EU cultural heritage (CH) buildings represent 30% of the total existing
stock. Nevertheless, all actions in terms of refurbishment need a deep knowledge based on …
stock. Nevertheless, all actions in terms of refurbishment need a deep knowledge based on …
[HTML][HTML] Advancements in fiber-reinforced polymer composite materials damage detection methods: Towards achieving energy-efficient SHM systems
The application of fiber-reinforced polymer (FRP) composites is continuously increasing due
to their superior mechanical properties and the associated weight advantage. However, they …
to their superior mechanical properties and the associated weight advantage. However, they …
Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review
Structural health monitoring (SHM) methods are essential to guarantee the safety and
integrity of composite structures, which are extensively utilized in aerospace, automobile …
integrity of composite structures, which are extensively utilized in aerospace, automobile …
Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review
Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …
reached their design lifetime. While contact-based measurement techniques are challenging …
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 …
Defect detection in composites by deep learning using solitary waves
This paper proposes a real-time non-destructive evaluation technique to detect defects in
laminated composites by deep learning using highly nonlinear solitary waves (HNSWs) …
laminated composites by deep learning using highly nonlinear solitary waves (HNSWs) …
Machine learning for ultrasonic nondestructive examination of welding defects: A systematic review
Recent years have seen a substantial increase in the application of machine learning (ML)
for automated analysis of nondestructive examination (NDE) data. One of the applications of …
for automated analysis of nondestructive examination (NDE) data. One of the applications of …
Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection
Detection of surface defects in manufacturing systems is crucial for product quality. Detection
of surface defects with high accuracy can prevent financial and time losses. Recently, efforts …
of surface defects with high accuracy can prevent financial and time losses. Recently, efforts …
Development of a physics-informed doubly fed cross-residual deep neural network for high-precision magnetic flux leakage defect size estimation
Defect depth is an essential indicator in magnetic flux leakage (MFL) detection and
estimation. The quantification errors for defect depth are closely related to length and width …
estimation. The quantification errors for defect depth are closely related to length and width …