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Parametric Study of Anomaly Detection Models for Defect Detection in Infrared Thermography
AbstractIn the current NDT 4.0 revolution, machine learning and artificial intelligence have emerged as the major enablers for non-destructive...
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Casting-DETR: An End-to-End Network for Casting Surface Defect Detection
The task of utilizing machine vision for the detection of casting surface defects is characterized by small targets, real-time performance, and ease...
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Impact of annotation quality on model performance of welding defect detection using deep learning
The use of X-ray-based non-destructive testing (NDT) methods is widespread in the task of welding defect detection. Many scholars have turned to...
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Feature Recognition in Quadratic Frequency Modulated Thermal Wave Imaging for Subsurface Defect Detection in Fiber-Reinforced Polymers
AbstractEfficient processing and stimulation mechanisms facilitating subsurface feature analysis are of prime concern in composite inspection. Being...
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X-ray weld defect detection based on AF-RCNN
For X-ray weld defect detection, this paper proposes AF-RCNN object detection framework with the application of attention mechanism because defect...
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Debonding Defect Detection by Applying Pulsed, Lock-in and Linear Frequency Modulation Thermal Excitation Methods in the Inspection of Fiber-Reinforced Metal Laminates
AbstractFiber-reinforced metal laminates (FMLs) are characterized by excellent fatigue damage tolerance, impact resistance and easy processing, and...
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Non-Stationary Thermal Wave Mode Decomposition: A Comparative Study of EMD, HVD, and VMD for Defect Detection
AbstractFrequency coded non-stationary thermal wave imaging (NSTWI) has been evolved as viable active infrared non-destructive testing technique for...
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An Autoencoder with Convolutional Neural Network for Surface Defect Detection on Cast Components
There is unrealized potential in using automation to alleviate the visual inspection associated with non-destructive testing in manufacturing...
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Machine Vision-Based Scanning Strategy for Defect Detection in Post-Additive Manufacturing
The surge in 3D printer availability, and its applications over the past decade as an alternative to industry-standard subtractive manufacturing, has...
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Research on defect detection of media information security based on genetic algorithm
Security defect detection is a dynamic security protection technology, which can defend against internal and external attacks of network media...
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WeldNet: a lightweight deep learning model for welding defect recognition
Weld defect detection is an important task in the welding process. Although there are many excellent weld defect detection models, there is still...
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A New Method for Wellhead Device Defect Identification with Ultrasonic Signals
AbstractIn this paper, we use ultrasonic detection to study the feature extraction and pattern recognition of defects in wellhead devices and to...
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Automated defect detection in digital radiography of aerospace welds using deep learning
Aerospace welds are non-destructively evaluated (NDE) during manufacturing to identify defective parts that may pose structural risks, often using...
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Defect detection in atomic-resolution images via unsupervised learning with translational invariance
Crystallographic defects can now be routinely imaged at atomic resolution with aberration-corrected scanning transmission electron microscopy (STEM)...
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Welded Pipe Defect Detection Enhancement Using Regularized Kernel Estimation-Based Image Processing in Radiographic Testing
AbstractConfirmation of the integrity of welded pipes is of critical importance in the oil and gas industry and radiography testing (RT) is used as...
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From Point Defects to Defect Complexes
Most of the materials have dopants to create functionalities. However, due to the high demands on material functionality in cutting-edge devices, the...
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Non-destructive evaluation of the friction stir welding process, generalizing a deep neural defect detection network to identify internal weld defects across different aluminum alloys
Friction stir welding (FSW) is a solid-state welding process, which has significantly disrupted welding technology particularly for aluminum alloy...
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Defect Analysis in Compressor Vanes Using Split Bregman Noise-Reduced Digital Industrial Radiography
AbstractDetection and analysis of defects in the vanes of centrifugal compressors are invaluable as part of routine quality control and preventative...
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Semi-Automatic Defect Distinction of PAUT for High Strength Steel Corner Structure
AbstractIn this study, A GCN distinction network is proposed to identify the defect status of steel corner structures. In this defect determination...
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Comparison of Outdoor and Indoor PL and EL Images in Si Solar Cells and Panels for Defect Detection and Classification
Nowadays, silicon solar plants consist of hundreds of thousands of panels. The detection and characterization of solar cell defects, particularly...
