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Defect length estimation of rolling element bearings via adaptive separation of dual-impulse
Dual-impulse responses are characteristic phenomenon of rolling element bearings with a defect, which can be utilized to quantify the defect length...
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Automated Welding Defect Detection using Point-Rend ResUNet
In the field of welding inspection, radiographic non-destructive evaluation (NDE) is a widely used technique for detecting defects in welds. However,...
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Industrial product surface defect detection via the fast denoising diffusion implicit model
In the age of intelligent manufacturing, surface defect detection plays a pivotal role in the automated quality control of industrial products,...
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Software defect prediction using global and local models
There are certain crucial areas that require attention in the field of software defect prediction, even after extensive research. One of these issues...
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FDD: a deep learning–based steel defect detectors
Surface defects are a common issue that affects product quality in the industrial manufacturing process. Many companies put a lot of effort into...
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Rail Surface Defect Detection and Severity Analysis Using CNNs on Camera and Axle Box Acceleration Data
Rail surface defect detection is a relevant problem in the field of data-driven railway maintenance. Artificial intelligence and neural networks (NN)...
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Software Defect Prediction: An ML Approach-Based Comprehensive Study
Software testing is a vital phase in the software development life cycle. Testing validates a developed software against the input test cases by...
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A real-time and accurate convolutional neural network for fabric defect detection
As a practical and challenging task, deep learning-based methods have achieved effective results for fabric defect detection, however, most of them...
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Bayesian Modelling and Uncertainty Analysis for Wire Rope Defect Signal Recognition
Steel wire rope is usually operating under the sophisticated servicing conditions in various practical application fields, which is playing a...
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DFFNet: a lightweight approach for efficient feature-optimized fusion in steel strip surface defect detection
Steel surface defect detection is crucial in manufacturing, but achieving high accuracy and real-time performance with limited computing resources is...
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Deep Learning-Based Silicon Wafer Defect Classification: A Performance Comparison of Pretrained Networks
Semiconductor processing technology heavily relies on defect inspection to enhance yield by identifying surface defects in the manufacturing process....
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Machine Learning Support for Logic Diagnosis and Defect Classification
Innovative manufacturing processes allow the integration of billions of transistors into a single chip, and the implementation of extremely dense...
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LGP-YOLO: an efficient convolutional neural network for surface defect detection of light guide plate
Light guide plate (LGP) is a key component of liquid crystal display (LCD) display systems, so its quality directly affects the display effect of...
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Machine Learning and Deep Networks for Additive Wafer Defect Detection: A Concise Study
The mounting demand to maintain wafer quality has made defect identification a critical phase in the chipmaking process. With smaller feature sizes,...
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DLF-YOLOF: an improved YOLOF-based surface defect detection for steel plate
Surface defects can affect the quality of steel plate. Many methods based on computer vision are currently applied to surface defect detection of...
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FDR Cable Defect Detection Method Based on Attenuation Compensation
A cable defect detection method based on attenuation compensation is proposed to address the current issue of frequency domain reflection (FDR)...
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A Review of Transmission Line Defect Detection Based on Deep Learning Object Detection Techniques
With the advantages of easy-to-carry, simple operation, rapid response, and low environmental requirements, UAVs have become increasingly prevalent...
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PCB Defect Detection Algorithm Based on Multi-scale Fusion Network
PCB defect detection is a crucial link for the production of PCB board, in order to pursue the yield, the production chain must ensure that there is...
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EEMNet: an end-to-end efficient model for PCB surface tiny defect detection
The miniaturization of electronic products has led to the denser and more crowded wiring on printed circuit boards (PCBs), which has made PCB defects...
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Yolo-sd: simulated feature fusion for few-shot industrial defect detection based on YOLOv8 and stable diffusion
Defect detection from images, an important application in the development of the industrial internet, has been gaining increasing attention due to...
