Using deep learning to detect defects in manufacturing: a comprehensive survey and current challenges
J Yang, S Li, Z Wang, H Dong, J Wang, S Tang - Materials, 2020 - mdpi.com
The detection of product defects is essential in quality control in manufacturing. This study
surveys stateoftheart deep-learning methods in defect detection. First, we classify the defects …
surveys stateoftheart deep-learning methods in defect detection. First, we classify the defects …
Surface defect detection methods for industrial products: A review
Y Chen, Y Ding, F Zhao, E Zhang, Z Wu, L Shao - Applied Sciences, 2021 - mdpi.com
The comprehensive intelligent development of the manufacturing industry puts forward new
requirements for the quality inspection of industrial products. This paper summarizes the …
requirements for the quality inspection of industrial products. This paper summarizes the …
基于深度学习的表面缺陷检测方法综述
陶显， 侯伟， 徐德 - 自动化学报, 2021 - aas.net.cn
近年来, 基于深度学习的表面缺陷检测技术广泛应用在各种工业场景中. 本文对近年来基于深度
学习的表面缺陷检测方法进行了梳理, 根据数据标签的不同将其分为全监督学习模型方法 …
学习的表面缺陷检测方法进行了梳理, 根据数据标签的不同将其分为全监督学习模型方法 …
Defect detection methods for industrial products using deep learning techniques: A review
A Saberironaghi, J Ren, M El-Gindy - Algorithms, 2023 - mdpi.com
Over the last few decades, detecting surface defects has attracted significant attention as a
challenging task. There are specific classes of problems that can be solved using traditional …
challenging task. There are specific classes of problems that can be solved using traditional …
Application of sensing technology in intelligent robotic arc welding: A review
As a traditional fusion welding method, arc welding occupies most of the total welding
production. However, the current industrial welding robots with the “teaching and playback” …
production. However, the current industrial welding robots with the “teaching and playback” …
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding
Digitalisation trends of Industry 4.0 and Internet of Things led to an unprecedented growth of
manufacturing data. This opens new horizons for data-driven methods, such as Machine …
manufacturing data. This opens new horizons for data-driven methods, such as Machine …
Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review
Q Guo, Z Yang, J Xu, Y Jiang, W Wang, Z Liu… - Robotics and Computer …, 2024 - Elsevier
Welding is a method of realizing material connections, and the development of modern
sensing technology is pushing this traditional process towards automation and intelligence …
sensing technology is pushing this traditional process towards automation and intelligence …
Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: molybdenum material
Wire arc additive manufacturing (WAAM) has received attention because of its high
deposition rate, low cost, and high material utilization. However, quality issues are critical in …
deposition rate, low cost, and high material utilization. However, quality issues are critical in …
Automated categorization of multiclass welding defects using the x-ray image augmentation and convolutional neural network
The detection of weld defects by using X-rays is an important task in the industry. It requires
trained specialists with the expertise to conduct a timely inspection, which is costly and …
trained specialists with the expertise to conduct a timely inspection, which is costly and …
Real-time sensing of gas metal arc welding process–A literature review and analysis
Welding is a major manufacturing process that joins two or more pieces of materials together
through heating/mixing them, with or without pressure, as they cool and solidify. The goal of …
through heating/mixing them, with or without pressure, as they cool and solidify. The goal of …