A review on recent advances in vision-based defect recognition towards industrial intelligence

Y Gao, X Li, XV Wang, L Wang, L Gao - Journal of Manufacturing Systems, 2022 - Elsevier
In modern manufacturing, vision-based defect recognition is an essential technology to
guarantee product quality, and it plays an important role in industrial intelligence. With the …

Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature

W Cai, JZ Wang, P Jiang, LC Cao, GY Mi… - Journal of Manufacturing …, 2020 - Elsevier
Laser welding has been widely utilized in various industries. Effective real-time monitoring
technologies are critical for improving welding efficiency and guaranteeing the quality of …

Automated defect inspection system for metal surfaces based on deep learning and data augmentation

JP Yun, WC Shin, G Koo, MS Kim, C Lee… - Journal of Manufacturing …, 2020 - Elsevier
Recent efforts to create a smart factory have inspired research that analyzes process data
collected from Internet of Things (IOT) sensors, to predict product quality in real time. This …

Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding

B Zhou, T Pychynski, M Reischl, E Kharlamov… - Journal of Intelligent …, 2022 - Springer
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 …

An automatic welding defect location algorithm based on deep learning

L Yang, H Wang, B Huo, F Li, Y Liu - Ndt & E International, 2021 - Elsevier
Welding production has a pivotal role in the modern manufacturing industry. However,
welding defects are frequently generated during the complex welding production process …

Real-time penetration state monitoring using convolutional neural network for laser welding of tailor rolled blanks

Z Zhang, B Li, W Zhang, R Lu, S Wada… - Journal of Manufacturing …, 2020 - Elsevier
In this paper, an innovative monitoring system capable of diagnosing the penetration state
during the laser welding process is introduced, which consists of two main blocks: a coaxial …

Review on computer aided weld defect detection from radiography images

W Hou, D Zhang, Y Wei, J Guo, X Zhang - Applied Sciences, 2020 - mdpi.com
The weld defects inspection from radiography films is critical for assuring the serviceability
and safety of weld joints. The various limitations of human interpretation made the …

Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling

D Wu, P Zhang, Z Yu, Y Gao, H Zhang, H Chen… - Journal of Manufacturing …, 2022 - Elsevier
Laser beam welding manufacturing (LBW), being a promising joining technology with
superior capabilities of high-precision, good-flexibility and deep penetration, has attracted …

Real-time defect identification of narrow overlap welds and application based on convolutional neural networks

R Miao, Z Shan, Q Zhou, Y Wu, L Ge, J Zhang… - Journal of Manufacturing …, 2022 - Elsevier
To improve the quality of narrow overlap welds and reduce cost during the high-strength
production, it is essential to detect weld defects promptly by identification of the type of …

An automatic deep segmentation network for pixel-level welding defect detection

L Yang, S Song, J Fan, B Huo, E Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Accurate welding defect location is of great significance to modern manufacturing, which
could be used for accurate quality evaluation and precise repairing decision-making basis of …