Intelligent welding system technologies: State-of-the-art review and perspectives

B Wang, SJ Hu, L Sun, T Freiheit - Journal of Manufacturing Systems, 2020 - Elsevier
Welding systems are being transformed by the advent of modern information technologies
such as the internet of things, big data, artificial intelligence, cloud computing, and intelligent …

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 …

A review of vision-aided robotic welding

T Lei, Y Rong, H Wang, Y Huang, M Li - Computers in Industry, 2020 - Elsevier
Vision-aided robotic welding has been applied in the industrial field for decades. This paper
summarizes the procedures of vision-aided robotic welding. Various methods in vision …

Research and prospect of welding monitoring technology based on machine vision

X Fan, X Gao, G Liu, N Ma, Y Zhang - The International Journal of …, 2021 - Springer
Welding monitoring technology based on machine vision has been widely researched in
academic and industry, especially in the background of Industry 4.0, in that it can contribute …

In situ detection of welding defects: A review

AS Madhvacharyula, AVS Pavan, S Gorthi, S Chitral… - Welding in the …, 2022 - Springer
Weld defect detection is a crucial aspect for improving the productivity and quality of the
welding process. Several non-destructive methods exist for the identification of defects post …

Advances techniques of the structured light sensing in intelligent welding robots: a review

L Yang, Y Liu, J Peng - The International Journal of Advanced …, 2020 - Springer
With the rapid development of artificial intelligence and intelligent manufacturing, the
traditional teaching-playback mode and the off-line programming (OLP) mode cannot meet …

Feature selection and its use in big data: challenges, methods, and trends

M Rong, D Gong, X Gao - Ieee Access, 2019 - ieeexplore.ieee.org
Feature selection has been an important research area in data mining, which chooses a
subset of relevant features for use in the model building. This paper aims to provide an …

XGBoost-based on-line prediction of seam tensile strength for Al-Li alloy in laser welding: Experiment study and modelling

Z Zhang, Y Huang, R Qin, W Ren, G Wen - Journal of Manufacturing …, 2021 - Elsevier
This paper studies the regression prediction of laser welding seam strength of aluminum-
lithium alloy used in the rocket storage tank by means of the optical spectrum and extreme …

Random forest-based real-time defect detection of Al alloy in robotic arc welding using optical spectrum

Z Zhang, Z Yang, W Ren, G Wen - Journal of Manufacturing Processes, 2019 - Elsevier
Aluminum alloy of arc welding is the main technology for the key components manufacturing
in aerospace, nuclear power, ship and so on. Real-time weld defects detection is still …

Review on multi-information acquisition, defect prediction and quality control of aluminum alloy GTAW process

Y Xu, Q Liu, J Xu, R Xiao, S Chen - Journal of Manufacturing Processes, 2023 - Elsevier
The gas tungsten arc welding (GTAW) is a classic traditional welding method for aluminum
alloys. However, the strong reflection of the welding area illuminated by arc light and the …