State of the art in defect detection based on machine vision

Z Ren, F Fang, N Yan, Y Wu - International Journal of Precision …, 2022 - Springer
Abstract Machine vision significantly improves the efficiency, quality, and reliability of defect
detection. In visual inspection, excellent optical illumination platforms and suitable image …

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 …

Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review

Y Liu, L Guo, H Gao, Z You, Y Ye, B Zhang - Mechanical Systems and …, 2022 - Elsevier
Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …

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 …

Advanced welding manufacturing: a brief analysis and review of challenges and solutions

YM Zhang, YP Yang, W Zhang… - Journal of …, 2020 - asmedigitalcollection.asme.org
Welding is a major manufacturing process that joins two or more pieces of materials together
through heating/mixing them followed by cooling/solidification. The goal of welding …

Deep learning-based welding image recognition: A comprehensive review

T Liu, P Zheng, J Bao - Journal of Manufacturing Systems, 2023 - Elsevier
The reliability and accuracy of welding image recognition (WIR) is critical, which can largely
improve domain experts' insight of the welding system. To ensure its performance, deep …

A convolutional approach to quality monitoring for laser manufacturing

C Gonzalez-Val, A Pallas, V Panadeiro… - Journal of Intelligent …, 2020 - Springer
The extraction of meaningful features from the monitoring of laser processes is the
foundation of new non-destructive quality inspection methods for the manufactured pieces …

Cross-attention-based multi-sensing signals fusion for penetration state monitoring during laser welding of aluminum alloy

L Cao, J Li, L Zhang, S Luo, M Li, X Huang - Knowledge-Based Systems, 2023 - Elsevier
A precision multi-sensor monitoring strategy is required to meet the challenges posed by
increasingly complex products and manufacturing processes during laser welding. In this …

Smart manufacturing real-time analysis based on blockchain and machine learning approaches

Z Shahbazi, YC Byun - Applied Sciences, 2021 - mdpi.com
The growth of data production in the manufacturing industry causes the monitoring system to
become an essential concept for decision-making and management. The recent powerful …

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 …