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 …

Machine learning for intelligent welding and manufacturing systems: research progress and perspective review

S Kumar, V Gaur, CS Wu - The International Journal of Advanced …, 2022 - Springer
In the modern era, welding systems have been made smart with the inclusion of
contemporary information technologies such as intelligent manufacturing and machine …

Voronoi-Based Continuous Nearest Neighbor Search in Mobile Navigation

G Zhao, K Xuan, W Rahayu, D Taniar… - IEEE Transactions …, 2009 - ieeexplore.ieee.org
Digital ecosystems are formed by “digital organisms” in complex, dynamic, and interrelated
ecosystems and utilize multiple technologies to provide cost-efficient digital services and …

A symbolic representation approach for the diagnosis of broken rotor bars in induction motors

P Karvelis, G Georgoulas, IP Tsoumas… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
One of the most common deficiencies of currently existing induction motor fault diagnosis
techniques is their lack of automatization. Many of them rely on the qualitative interpretation …

Study on effect of electrode force on resistance spot welding process

K Zhou, L Cai - Journal of applied physics, 2014 - pubs.aip.org
This paper deals with the effect of electrode force on resistance spot welding process. As
one of the most important parameters during the process, the electrode force can influence …

Tight butt joint weld detection based on optical flow and particle filtering of magneto-optical imaging

X Gao, L Mo, D You, Z Li - Mechanical Systems and Signal Processing, 2017 - Elsevier
It is a challenge to detect the weld position during tight butt joint laser welding in that the tight
butt joint is non-grooved and invisible. This paper proposes a novel method for tight butt joint …

Machine learning methods for product quality monitoring in electric resistance welding

B Zhou - 2021 - publikationen.bibliothek.kit.edu
Abstract Electric Resistance Welding (ERW) is a group of fully automated manufacturing
processes that join metal materials through heat, which is generated due to electric current …

Principal component imagery for the quality monitoring of dynamic laser welding processes

M Jager, FA Hamprecht - IEEE Transactions on Industrial …, 2008 - ieeexplore.ieee.org
A popular technique to monitor laser welding processes is to record laser-induced plasma
radiation with a highspeed camera. The recorded sequences are analyzed using pattern …

A nonlinear current control method for resistance spot welding

K Zhou, L Cai - IEEE/ASME Transactions on Mechatronics, 2013 - ieeexplore.ieee.org
Resistance spot welding (RSW) is one of the most commonly used methods in the
manufacturing process for joining sheet metal together. This paper deals with the constant …

Sputter tracking for the automatic monitoring of industrial laser-welding processes

M Jager, S Humbert… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
The importance of laser welding in industry increases. Many welds have high-quality
demands, and one possibility to satisfy the quality requirements is to monitor the welding …