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 …

Key Technologies and Research Progress in Robotic Arc Additive Remanufacturing

K Yuan, Y Xu, X Wang, X Ma, Q Wang… - Sensors and Actuators A …, 2024 - Elsevier
Robotic arc additive remanufacturing utilizes the same technology methods as wire arc
additive manufacturing to repair and restore worn parts and components. It holds immense …

Towards data-driven quality monitoring for advanced metal inert gas welding processes in body-in-white

M Luttmer, M Weigold, H Thaler, J Dongus… - Journal of Manufacturing …, 2024 - Elsevier
In recent years, numerous monitoring approaches have been developed in the field of
intelligent welding manufacturing to predict quality-related characteristics using process …

Welding monitoring and defect detection using probability density distribution and functional nonparametric kernel classifier

AA Melakhsou, M Batton-Hubert - Journal of Intelligent Manufacturing, 2023 - Springer
Welding fault detection in the industry of hot water tanks remains typically conducted visually
or with the assistance of None Destructive Examination, such as X-ray, ultrasound, and …

Time-aware forecasting of search volume categories and actual purchase

S Abdullhadi, DA Al-Qudah, B Abu-Salih - Heliyon, 2024 - cell.com
The new e-commerce field has attracted businesses of all sizes, retailers, and individuals.
Consequently, there is an ongoing necessity for applications that can offer predictions on …

Detektion von Prozessunregelmäßigkeiten beim MSG-Schweißen durch Analyse des Luftschallsignals mittels Convolutional Neural Network (CNN)

J Brückner, M Rohe, D Walther… - at …, 2024 - degruyter.com
Die additive Fertigung mittels DED-Arc-Verfahren ist durch die hohen Fertigungszeiten ein
kostenintensiver Prozess. Die klassischen Qualitätsprüfverfahren, die der Fertigung …

On welding defect detection and causalities between welding signals

AA Melakhsou, M Batton-Hubert - 2021 IEEE 17th International …, 2021 - ieeexplore.ieee.org
In the manufacturing of hot water tanks, welding quality evaluation and fault detection is a
critical operation that is still frequently conducted visually or with the help of none destructive …

APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES FOR DEFECT PREVENTION AND QUALITY CONTROL IN ARC WELDING PROCESSES: A …

TT Bilgin, MS Kunduracı, A Metin, M Doğru… - Middle East Journal of …, 2024 - dergipark.org.tr
This study presents a comprehensive review of research applying artificial intelligence (AI)
techniques to prevent defects in arc welding processes. Arc welding is essential across …

Welding quality identification based on bionic pattern recognition and sound information

J Zhao, J Gu, L Hua, H Yang, L Jiang… - 2021 36th Youth …, 2021 - ieeexplore.ieee.org
Aiming at the quality identification of melt inert-gas (MIG) welding, a novel algorithm based
on bionic pattern recognition and sound features is proposed in this paper. Firstly, the …

Analysis of Granular Parakeratosis Lesion Segmentation: BCE U-Net vs SOTA

S Janthakal, G Hosalli - … and Applications: Proceedings of ERCICA 2022, 2022 - Springer
Automatic extraction of the skin lesion is critical in assisting dermatologists in the detection of
dangerous skin lesions. Some skin lesions are so small that doctors may not notice them …