TY  - BOOK
AU  - Hartung, Julia
PY  - 2024
DA  - 2024//
TI  - Machine Learning for Camera-Based Monitoring of Laser Welding Processes
T3  - Forschungsberichte aus der Industriellen Informationstechnik
PB  - KIT Scientific Publishing
CY  - [Erscheinungsort nicht ermittelbar]
KW  - Electrical engineering
KW  - CNN; stacked dilated U-Net; semantic segmentation; hairpin technology; laser welding; quality assurance; machine learning; Qualitätssicherung; semantische Segmentierung; Hairpin Technologie; Laserschweißen; Maschinelles Lernen; Künstliche Intelligenz
AB  - The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance
UR  - https://directory.doabooks.org/handle/20.500.12854/135794
LA  - Undetermined language
N1  - English
ID  - 1885789890
ER  -