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.
Umfang: XVI, 226 S.
Preis: 46.00 €
These are words or phrases in the text that have been
automatically identified by the
Named Entity Recognition and Disambiguation service,
which provides Wikipedia
()
and Wikidata
(
)
links for these entities.
Hartung, J. 2024. Machine Learning for Camera-Based Monitoring of Laser Welding Processes. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000164716
Dieses Buch ist lizenziert unter Creative Commons Attribution + ShareAlike 4.0
Dieses Buch ist Peer reviewed. Informationen dazu finden Sie hier
Veröffentlicht am 8. März 2024
Englisch
258