Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance

Laser welding is a key technology for many industrial applications. However, its online quality monitoring is an open issue due to the highly complex nature of the process. This work aims at enriching existing approaches in this field. We propose a method for real-time detection of process instabili...

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Detalles Bibliográficos
Autores principales: Shevchik, Sergey, Le-Quang, Tri, Meylan, Bastian, Farahani, Farzad Vakili, Olbinado, Margie P., Rack, Alexander, Masinelli, Giulio, Leinenbach, Christian, Wasmer, Kilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042273/
https://www.ncbi.nlm.nih.gov/pubmed/32098995
http://dx.doi.org/10.1038/s41598-020-60294-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042273/
https://www.ncbi.nlm.nih.gov/pubmed/32098995
http://dx.doi.org/10.1038/s41598-020-60294-x

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