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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Bibliographic Details
Published in:Sci Rep
Main Authors: Shevchik, Sergey, Le-Quang, Tri, Meylan, Bastian, Farahani, Farzad Vakili, Olbinado, Margie P., Rack, Alexander, Masinelli, Giulio, Leinenbach, Christian, Wasmer, Kilian
Format: Artigo
Language:Inglês
Published: Nature Publishing Group UK 2020
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7042273/
https://ncbi.nlm.nih.gov/pubmed/32098995
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-60294-x
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