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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |