Artificial Intelligence for quality control in manufacturing applied to materials defects detection in the ITER Vacuum Vessel welding operations

Simple item page
dc.contributor.authorMaría Ortiz de Zúñiga López-Chicheri (Fusion for Energy/UNED, Barcelona)
dc.contributor.authorMax Febvre (Fusion for Energy, Barcelona)
dc.contributor.authorAndres Dans Alvarez de Sotomayor (Fusion for Energy, Barcelona)
dc.contributor.authorNawal Prinja (Prinja & Partners, Stockport)
dc.contributor.authorCristian Casanova Moya (Fusion for Energy, Barcelona)
dc.contributor.authorAna Maria Camacho Lopez (UNED, Madrid)
dc.contributor.authorAlvaro Rodriguez Prieto (UNED, Madrid)
dc.date.accessioned2023-04-12T01:14:00Z
dc.date.available2023-04-12T01:14:00Z
dc.date.issued2022-07-10
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40590
dc.publisherIASMiRT
dc.relation.ispartofseriesD08 - Issues Related to Operation, Inspection and Maintenance
dc.relation.ispartofseriesD08-Th.2.B - D08 - Non-Destructive Evaluation I
dc.relation.ispartofseries00 - SMiRT 26 - Berlin/Potsdam, Germany. July 10-15, 2022
dc.titleArtificial Intelligence for quality control in manufacturing applied to materials defects detection in the ITER Vacuum Vessel welding operations
dc.typeConference Proceeding

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Th.2.B.5.pdf
Size:
1.12 MB
Format:
Adobe Portable Document Format
Download

Collections

2022 - SMiRT 26 - Berlin/Potsdam, Germany