Deploying Machine Learning for Radiography of Aerospace Welds

Artificial intelligence is providing new possibilities for analysis in the field of industrial radiography. As capabilities evolve, there is the need for knowledge concerning how to deploy these technologies in practice and benefit from the new automatically generated information. In this study, aut...

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Veröffentlicht in:	Journal of nondestructive evaluation 2024-03, Vol.43 (1), Article 24
Hauptverfasser:	Tyystjärvi, Topias, Fridolf, Peter, Rosell, Anders, Virkkunen, Iikka
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Artificial intelligence building the eco-system and continuing research Characterization and Evaluation of Materials Classical Mechanics Control Dynamical Systems Engineering Flaw detection Laser beam welding Machine learning Nondestructive testing Quality control Radiography Reliability analysis Solid Mechanics Statistical analysis TC: NDE 4.0 Creating success stories Vibration Weld defects
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