Deep Learning for Ultrasonic Crack Characterization in NDE

Machine learning for nondestructive evaluation (NDE) has the potential to bring significant improvements in defect characterization accuracy due to its effectiveness in pattern recognition problems. However, the application of modern machine learning methods to NDE has been obstructed by the scarcit...

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Veröffentlicht in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 68(2021), 5 vom: 01. Mai, Seite 1854-1865
1. Verfasser: Pyle, Richard J (VerfasserIn)
Weitere Verfasser: Bevan, Rhodri L T, Hughes, Robert R, Rachev, Rosen K, Ali, Amine Ait Si, Wilcox, Paul D
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Schlagworte:Journal Article