Interpretable & Explainable Machine Learning for Ultrasonic Defect Sizing

Despite its popularity in literature, there are few examples of machine learning (ML) being used for industrial nondestructive evaluation (NDE) applications. A significant barrier is the 'black box' nature of most ML algorithms. This paper aims to improve the interpretability and explainab...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - PP(2023) vom: 24. Feb.
1. Verfasser: Pyle, Richard J (VerfasserIn)
Weitere Verfasser: Hughes, Robert R, Wilcox, Paul D
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Schlagworte:Journal Article