Interpretable and 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 article aims to improve the interpretability and explain...

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Veröffentlicht in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 2023-04, Vol.70 (4), p.277-290
Hauptverfasser: Pyle, Richard J., Hughes, Robert R., Wilcox, Paul D.
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Sprache:eng
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