Eddy current testing (ECT) is an established non-destructive evaluation (NDE) technique to
evaluate materials. In last decade, machine learning (ML) has revolutionized many areas …

The adequate assessment of key apparatus conditions is a hot topic in all branches of
industry. Various on-line and off-line diagnostic methods are widely applied to provide early …

Even after extensive efforts to enhance our understanding of materials, modeling, and
system processes, uncertainty continues to be an inevitable factor that impacts system …

This study presents a comprehensive approach for crack depth estimation utilizing
advanced image analysis techniques and a Convolutional Neural Network (CNN) model …

Eddy current testing (ECT) is an established non-destructive evaluation (NDE) technique to
evaluate materials. In last decade, machine learning (ML) has revolutionized many areas …

This research introduces a new deep learning model called Self-Generated WaveletNet,
specifically designed for adaptive fault diagnosis under varying operational conditions. The …

This paper introduces a method for estimating the maximum depth (sub-millimeter) of minor
cracks on the surface of aluminum plates used in the aeronautical industry. A set of C-scan …