Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks (2021)

First Author: Meng T
Attributed to:  Real-time In-line Microstructural Engineering (RIME) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tim.2021.3117367

Publication URI: http://dx.doi.org/10.1109/tim.2021.3117367

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Instrumentation and Measurement