Predicting local material thickness from steady-state ultrasonic wavefield measurements using a convolutional neural network

Author:

Eckels Joshua D.ORCID,Jacobson Erica M.,Cummings Ian T.ORCID,Fernandez Isabel F.,Ho Kelly,Dervilis NikolaosORCID,Flynn Eric B.,Wachtor Adam J.ORCID

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference26 articles.

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3. E.B. Flynn, G.S. Jarmer, High-speed, non-contact, baseline-free imaging of hiddden defects using scanning laser measurements of steady-state ultrasonic vibration, in: Structural Health Monitoring 2013: Proc. Of The Ninth Int. Workshop On Structural Health Monitoring, 1, 2013, pp. 1186–1193.

4. Characterization of impact damage in composite laminates using guided wavefield imaging and local wavenumber domain analysis;Rogge;Ultrasonics,2013

5. High-resolution guided wave tomography;Huthwaite;Wave Motion,2013

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