Towards using convolutional neural network to locate, identify and size defects in phased array ultrasonic testing

Title
Towards using convolutional neural network to locate, identify and size defects in phased array ultrasonic testing
Authors
Keywords
Non destructive testing, Ultrasound, Plane waves, Image recognition, Convolutional neural network, Faster-RCNN
Journal
ULTRASONICS
Volume 115, Issue -, Pages 106436
Publisher
Elsevier BV
Online
2021-04-17
DOI
10.1016/j.ultras.2021.106436

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started