Two-stream convolutional neural network for non-destructive subsurface defect detection via similarity comparison of lock-in thermography signals-Reference-Cited by-同舟云学术

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Two-stream convolutional neural network for non-destructive subsurface defect detection via similarity comparison of lock-in thermography signals

Published:2020-06 Issue: Volume:112 Page:102246
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Cao Yanpeng,Dong Yafei,Cao Yanlong,Yang Jiangxin,Yang Michael Ying

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference41 articles.

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3. Impact damage identification in composite laminates using vibration testing;Pérez;Compos Struct,2014

4. Review of nonlinear ultrasonic guided wave nondestructive evaluation: Theory, numerics, and experiments;Chillara;Opt Eng,2015

5. From the experimental simulation to integrated non-destructive analysis by means of optical and infrared techniques: Results compared;Sfarra;Meas Sci Technol,2012

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