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Infrared and ultrasonic intelligent damage recognition of composite materials based on deep learning

  • Published:2021-09-22 Issue:28 Volume:60 Page:8624
  • ISSN:1559-128X
  • Container-title:Applied Optics
  • language:en
  • Short-container-title:Appl. Opt.

Author:

Li Caizhi,Nie Xiangfan,Chang Zhihao,Wei Xiaolong,He Weifeng,Wu Xin,Xu Haojun,Feng Zhixi

Funder

National Natural Science Foundation of China

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Aeroengine Blades Damage Detection and Measurement Based on Multimodality Fusion Learning;IEEE Transactions on Instrumentation and Measurement;2024

2. Concealed multiscale feature extraction network for automatic four-bar target detection in infrared imaging;Optical Engineering;2022-06-16

3. Ultrasonic Nondestructive Analysis of Plastics;Characterization and Failure Analysis of Plastics;2022-05-15

4. Machine Learning Based Quantitative Damage Monitoring of Composite Structure;International Journal of Smart and Nano Materials;2022-04-03
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