One-dimensional deep convolutional autoencoder active infrared thermography: Enhanced visualization of internal defects in FRP composites-Reference-Cited by-同舟云学术

One-dimensional deep convolutional autoencoder active infrared thermography: Enhanced visualization of internal defects in FRP composites

Published:2024-03 Issue: Volume:272 Page:111216
ISSN:1359-8368
Container-title:Composites Part B: Engineering
language:en
Short-container-title:Composites Part B: Engineering

Author:

Zhang Yubin^ORCID,Xu Changhang,Liu Pengqian,Xie Jing,Han Yage,Liu Rui,Chen Lina

Publisher

Elsevier BV

Reference46 articles.

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3. Eco-efficiency assessment of manufacturing carbon fiber reinforced polymers (CFRP) in aerospace industry;Al-Lami;Aero Sci Technol,2018

4. Impact simulation of composite panels for aerospace applications;Shyamsunder;Compos B Eng,2022

5. Low cost textile-grade carbon-fiber epoxy composites for automotive and wind energy applications;Hiremath;Compos B Eng,2020

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2. Damage identification of plain-woven composites at T > Tg using AE: Damage clustering and initiation detection;Composites Science and Technology;2024-10

3. Simultaneous inspection of multi-kind defects in adhesively bonded CFRP/steel structures by inductive thermography;Infrared Physics & Technology;2024-05