Automatic segmentation of microporous defects in composite film materials based on the improved attention U-Net module-Reference-Cited by-同舟云学术

Automatic segmentation of microporous defects in composite film materials based on the improved attention U-Net module

Published:2024-08-22 Issue: Volume: Page:1-16
ISSN:1768-6733
Container-title:Quantitative InfraRed Thermography Journal
language:en
Short-container-title:Quantitative InfraRed Thermography Journal

Author:

Zhang Zhiyang¹²,Hu Jue¹,Wang Rongbang¹,Chen Xueyan¹,Yang Dazhi³,Vavilov Vladimir P.⁴,Duan Yuxia²,Zhang Hai¹^ORCID

Affiliation:

1. Centre for Composite Materials and Structures (CCMS), Harbin Institute of Technology, Harbin, China

2. School of Physics and Electronics, Central South University, Changsha, Hunan, China

3. School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China

4. Engineering School of Nondestructive Testing, Tomsk Polytechnic University, Tomsk, Russia

Funder

National Key Laboratory of Science and Technology on Advanced Composites in Special Environments

Russian Scientific Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17686733.2024.2387406

Reference35 articles.

1. Strain transfer of surface-bonded fiber Bragg grating sensors for airship envelope structural health monitoring

2. Shape Exploration and Multidisciplinary Optimization Method of Semirigid Nearing Space Airships

3. Deghat M, Lampiri E, Bishop AN. Sensor fault detection for the roll dynamic model of a generic delta-wing aircraft[C]//2016. In: Australian Control Conference (AuCC); Newcastle, NSW. IEEE; 2016. p. 317–322. doi: 10.1109/AUCC.2016.7868209

4. Ansari A, Bernstein DS. Aircraft sensor fault detection using state and input estimation[C]//2016. In: American Control Conference (ACC); Boston, MA. IEEE; 2016. p. 5951–5956. doi: 10.1109/ACC.2016.7526603

5. Observer-Based Fault Detection for Nonlinear Systems With Sensor Fault and Limited Communication Capacity