AQUADA PLUS: Automated damage inspection of cyclic-loaded large-scale composite structures using thermal imagery and computer vision
Author:
Publisher
Elsevier BV
Subject
Civil and Structural Engineering,Ceramics and Composites
Reference32 articles.
1. AQUADA: Automated quantification of damages in composite wind turbine blades for LCOE reduction;Chen;Wind Energy,2021
2. Aircraft visual inspection: A systematic literature review;Yasuda;Comput Ind,2022
3. Damage identification in aircraft composite structures: A case study using various non-destructive testing techniques;Katunin;Compos Struct,2015
4. Fatigue testing of a 14.3 m composite blade embedded with artificial defects – damage growth and structural health monitoring;Chen;Compos A Appl Sci Manuf,2021
5. Control of damage-sensitive features for early failure prediction of wind turbine blades;Janeliukstis;Struct Control Health Monit,2022
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