Cargando…
Multi-Damage Detection in Composite Space Structures via Deep Learning
The diagnostics of environmentally induced damages in composite structures plays a critical role for ensuring the operational safety of space platforms. Recently, spacecraft have been equipped with lightweight and very large substructures, such as antennas and solar panels, to meet the performance d...
Autores principales: | Angeletti, Federica, Gasbarri, Paolo, Panella, Massimo, Rosato, Antonello |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490817/ https://www.ncbi.nlm.nih.gov/pubmed/37687970 http://dx.doi.org/10.3390/s23177515 |
Ejemplares similares
-
A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning
por: Angeletti, Federica, et al.
Publicado: (2022) -
Multi-Scale Compositionality: Identifying the Compositional Structures of Social Dynamics Using Deep Learning
por: Peng, Huan-Kai, et al.
Publicado: (2015) -
Structural Bioinformatics and Deep Learning of Metalloproteins: Recent Advances and Applications
por: Andreini, Claudia, et al.
Publicado: (2022) -
Structural damage detection using deep learning and FE model updating techniques
por: Lee, Yunwoo, et al.
Publicado: (2023) -
Visual Detection and Image Processing of Parking Space Based on Deep Learning
por: Huang, Chen, et al.
Publicado: (2022)