Structural Damage Identification of Composite Rotors Based on Fully Connected Neural Networks and Convolutional Neural Networks

Damage identification of composite structures is a major ongoing challenge for a secure operational life-cycle due to the complex, gradual damage behaviour of composite materials. Especially for composite rotors in aero-engines and wind-turbines, a cost-intensive maintenance service has to be perfor...

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Detalles Bibliográficos
Autores principales: Scholz, Veronika, Winkler, Peter, Hornig, Andreas, Gude, Maik, Filippatos, Angelos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999067/
https://www.ncbi.nlm.nih.gov/pubmed/33809071
http://dx.doi.org/10.3390/s21062005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999067/
https://www.ncbi.nlm.nih.gov/pubmed/33809071
http://dx.doi.org/10.3390/s21062005

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