Deep Learning Approach for Damage Classification Based on Acoustic Emission Data in Composite Materials

Damage detection and the classification of carbon fiber-reinforced composites using non-destructive testing (NDT) techniques are of great importance. This paper applies an acoustic emission (AE) technique to obtain AE data from three tensile damage tests determining fiber breakage, matrix cracking,...

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Detalles Bibliográficos
Autores principales: Guo, Fuping, Li, Wei, Jiang, Peng, Chen, Falin, Liu, Yinghonglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227811/
https://www.ncbi.nlm.nih.gov/pubmed/35744328
http://dx.doi.org/10.3390/ma15124270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227811/
https://www.ncbi.nlm.nih.gov/pubmed/35744328
http://dx.doi.org/10.3390/ma15124270

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