Structural Health Monitoring Impact Classification Method Based on Bayesian Neural Network

This paper proposes a novel method for multi-class classification and uncertainty quantification of impact events on a flat composite plate with a structural health monitoring (SHM) system by using a Bayesian neural network (BNN). Most of the existing research in passive sensing has focused on deter...

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Detalles Bibliográficos
Autores principales: Yu, Haofan, Seno, Aldyandra Hami, Sharif Khodaei, Zahra, Aliabadi, M. H. Ferri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572318/
https://www.ncbi.nlm.nih.gov/pubmed/36235895
http://dx.doi.org/10.3390/polym14193947

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572318/
https://www.ncbi.nlm.nih.gov/pubmed/36235895
http://dx.doi.org/10.3390/polym14193947

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