A Multilevel Isolation Forrest and Convolutional Neural Network Algorithm for Impact Characterization on Composite Structures

In this paper, a Deep Learning approach is proposed to classify impact data based on the type of impact (Hard or Soft Impacts), via obtaining voltage signals from Piezo-Electric sensors, mounted on a composite panel. The data is processed further to be classified based on their energy, location and...

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Detalles Bibliográficos
Autores principales: Salehzadeh Nobari, Amin Ebrahim, Aliabadi, M.H.Ferri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589093/
https://www.ncbi.nlm.nih.gov/pubmed/33086581
http://dx.doi.org/10.3390/s20205896

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589093/
https://www.ncbi.nlm.nih.gov/pubmed/33086581
http://dx.doi.org/10.3390/s20205896

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