Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring

In this work, different types of artificial neural networks are investigated for the estimation of the time of arrival (ToA) in acoustic emission (AE) signals. In particular, convolutional neural network (CNN) models and a novel capsule neural network are proposed in place of standard statistical st...

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Detalles Bibliográficos
Autores principales: Zonzini, Federica, Bogomolov, Denis, Dhamija, Tanush, Testoni, Nicola, De Marchi, Luca, Marzani, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838549/
https://www.ncbi.nlm.nih.gov/pubmed/35161836
http://dx.doi.org/10.3390/s22031091

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838549/
https://www.ncbi.nlm.nih.gov/pubmed/35161836
http://dx.doi.org/10.3390/s22031091

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