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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |