Comparative Study of Popular Deep Learning Models for Machining Roughness Classification Using Sound and Force Signals

This study compared popular Deep Learning (DL) architectures to classify machining surface roughness using sound and force data. The DL architectures considered in this study include Multi-Layer Perceptron (MLP), Convolution Neural Network (CNN), Long Short-Term Memory (LSTM), and transformer. The c...

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Detalles Bibliográficos
Autor principal: Bhandari, Binayak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706467/
https://www.ncbi.nlm.nih.gov/pubmed/34945334
http://dx.doi.org/10.3390/mi12121484

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706467/
https://www.ncbi.nlm.nih.gov/pubmed/34945334
http://dx.doi.org/10.3390/mi12121484

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