Deep Learning Approach for Vibration Signals Applications

This study discusses convolutional neural networks (CNNs) for vibration signals analysis, including applications in machining surface roughness estimation, bearing faults diagnosis, and tool wear detection. The one-dimensional CNNs (1DCNN) and two-dimensional CNNs (2DCNN) are applied for regression...

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Detalles Bibliográficos
Autores principales: Chen, Han-Yun, Lee, Ching-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201341/
https://www.ncbi.nlm.nih.gov/pubmed/34200400
http://dx.doi.org/10.3390/s21113929

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201341/
https://www.ncbi.nlm.nih.gov/pubmed/34200400
http://dx.doi.org/10.3390/s21113929

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