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Estimation of Tool Wear and Surface Roughness Development Using Deep Learning and Sensors Fusion
This paper proposes an estimation approach for tool wear and surface roughness using deep learning and sensor fusion. The one-dimensional convolutional neural network (1D-CNN) is utilized as the estimation model with X- and Y-coordinate vibration signals and sound signal fusion using sensor influenc...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8398943/ https://www.ncbi.nlm.nih.gov/pubmed/34450780 http://dx.doi.org/10.3390/s21165338 |