An Improved ResNet-1d with Channel Attention for Tool Wear Monitor in Smart Manufacturing

Tool wear is a key factor in the machining process, which affects the tool life and quality of the machined work piece. Therefore, it is crucial to monitor and diagnose the tool condition. An improved CaAt-ResNet-1d model for multi-sensor tool wear diagnosis was proposed. The ResNet18 structure base...

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Detalles Bibliográficos
Autores principales: Dong, Liang, Wang, Chensheng, Yang, Guang, Huang, Zeyuan, Zhang, Zhiyue, Li, Cen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921537/
https://www.ncbi.nlm.nih.gov/pubmed/36772279
http://dx.doi.org/10.3390/s23031240

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921537/
https://www.ncbi.nlm.nih.gov/pubmed/36772279
http://dx.doi.org/10.3390/s23031240

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