Tool Wear Condition Monitoring Method Based on Deep Learning with Force Signals

Tool wear condition monitoring is an important component of mechanical processing automation, and accurately identifying the wear status of tools can improve processing quality and production efficiency. This paper studied a new deep learning model, to identify the wear status of tools. The force si...

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Detalles Bibliográficos
Autores principales: Zhang, Yaping, Qi, Xiaozhi, Wang, Tao, He, Yuanhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221429/
https://www.ncbi.nlm.nih.gov/pubmed/37430508
http://dx.doi.org/10.3390/s23104595

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221429/
https://www.ncbi.nlm.nih.gov/pubmed/37430508
http://dx.doi.org/10.3390/s23104595

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