Local-feature and global-dependency based tool wear prediction using deep learning

Evaluation of tool wear is vital in manufacturing system, since early detections on worn-out condition can ensure workpiece quality, improve machining efficiency. With the development of intelligent manufacturing, tool wear prediction technology plays an increasingly important role. However, traditi...

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Detalles Bibliográficos
Autores principales: Yang, Changsen, Zhou, Jingtao, Li, Enming, Wang, Mingwei, Jin, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418252/
https://www.ncbi.nlm.nih.gov/pubmed/36028636
http://dx.doi.org/10.1038/s41598-022-18235-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418252/
https://www.ncbi.nlm.nih.gov/pubmed/36028636
http://dx.doi.org/10.1038/s41598-022-18235-3

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