Tool Wear State Recognition Based on One-Dimensional Convolutional Channel Attention

Tool wear state recognition is an important part of tool condition monitoring (TCM). Online tool wear monitoring can avoid wasteful early tool changes and degraded workpiece quality due to later tool changes. This study incorporated an attention mechanism implemented by one-dimensional convolution i...

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Detalles Bibliográficos
Autores principales: Xue, Zhongling, Li, Liang, Chen, Ni, Wu, Wentao, Zou, Yuhang, Yu, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673194/
https://www.ncbi.nlm.nih.gov/pubmed/38004840
http://dx.doi.org/10.3390/mi14111983

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673194/
https://www.ncbi.nlm.nih.gov/pubmed/38004840
http://dx.doi.org/10.3390/mi14111983

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