A Dual-Stage Attention Model for Tool Wear Prediction in Dry Milling Operation

The intelligent monitoring of tool wear status and wear prediction are important factors affecting the intelligent development of the modern machinery industry. Many scholars have used deep learning methods to achieve certain results in tool wear prediction. However, due to the instability and varia...

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Detalles Bibliográficos
Autores principales: Qin, Yongrui, Li, Jiangfeng, Zhang, Chenxi, Zhao, Qinpei, Ma, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778040/
https://www.ncbi.nlm.nih.gov/pubmed/36554138
http://dx.doi.org/10.3390/e24121733

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778040/
https://www.ncbi.nlm.nih.gov/pubmed/36554138
http://dx.doi.org/10.3390/e24121733

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