Automatic Identification of Tool Wear Based on Convolutional Neural Network in Face Milling Process

Monitoring of tool wear in machining process has found its importance to predict tool life, reduce equipment downtime, and tool costs. Traditional visual methods require expert experience and human resources to obtain accurate tool wear information. With the development of charge-coupled device (CCD...

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Detalles Bibliográficos
Autores principales: Wu, Xuefeng, Liu, Yahui, Zhou, Xianliang, Mou, Aolei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767294/
https://www.ncbi.nlm.nih.gov/pubmed/31487810
http://dx.doi.org/10.3390/s19183817

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767294/
https://www.ncbi.nlm.nih.gov/pubmed/31487810
http://dx.doi.org/10.3390/s19183817

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