Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process

In this article, we present a novel approach to tool condition monitoring in the chipboard milling process using machine learning algorithms. The presented study aims to address the challenges of detecting tool wear and predicting tool failure in real time, which can significantly improve the effici...

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Detalles Bibliográficos
Autores principales: Przybyś-Małaczek, Agata, Antoniuk, Izabella, Szymanowski, Karol, Kruk, Michał, Kurek, Jarosław
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346670/
https://www.ncbi.nlm.nih.gov/pubmed/37447700
http://dx.doi.org/10.3390/s23135850

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346670/
https://www.ncbi.nlm.nih.gov/pubmed/37447700
http://dx.doi.org/10.3390/s23135850

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