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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |