Explainable Remaining Tool Life Prediction for Individualized Production Using Automated Machine Learning

The increasing demand for customized products is a core driver of novel automation concepts in Industry 4.0. For the case of machining complex free-form workpieces, e.g., in die making and mold making, individualized manufacturing is already the industrial practice. The varying process conditions an...

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Detalles Bibliográficos
Autores principales: Krupp, Lukas, Wiede, Christian, Friedhoff, Joachim, Grabmaier, Anton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610891/
https://www.ncbi.nlm.nih.gov/pubmed/37896615
http://dx.doi.org/10.3390/s23208523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610891/
https://www.ncbi.nlm.nih.gov/pubmed/37896615
http://dx.doi.org/10.3390/s23208523

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