Confidence machine learning for cutting tool life prediction
Proceedings of the Tenth Symposium on Conformal and Probabilistic Prediction and Applications, PMLR 152:294-296, 2021.
The work aims to develop an automatic cutting tool life prediction model for die-cuts machine at Parafix. Such model will be able to estimate how long a given tool is likely to last, in order to improve performance and productivity. This work is part of the KTP project between Parafix and University of Brighton.