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Confidence Machine Learning for cutting tool life prediction

  • Nishant Wilson
  • , Steve Barwick
  • , Vince Booker
  • , Tom Mildenhall
  • , Laura Still
  • , Yan Wang
  • , Khuong An Nguyen

Research output: Contribution to conferencePaperpeer-review

Abstract

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.
Original languageEnglish
Pages294-296
Number of pages3
Publication statusPublished - 1 Sept 2021

Keywords

  • Tool life prediction
  • predictive maintenance
  • Conformal Clustering

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