Decision Support by Interpretable Machine Learning in Acoustic Emission Based Cutting Tool Wear Prediction

Schmetz, A.; Vahl, C.; Zhen, Z.; Reibert, D.; Mayer, S.; Zontar, D.; Garcke, J.; Brecher, Christian

Piscataway, NJ : IEEE (2021, 2022)
Contribution to a book, Contribution to a conference proceedings

In: IEEE IEEM 21 virtual : 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) : 13-16 December 2021 / organizers: IEEE Singapore Section, IEEE TEMS Singapore Chapter, IEEE TEMS Hong Kong Chapter
Page(s)/Article-Nr.: 629-633


  • Fraunhofer Institute for Production Technology [053200]
  • Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University [417200]
  • Chair of Machine Tools [417310]