no code implementations • 24 Oct 2022 • Maximilian Bundscherer, Thomas H. Schmitt, Sebastian Bayerl, Thomas Auerbach, Tobias Bocklet
This paper describes a machine learning approach to determine the abrasive belt wear of wide belt sanders used in industrial processes based on acoustic data, regardless of the sanding process-related parameters, Feed speed, Grit Size, and Type of material.
