"Decision Support by Interpretable Machine Learning in Acoustic Emission ..."

Arno Schmetz et al. (2021)

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DOI: 10.1109/IEEM50564.2021.9673044

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

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Arno Schmetz, Christopher Vahl, Zhen Zhen, Daniel Reibert, Sebastian Mayer, Daniel Zontar, Jochen Garcke, Christian Brecher:
Decision Support by Interpretable Machine Learning in Acoustic Emission Based Cutting Tool Wear Prediction. IEEM 2021: 629-633

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