most citedArtificial Intelligence based tool wear and defect prediction for special purpose milling machinery using low-cost acceleration sensor retrofits

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1 paper

cs.LG2022★ 1 cited

Artificial Intelligence based tool wear and defect prediction for special purpose milling machinery using low-cost acceleration sensor retrofits

Mahmoud Kheir-Eddine, Michael Banf, Gregor Steinhagen

Milling machines form an integral part of many industrial processing chains. As a consequence, several machine learning based approaches for tool wear detection have been proposed…