Transfer Learning for Autonomous Chatter Detection in Machining

@article{Yesilli2022TransferLF,
  title={Transfer Learning for Autonomous Chatter Detection in Machining},
  author={Melih C. Yesilli and Firas A. Khasawneh and Brian P. Mann},
  journal={ArXiv},
  year={2022},
  volume={abs/2204.05400}
}
Large-amplitude chatter vibrations are one of the most important phenomena in machining processes. It is often detrimental in cutting operations causing a poor surface finish and decreased tool life. Therefore, chatter detection using machine learning has been an active research area over the last decade. Three challenges can be identified in applying machine learning for chatter detection at large in industry: an insufficient understanding of the universality of chatter features across different… 

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