Ensemble-based semi-supervised learning for milling chatter detection

HIGHLIGHTS

• who: Weichao Liu and colleagues from the College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China have published the research work: Ensemble-Based Semi-Supervised Learning for Milling Chatter Detection, in the Journal: Machines 2022, 9, x FOR PEER REVIEW Machines 2022, 9, x FOR PEER REVIEW of /2022/
• what: To fully utilize data, uf074dq(q)=The qh(qmultifractality ) -1 Hurst of amethod, series canELM also be h(q ) is the generalized the authors propose where an ensemble-based SSL method in exponent. this research. To further illustrate the advantages . . .
  

   

  

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