Pattern recognition for on-line chatter detection

D. W. Cho*, K. F. Eman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


A pattern recognition strategy for on-line chatter detection was proposed and developed by analysing the acceleration signals from a milling operation. The components of the feature vectors were defined in terms of total power and dispersion of the dominant forced and chatter vibration modes extracted from linear stochastic models characterising the vibrations. The weighting vectors of a linear classifier were in turn evaluated by using the error correction method. Through the implementation of the method a significant rate of success could be demonstrated.

Original languageEnglish (US)
Pages (from-to)279-290
Number of pages12
JournalMechanical Systems and Signal Processing
Issue number3
StatePublished - Jul 1988

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications


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