Zy. Shi et al., A STUDY ON REAL-TIME DETECTING OF MACHINE-TOOL CHATTER, International journal of the Japan Society for Precision Engineering, 32(3), 1998, pp. 178-182
A unified nonlinear time series analysis approach to the problem of fe
ature extraction of machine tool chatter is developed. Considering the
mechanism of chatter development, the procedure proposes the limit cy
cle behavior of self-excited random vibration to be the intrinsic inde
x of chatter occurrence, and provides the exponential autoregressive (
EAR) model to extract the index from on-line measured machining signal
. In order to real-time implement: this procedure, a quickly estimatin
g method of the EAR model is also provided by introducing a heuristic
determination of the nonlinear coefficient in the model. Finally both
the simulation and experimental data are used to shown the effectivene
ss of the procedure.