This paper presents a signal processing technique of chatter detection for boring bar based on the Hilbert–Huang
Transform (HHT). HHT is suitable for the analysis of non-stationary and non-linear signals. The flow of HHT for
processing chatter signal and the principle are introduced. Two kinds of signals from strain gauge and FBG sensor are
compared by HHT. The signals are decomposed into several intrinsic mode functions (IMFs) using empirical mode
decomposition (EMD). The Hilbert transform is then applied on each IMF to obtain the instantaneous frequencies with
time and their amplitudes. Finally, the marginal and the Hilbert spectrums of strain signals were produced using selected
IMFs. The results show that the HHT-based strain signal analysis can also be considered as a simple and reliable method
for chatter vibration detection.
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