Abstract
This article describes use of Hilbert-Huang Transformation (HHT) in order to detect the damage and cutter tool wear by use of acceleration signal. The successful implementation of this transformation is introduced in this article. The difference between new and severe flute tool damage is clearly obvious in the marginal Hilbert spectra and Hilbert spectra. The tool wear is also obvious from those spectra. The drift into lower frequencies region indicates the cutter tool damage or cutter tool wear. This technique provides the alternative approach to the traditional FFT analysis which was used to the cutter tool detection.
