Cutter tool fault detection using a new spectral analysis method

  • Kalvoda T
  • Hwang Y
  • Vrabec M
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Abstract

An investigation of milling end cutter tool fault monitoring based on
dynamic force in the frequency domain and time-frequency domain is
presented in this paper. A new data analysis technique, the Hilbert
Huang transform (HHT), is used to analyse this process in the frequency
domain and time-frequency domain. This technique is also compared with
the traditional Welch's method power spectra based on the Fourier
transform (FT) in the frequency domain approach. The non-linearity and
non-stationarity of the cutting process are taken into account. This
method is designed to track the main peak in the frequency domain and
time-frequency domain (HHT). The main tool break indicator is the
appearance of new frequency as a result of the cutter tool fault. The
HHT analysis technique covers the physical nature of the cutting
process. The cutting process is not treated like a theoretical process,
which is obvious by the oscillation of the frequency around the
fundamental frequency of the cutter tool. The break of the cutter tool
is obvious in the presented results.

Author-supplied keywords

  • cutter tool fault; spectral analysis; milling proc

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Authors

  • T Kalvoda

  • Y-R Hwang

  • M Vrabec

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