• DocumentCode
    1940587
  • Title

    Analysis of cutting-force signals by time-frequency localization methods

  • Author

    Kovács, T. ; Csizmás, E. ; Szabó, A.

  • Author_Institution
    Kalmar Sandor Inst. of Inf. Technol., Kecskemet Coll., Kecskemet
  • fYear
    2008
  • fDate
    27-29 Nov. 2008
  • Firstpage
    47
  • Lastpage
    51
  • Abstract
    In this work the force signal of a metal cutting process were analyzed by continuous wavelets and Hilbert-Huang Transformation (HHT). The main purpose was to reveal the dominant frequencies and the frequency-time functions of the vibrating sub-systems in the cutting process. Three dominating vibration modes were detected with strongly fluctuating measured frequency values confined in a relatively narrow frequency band. Here we show that this fluctuation has not only numeric but physical reasons, and one of these reasons is probably the coupling between the vibration modes. It turned out that the wavelet analysis method is capable of tracing fast varying frequencies of the signal with values close to each other by the proper choice of the central frequency parameter of the mother wavelet. In comparison with the HHT the wavelet method showed much more robust in this case.
  • Keywords
    Hilbert transforms; acoustic signal processing; cutting; vibrations; wavelet transforms; Hilbert-Huang transformation; continuous wavelets transformation; cutting-force signals; frequency localization methods; metal cutting process; wavelet analysis method; Continuous wavelet transforms; Feeds; Force measurement; Machining; Signal analysis; Signal processing; Time frequency analysis; Vibrations; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Cybernetics, 2008. ICCC 2008. IEEE International Conference on
  • Conference_Location
    Stara Lesna
  • Print_ISBN
    978-1-4244-2874-8
  • Electronic_ISBN
    978-1-4244-2875-5
  • Type

    conf

  • DOI
    10.1109/ICCCYB.2008.4721377
  • Filename
    4721377