• DocumentCode
    2507780
  • Title

    Transient analysis on machinery condition monitoring

  • Author

    Pan, M.-C. ; Sas, P.

  • Author_Institution
    Dept. of Mech. Eng., Katholieke Univ., Leuven, Belgium
  • Volume
    2
  • fYear
    1996
  • fDate
    14-18 Oct 1996
  • Firstpage
    1723
  • Abstract
    In this research, three main time-frequency/time-scale (TF/TS) analysis algorithms-windowed Fourier transform (WFT), Wigner-Ville distribution (WVD), and wavelet analysis (WA), have been studied and implemented. We compare the different algorithms using an identical set of synthetic signals, from which one can realize their individual features. To justify the effectiveness and to highlight the requisite of using TF/TS analysis, two test-benches have been conducted and investigated. One is to analyze transient vibration signals measured on the end-effector of an industrial robot during plane motion and the other is to analyse the nonstationary vibration response of a rotor-dynamic system with both an electro-mechanical clutch and brake
  • Keywords
    Fourier transforms; Wigner distribution; industrial robots; monitoring; robot kinematics; signal processing; time-frequency analysis; transient analysis; vibrations; wavelet transforms; TF/TS analysis algorithms; Wigner-Ville distribution; brake; electro-mechanical clutch; end-effector; industrial robot; machinery condition monitoring; nonstationary vibration response; plane motion; rotor-dynamic system; synthetic signals; test-benches; time-frequency/time-scale analysis algorithms; transient analysis; transient vibration signals; wavelet analysis; windowed Fourier transform; Algorithm design and analysis; Condition monitoring; Fourier transforms; Machinery; Signal analysis; Testing; Time frequency analysis; Transient analysis; Vibration measurement; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 1996., 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-2912-0
  • Type

    conf

  • DOI
    10.1109/ICSIGP.1996.571269
  • Filename
    571269