• DocumentCode
    2199965
  • Title

    Identification of instantaneous attributes of torsional shaft signals using the Hilbert transform

  • Author

    Andrade, Maria F. ; Messina, A.R. ; Rivera, C.A. ; Olguin, D.

  • Author_Institution
    Center for Res. & Adv. Studies, Guadalajara, Mexico
  • fYear
    2004
  • fDate
    6-10 June 2004
  • Abstract
    Summary form only given. A systematic analytical procedure based on the concept of the analytic signal (AS) of Gabor is used to determine the time-varying attributes of torsional oscillations, namely the instantaneous amplitude and the instantaneous frequency. Methods for implementing the AS using the numeric Hilbert transform are given and criteria for characterizing nonlinear effects are discussed. The proposed methodology is demonstrated on the IEEE first benchmark model (FBM) for subsynchronous resonance studies. The AS analysis is performed on output data files generated by nonlinear simulations using the EMTP, but the method is general and is applicable to any nonlinear, nonstationary signal. Numerical results include the determination of the instantaneous frequency of torsional oscillation signals following large perturbations. Comparison of numerical results obtained by the proposed method with linear analysis techniques is provided.
  • Keywords
    EMTP; Hilbert transforms; linear systems; oscillations; perturbation techniques; power system simulation; shafts; subsynchronous resonance; synchronous machines; EMTP; FBM; Gabor; Hilbert transform; analytic signal; data files; first benchmark model; instantaneous attribute identification; linear analysis techniques; nonlinear effects; nonlinear simulations; nonstationary signal; perturbations; subsynchronous resonance; time-varying attributes; torsional oscillations; torsional shaft signals; Analytical models; EMTP; Frequency; Performance analysis; Resonance; Shafts; Signal analysis; Signal generators; Signal processing; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2004. IEEE
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-8465-2
  • Type

    conf

  • DOI
    10.1109/PES.2004.1373113
  • Filename
    1373113