• DocumentCode
    1590119
  • Title

    Instantaneous frequency measurement based on EMD and TVAR

  • Author

    Yun, Zhou ; Shiping, Li ; Peng, Luo ; Qiuping, Zhou

  • Author_Institution
    Second Artillery Eng. Coll., Xi´´an, China
  • Volume
    3
  • fYear
    2011
  • Firstpage
    303
  • Lastpage
    306
  • Abstract
    Instantaneous frequency (IF) is an important parameter in the study of non- stationary single, when instantaneous frequency is measured accurately, it has great application in electric power system single analyze, intelligent trouble diagnosis and so on. A new method for instantaneous frequency measurement which based on Empirical Mode Decomposition (EMD) and Time-Varying Auto- regressive Model (TVAR) is discussed in this article. It includes two parts. First, a signal is decomposed into a finite and often small number of basic components-Intrinsic Mode Function (IMF).Then, TVAR is calculated in any of the IMF signal. This new method can suppress the parts of the end effect which is caused by Hilbert transform. An example from simulation experiment is given to demonstrate its power. This new method can analyze complicated nonlinear and non-stationary signal.
  • Keywords
    Hilbert transforms; frequency measurement; regression analysis; EMD; Hilbert transform; IF measurement; IMF signal; TVAR; electric power system; empirical mode decomposition; instantaneous frequency measurement; intelligent trouble diagnosis; intrinsic mode function; nonlinear signal; nonstationary signal; time-varying autoregressive model; Accuracy; Correlation; Frequency measurement; Instruments; Joints; Power measurement; Transforms; EMD; TVAR; instantaneous frequency measurement; non- stationary single;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8158-3
  • Type

    conf

  • DOI
    10.1109/ICEMI.2011.6037911
  • Filename
    6037911