• DocumentCode
    533151
  • Title

    Decomposition and reconstruction for non-stationary vibration signal of small engine

  • Author

    Hao, Huiyan

  • Author_Institution
    Key Lab. of Instrum. Sci. & Dynamic Meas. Minist. of Educ., North Univ. of China, Taiyuan, China
  • Volume
    13
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    According to vibration signal of a small engine is non-stationary It extract the intrinsic mode function (IMF) of the signal through empirical mode decomposition (EMD).In order to overcome the mode mixing that happens in EMD, an improved EMD- ensemble empirical mode decomposition EEMD has been introduced. This dissertation analyses the reason of mixing and some solution at present, detailed introduces the basic principle, characteristics and related algorithm of EMD and EEMD. EEMD de-noising method was applied to analyze the vibration signals. With the simulation results of vibration signal, it points out that EEMD can solve the mode mixing, and at the same time reserve the adaptability of the EMD, it has no limits to the types of signals.
  • Keywords
    engines; signal denoising; signal reconstruction; vibrations; EEMD denoising method; EMD ensemble empirical mode decomposition; intrinsic mode function; mode mixing; nonstationary vibration signal; small engine; vibration signals; Engines; Mathematical model; Modeling; Time frequency analysis; Vibrations; White noise; Empirical Mode Decomposition (EMD); Vibration signals; ensemble empirical mode decomposition (EEMD);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622894
  • Filename
    5622894