• DocumentCode
    1988067
  • Title

    Application of improved EMD algorithm for the fault diagnosis of reciprocating pump valves with spring failure

  • Author

    Shulin, Liu ; Haifeng, Zhao ; Hui, Wang ; Rui, Ma

  • Author_Institution
    Mech. Sci. & Eng. Coll., Daqing Pet. Inst., Daqing
  • fYear
    2007
  • fDate
    12-15 Feb. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents an improved EMD algorithm for the fault diagnosis of reciprocating pump valves with spring failure. The vibration signal of reciprocating pumps is of typical nonstationarity. Although the EMD algorithm adopting the cubic spline interpolation is an effective tool processing non-stationary signal, it couldnpsilat accurately extract fault characteristics from the highly nonstationary signals. So the paper presents a new improved EMD algorithm which adopts Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) as envelope of extrema. Through the simulation and application, it can be shown that the PCHIP can extract fault characteristic of valves more exactly than the spline.
  • Keywords
    failure analysis; fault diagnosis; interpolation; maintenance engineering; polynomials; pumps; splines (mathematics); valves; vibrations; EMD algorithm; cubic Hermite interpolating polynomial; cubic spline interpolation; fault diagnosis; reciprocating pump valves; spring failure; vibration signal; Fault diagnosis; Frequency; Interpolation; Polynomials; Signal processing; Signal processing algorithms; Spline; Springs; Valves; Vibrations; Empirical mode decomposition; Fault diagnosis; Hilbert-Huang transform; PCHIP; Reciprocating pump valve; signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4244-0778-1
  • Electronic_ISBN
    978-1-4244-1779-8
  • Type

    conf

  • DOI
    10.1109/ISSPA.2007.4555473
  • Filename
    4555473