• DocumentCode
    2715763
  • Title

    Statistical analysis of vibration signals for cavitation detection ISIEA 2009

  • Author

    Al-Hashmi, Salem A.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., SEBHA Univ., Sebha, Libya
  • Volume
    1
  • fYear
    2009
  • fDate
    4-6 Oct. 2009
  • Firstpage
    78
  • Lastpage
    82
  • Abstract
    Cavitation in a centrifugal pump causes deterioration of the hydraulic performance, damage to the pump components, high vibration and noise. To prevent cavitation and maintain pump performance, it is necessary to detect and diagnose the cavitation as early and accurately as possible. This paper presents non-destructive method to detect and diagnose cavitation in centrifugal pumps using statistical analysis of vibration signals. The vibration data was measured close to the discharge port and analysed in the time domain. It has been found that the probability density function (PDF) , Root mean square (RMS) and standard deviation (SD) values of structure vibration can be used successfully for detecting cavitation in centrifugal pump.
  • Keywords
    cavitation; flaw detection; pumps; statistical analysis; vibrations; cavitation detection; cavitation diagnosis; centrifugal pump; hydraulic performance; probability density function; root mean square; standard deviation; statistical analysis; structure vibration; Aerodynamics; Blades; Cooling; Frequency; Friction; Pumps; Signal analysis; Signal detection; Statistical analysis; Vibrations; Cavitation; Centrifugal pump; Mean Value; Probability density function; Standard Deviation; Structure vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-4681-0
  • Electronic_ISBN
    978-1-4244-4683-4
  • Type

    conf

  • DOI
    10.1109/ISIEA.2009.5356506
  • Filename
    5356506