• DocumentCode
    1611498
  • Title

    Fuzzy logic system to detect pump faults from motor current spectra

  • Author

    Perovic, S. ; Unsworth, P.J. ; Higham, E.H.

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Sussex Univ., Brighton, UK
  • Volume
    1
  • fYear
    2001
  • Firstpage
    274
  • Abstract
    Faults in pumping systems can be caused through the changes in flow regimes, such as cavitation, that lead to impeller degradation or corruption of pumped material, and ultimately to the deterioration and breakdown of pumps themselves. Results are presented of experiments using spectral analysis of motor current to diagnose and predict specific failures in pumps. Fault signatures were established by relating spectral features to individual faults, and by analysing their behaviour in the presence of faults. Faults investigated were cavitation, blockage and impeller damage. A fuzzy logic system was built as a final decision making module.
  • Keywords
    electric current measurement; fault diagnosis; fuzzy logic; induction motors; machine testing; pumps; signal processing; blockage; cavitation; fault signatures; final decision making module; fuzzy logic system; impeller damage; induction motor; motor current; motor current spectra; pump fault detection; spectral analysis; Data acquisition; Electrical capacitance tomography; Fault detection; Frequency estimation; Fuzzy logic; Impellers; Information technology; Low pass filters; Pumps; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2001. Thirty-Sixth IAS Annual Meeting. Conference Record of the 2001 IEEE
  • Conference_Location
    Chicago, IL, USA
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-7114-3
  • Type

    conf

  • DOI
    10.1109/IAS.2001.955423
  • Filename
    955423