• DocumentCode
    3091006
  • Title

    A Fuzzy Logic Approach for the Diagnosis of Rotor Faults in Squirrel Cage Induction Motors

  • Author

    Zouzou, S.E. ; Laala, W. ; Guedidi, S. ; Sahraoui, M.

  • Author_Institution
    Lab. de Genie Electr., Univ. de Biskra, Biskra, Algeria
  • Volume
    2
  • fYear
    2009
  • fDate
    28-30 Dec. 2009
  • Firstpage
    173
  • Lastpage
    177
  • Abstract
    This paper presents a practical implementation of a new strategy using the fuzzy logic for the detection and the diagnosis of broken bars in electrical induction machine. Motor Current Signature Analysis (MCSA) was used. The strategy rests on the follow-up (in amplitude and frequency) of the harmonics representing the defects of the broken bars, preparing and thus generating the adequate inputs for the treatment where the decision is made by fuzzy logic. The results obtained are good and it is capable to detect the correct number of broken bar.
  • Keywords
    fault diagnosis; fuzzy logic; fuzzy set theory; rotors; squirrel cage motors; broken bars detection; broken bars diagnosis; fuzzy logic approach; motor current signature analysis; rotor fault diagnosis; squirrel cage induction motors; Bars; Construction industry; Electrical fault detection; Fault diagnosis; Frequency; Fuzzy logic; Induction motors; Rotors; Stators; Thermal stresses; diagnosi; fuzzy logic; induction motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-5365-8
  • Electronic_ISBN
    978-0-7695-3925-6
  • Type

    conf

  • DOI
    10.1109/ICCEE.2009.108
  • Filename
    5380209