• DocumentCode
    1653779
  • Title

    Eccentricity fault diagnosis in induction motors using global processors — A review

  • Author

    Abu-Elhaija, W.S. ; Takbash, A.M. ; Faiz, Jawad ; Ebrahimi, Bashir Mahdi

  • Author_Institution
    King Abdullah II Fac. of Eng., Princess Sumaya Univ. for Technol., Amman, Jordan
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper all processors employed for processing induction motor signals are investigated to detect eccentricity fault have been investigated in details. So, the competent indices which extracted by these processors are studied and compared in different aspects. Moreover, the efficiency of the aforementioned indices in different induction motors conditions is determined and relation between this efficiency and utilized processor is analyzed. Many simulation and experimental results are inspected to certify discussions.
  • Keywords
    fault diagnosis; induction motors; signal processing; aforementioned indices efficiency; eccentricity fault diagnosis; global processors; induction motor signals; Fault diagnosis; Harmonic analysis; Induction motors; Program processors; Rotors; Stators; Transforms; FFT; Fault Detection; Hilbert; Signal Processing; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Drives and Energy Systems (PEDES), 2012 IEEE International Conference on
  • Conference_Location
    Bengaluru
  • Print_ISBN
    978-1-4673-4506-4
  • Type

    conf

  • DOI
    10.1109/PEDES.2012.6484398
  • Filename
    6484398