• DocumentCode
    1948259
  • Title

    Broken rotor bar detection of single phase induction motor using Wigner-Ville Distributions

  • Author

    Hafeez, Sara ; Zaidi, Cdr Sajjad Haider ; Siddiqui, Afzal

  • fYear
    2013
  • fDate
    10-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Fault diagnosis is vital for any type of machine employed in the industry for its superior operation. For this purpose condition monitoring of machinery is necessary to diagnose the different kind of faults in the machines for the smooth operation. In this research work, we have brought into consideration broken rotor bar losses and have analyzed them with various signal processing techniques through an online process and we analyze the diagnosis and severity of various faults using the details of these signal processing techniques. We are using the variants of WVD (Wigner-Ville Distribution) and then doing a comparison with STFT to demonstrate how these variants are more accurate in analyzing the rotor bar faults.
  • Keywords
    Wigner distribution; condition monitoring; fault diagnosis; induction motors; rotors; signal processing; STFT; WVD; Wigner-Ville Distributions; broken rotor bar detection; broken rotor bar losses; condition monitoring; fault diagnosis; online process; signal processing techniques; single phase induction motor; Bars; Circuit faults; Fault diagnosis; Induction motors; Rotors; Signal processing; Time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
  • Conference_Location
    Cagliari
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4799-0862-2
  • Type

    conf

  • DOI
    10.1109/ETFA.2013.6647960
  • Filename
    6647960