• DocumentCode
    2382555
  • Title

    Fourier analysis of motor current for diagnosis of broken bars in squirrel-cage induction machines

  • Author

    Mehrjou, Mohammad Rezazadeh ; Mariun, Norman ; Marhaban, Mohammad Hamiruce ; Misron, Norhisam

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Putra Malaysia, Serdang, Malaysia
  • fYear
    2010
  • fDate
    13-14 Dec. 2010
  • Firstpage
    475
  • Lastpage
    478
  • Abstract
    Condition monitoring, signal processing and data analysis are the key parts of the induction machine (IM) fault detection scheme. Frequency analysis of the signal acquired through the condition monitoring is commonly applied for motor fault detection. This paper is intended to investigate the ability and effectiveness of Fourier analysis of motor current for broken rotor bar detection. Accordingly, the current signals at different amount of load were measured and analyzed for broken rotor bar diagnosis in a squirrel-cage induction machine.
  • Keywords
    Fourier analysis; asynchronous machines; condition monitoring; fault diagnosis; squirrel cage motors; Fourier analysis; IM; broken bars; condition monitoring; frequency analysis; motor current; squirrel-cage induction machine fault detection scheme; Condition monitoring; Fault detection; Signal processing; Squirrel-cage induction Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research and Development (SCOReD), 2010 IEEE Student Conference on
  • Conference_Location
    Putrajaya
  • Print_ISBN
    978-1-4244-8647-2
  • Type

    conf

  • DOI
    10.1109/SCORED.2010.5704057
  • Filename
    5704057