• DocumentCode
    2318019
  • Title

    The application of zoom FFT technique to the extraction of fault character of induction motor

  • Author

    Ma, Hongzhong ; Xu, Qun ; Song, Jingang ; Han, Jingdong

  • Author_Institution
    Hohai Univ., Nanjing
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    221
  • Lastpage
    225
  • Abstract
    Because the fault character signal frequency is very close to fundamental wave frequency during the analysis of induction motor rotor winding fault based on the frequency of stator current, though in practical application, there is only signal spectrum in very small frequency range need to be taken into account, high resolution is demanded in the range, therefore the traditional base-band FFT is difficult to analyze the fault character component of induction motor rotor winding effectively. In this paper, the application of zoom FFT to identify the fault character signal of motor is discussed, the fundamental principle of zoom FFT based on multiple modulations and its application method is analyzed. Simulation calculation and practical engineering test have indicated that zoom FFT technique based on multiple modulations can identify the nice frequency structure of a certain band and extract the character signal in stator current under induction motor rotor winding fault effectively.
  • Keywords
    fast Fourier transforms; fault diagnosis; induction motors; rotors; stators; fault character extraction; fault character signal; frequency structure; induction motor; multiple modulations; rotor winding fault; stator current; zoom FFT technique; Energy resolution; Fault diagnosis; Frequency; Induction motors; Rotors; Signal analysis; Signal processing; Signal resolution; Stator windings; Transducers; Zoom FFT analysis; character frequency signal; fault diagnosis; induction motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580267
  • Filename
    4580267