• DocumentCode
    1669534
  • Title

    Broken Rotor Bar Detection in Line-Fed Induction Machines Using Complex Wavelet Analysis of Startup Transients

  • Author

    Briz, Fernando ; Degner, Michael W. ; García, Pablo ; Bragado, David

  • Author_Institution
    Univ. of Oviedo, Gijon
  • fYear
    2007
  • Firstpage
    2254
  • Lastpage
    2261
  • Abstract
    Fault detection of line-connected induction machines using complex vector wavelets to analyze the transient stator currents during startup is proposed in this paper. When a machine is connected to the line, the startup transient is characterized by large stator (and rotor) currents, as well as by large slips (i.e., rotor speed significantly smaller than the excitation frequency). The stator current of machines with damaged rotors include large rotor speed dependent components during the startup transient. Such components, however, fade away or coincide with components not containing fault related information (e.g., saturation-induced components) once the machine reaches steady-state. Because of this, the startup transient provides an opportunity for performing diagnostics on the machine. The paper shows that the information contained in the startup transient signal can be effectively separated and detected using a complex vector wavelet transform.
  • Keywords
    asynchronous machines; fault diagnosis; machine testing; rotors; starting; stators; wavelet transforms; broken rotor bar detection; complex vector wavelet transform; complex wavelet analysis; fault detection; line-connected induction machines; line-fed induction machines; rotor speed dependent components; startup transients; transient stator currents; Discrete wavelet transforms; Fault detection; Frequency; Induction machines; Residual stresses; Stators; Steady-state; Thermal stresses; Transient analysis; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2007. 42nd IAS Annual Meeting. Conference Record of the 2007 IEEE
  • Conference_Location
    New Orleans, LA
  • ISSN
    0197-2618
  • Print_ISBN
    978-1-4244-1259-4
  • Electronic_ISBN
    0197-2618
  • Type

    conf

  • DOI
    10.1109/07IAS.2007.341
  • Filename
    4348090