• DocumentCode
    1902339
  • Title

    Winding function approach for induction machine fault detection

  • Author

    Pu Shi ; Zheng Chen ; Vagapov, Yuriy ; Zouaoui, Zoubir

  • Author_Institution
    Eng. Dept., Glyndwr Univ., Wrexham, UK
  • fYear
    2013
  • fDate
    27-30 Aug. 2013
  • Firstpage
    323
  • Lastpage
    328
  • Abstract
    This paper introduces a novel method for motor fault detection under varying load conditions. Model based induction machine broken rotor-bar fault performances are discussed. Winding function approach (WFA) based mathematical model is developed to provide indication information regarding motor parameter evolution under the influence of load level and fault severity. Through further analysis the motor parameters evolution, broken rotor-bar fault detection indexes are developed. Moreover, these indexes can assess rotor fault severity based on stator current and rotor speed. Stator current and rotor speed are used to demonstrate correlations between these parameters and broken rotor bar severity. Simulations and experimental results confirm the validity and effectiveness of the proposed approach.
  • Keywords
    asynchronous machines; fault diagnosis; rotors; stators; WFA; broken rotor bar severity; broken rotor-bar fault detection index; induction machine fault detection; mathematical model; motor fault detection; motor parameter evolution; rotor fault severity; rotor speed; stator current; winding function approach; Bars; Induction motors; Rotors; Stator windings; Windings; Broken Rotor Bars; Induction Machine; Winding Function Approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/DEMPED.2013.6645735
  • Filename
    6645735