• DocumentCode
    251545
  • Title

    Broken bar fault diagnosis for induction machines under load variation condition using discrete wavelet transform

  • Author

    Pu Shi ; Zheng Chen ; Vagapov, Yuriy ; Davydova, Anastasia ; Lupin, Sergey

  • Author_Institution
    Glyndwr Univ., Wrexham, UK
  • fYear
    2014
  • fDate
    26-29 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper presents a new approach for detection of broken rotor bar fault in squirrel cage induction motors operating under varying load conditions. A mathematical model used in the presented method was developed using winding function approach to provide indication references for induction motor parameters under load variation. The model shows a strong relationship between broken rotor bar fault and stator current. The method is based on analysis of stator current using discrete wavelet transform. To verify the proposed method a squirrel cage induction motor with 1, 2 and 3 broken bars at no-load, half- and full-load conditions was investigated. Obtained experimental results confirmed the validity of the proposed approach.
  • Keywords
    discrete wavelet transforms; fault diagnosis; mathematical analysis; squirrel cage motors; broken bar fault diagnosis; broken rotor bar fault detection; discrete wavelet transform; induction machines; load variation condition; mathematical model; squirrel cage induction motors; stator current; varying load conditions; winding function approach; Bars; Indexes; Induction motors; Rotors; Stators; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design & Test Symposium (EWDTS), 2014 East-West
  • Conference_Location
    Kiev
  • Type

    conf

  • DOI
    10.1109/EWDTS.2014.7027059
  • Filename
    7027059