• DocumentCode
    560667
  • Title

    Notice of Retraction
    On-line detection of rotor bar breaking based on band-pass filter and Hilbert envelope analysis

  • Author

    Yan Qin ; Qisheng Liu

  • Author_Institution
    ZhenJiang Watercraft Coll. of PLA, Zhenjiang, China
  • Volume
    1
  • fYear
    2011
  • fDate
    8-9 Sept. 2011
  • Firstpage
    331
  • Lastpage
    334
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Rotor bar breaking is one frequent fault of induction motor. The actual operating conditions of motors must be taking account in detecting rotor bar breaking fault on-line. The band-pass filter can remove the interference signal effectively cause by harmonic of the network and inducted by the on-line detection system. The envelope of Hilbert has certain robustness in signal processing even taking into account the quality of power supply and the load fluctuation of the induction motors. Based on theoretical analysis, simulation and experimentation, the paper presents a new on-line detection scheme that combines the band-pass filter and Hilbert envelope analysis.
  • Keywords
    Hilbert transforms; band-pass filters; induction motors; rotors; Hilbert envelope analysis; band-pass filter; induction motors; load fluctuation; online detection; rotor bar breaking; theoretical analysis; Band pass filters; Fluctuations; Harmonic analysis; Induction motors; Power harmonic filters; Rotors; Stators; Hilbert envelope; band-pass filter; detection Introduction (Heading 1); induction motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Automation Conference (PEAM), 2011 IEEE
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9691-4
  • Type

    conf

  • DOI
    10.1109/PEAM.2011.6134868
  • Filename
    6134868