• DocumentCode
    525983
  • Title

    Research and development On-line fault diagnosis device

  • Author

    Yao, Zheng ; Lou, Guohuan ; Wang, Zhaohua

  • Author_Institution
    Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    12-13 June 2010
  • Firstpage
    242
  • Lastpage
    245
  • Abstract
    The motors are widely used in industry and play an important role. Their statuses are related to the production and security directly. Wireless-intelligent device is presented for On-line diagnosing the complexity of motor faults, and wavelet packet decomposition and the principle of fuzzy are proposed in this paper based on analyzing the motor fault. Proved by experiment that wavelet packet can effectively de-noise and the fuzzy diagnosis principle is taken as basics. It can also be applied to other complex systems fault diagnosis and has certain portability.
  • Keywords
    electric motors; fault diagnosis; fault trees; fuzzy set theory; wavelet transforms; fuzzy diagnosis principle; motor fault analysis; online fault diagnosis device; wavelet packet decomposition; wireless-intelligent device; fault diagnosis; wavelet; wireless;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6944-4
  • Type

    conf

  • DOI
    10.1109/CCTAE.2010.5544322
  • Filename
    5544322