• DocumentCode
    1994587
  • Title

    A new method of diagnosing turbogenerator´s vibration fault based on fuzzy clustering analysis and wavelet packets transform

  • Author

    Bide, Zhang ; Caixin, Sun ; Jian, Ou ; Xuesong, Hu ; Yinchun, Zhou

  • Author_Institution
    Lab. of High Voltage Eng. & Electr. New Technol., Minist. of Educ., Chongqing, China
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    339
  • Abstract
    Combined with vibration fault features of a turbogenerator, a new method of fault diagnosis based on fuzzy clustering analysis and wavelet packets transform is proposed in this paper. The experimental results show that this method is available to diagnose the turbogenerator´s vibration fault and it can be used extensively in future
  • Keywords
    fault diagnosis; fuzzy set theory; statistical analysis; turbogenerators; wavelet transforms; fault diagnosis; fuzzy clustering analysis; turbogenerator; vibration fault features; wavelet packets transform; Discrete wavelet transforms; Fault diagnosis; Frequency; Laboratories; Low pass filters; Sun; Turbogenerators; Wavelet analysis; Wavelet packets; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    7-5062-5115-9
  • Type

    conf

  • DOI
    10.1109/ICEMS.2001.970681
  • Filename
    970681
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1994587