• DocumentCode
    3393416
  • Title

    Wavelet analysis based condition monitoring of fuelling machine grab cables

  • Author

    Chen, Weirong ; Xiao, Liu ; Song, Yonghua ; Zhao, Wei

  • Author_Institution
    Inst. of Electrification & Autom., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2002
  • fDate
    6-7 Nov. 2002
  • Firstpage
    299
  • Lastpage
    302
  • Abstract
    The increased challenges to reduce operating costs, enhance the availability of the generating and transmission equipment and improve the supply of power and service to customers, have produced a need for condition monitoring of power system equipment. The fuelling machine grab cables are subjected to repeated bending around a series of pulleys that induce a twist in the cables. The twisting of the cables ultimately results in the failure of the cables. In this paper, a new method, WACM, is proposed. Wavelet analysis is used to detect the twisting degree. The calculation results show that this method is superior to DLCM.
  • Keywords
    condition monitoring; fault diagnosis; power system analysis computing; power system measurement; wavelet transforms; WACM; bending; condition monitoring; costs; fault diagnosis; fuelling machine grab cables; power system equipment; twisting degree; wavelet analysis; Availability; Cables; Condition monitoring; Degradation; Power generation; Power supplies; Power system analysis computing; Pulleys; Testing; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Decentralized System, 2002. The 2nd International Workshop on
  • Print_ISBN
    0-7803-7624-2
  • Type

    conf

  • DOI
    10.1109/IWADS.2002.1194687
  • Filename
    1194687