• DocumentCode
    3734361
  • Title

    Nonlinear vibration fault diagnosis of hydroelectric generator based on multi-scale wavelet

  • Author

    Wenliang Zhu;Songli Sun;Zhijun Qu

  • Author_Institution
    Engineering Research Center of Dredging Technology, Hohai University, Nanjin, China
  • fYear
    2015
  • Firstpage
    426
  • Lastpage
    430
  • Abstract
    The nonlinear vibration fault of hydroelectric generating set was common, and it was a major cause of leading to instability of hydroelectric generator system. This paper took the nonlinear vibration fault of hydroelectric generator as the research object, and simulated Benily hydroelectric generator test rig. Wavelet transform method was applied to analyze the hydroelectric generator vibration signal, and research in view of extracting the features of the nonlinear vibration fault. This article applied the method of multi-scale wavelet to study nonlinear vibration problems of hydroelectric generating set, and the results showed that the multi-scale wavelet method can achieve the diagnosis of friction fault.
  • Keywords
    "Decision support systems","Wavelet analysis","Vibrations","Algorithm design and analysis","Couplings","Fault diagnosis"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2015 Sixth International Conference on
  • Print_ISBN
    978-1-4799-1715-0
  • Type

    conf

  • DOI
    10.1109/ICICIP.2015.7388209
  • Filename
    7388209