• DocumentCode
    1656111
  • Title

    The Research and Application on Wavelet Energy Eigenvalues of a Faulty Generator Set

  • Author

    Rongtao, Hou

  • Author_Institution
    Nanjing Univ. of Inf. Sci. & Technol., Nanjing
  • fYear
    2007
  • Firstpage
    530
  • Lastpage
    534
  • Abstract
    I studied the fault feature of the generator set and the characteristics of wavelet packet theory for signal de-noising, and give a method of "energy-fault". The vibration signal of the generator set in different states is analyzed by using the signal re-construction technique of the wavelet packet theory. The time domain method is given for the generator set fault diagnosis. The analysis shows, the "energy-fault" diagnosis which is based on wavelet theory is dependable and applied in the vibration fault diagnose of the generator set, and is a good assistant of fault diagnostic. The experiment results show that the wavelet packet theory can be used to directly identify the state of the generator set, and provide a credible new idea for complex machinery fault diagnosis.
  • Keywords
    eigenvalues and eigenfunctions; electric generators; fault diagnosis; power generation faults; signal denoising; signal reconstruction; wavelet transforms; energy-fault method; faulty generator set; signal denoising; signal reconstruction; vibration signal; wavelet energy eigenvalues; wavelet packet theory; Eigenvalues and eigenfunctions; Fault diagnosis; Frequency; Petroleum; Rotors; Shafts; Signal analysis; Signal generators; Vibrations; Wavelet packets; Complex machinery; Fault diagnosis; Generator set; Wavelet packet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2007. CCC 2007. Chinese
  • Conference_Location
    Hunan
  • Print_ISBN
    978-7-81124-055-9
  • Electronic_ISBN
    978-7-900719-22-5
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.4347539
  • Filename
    4347539