• DocumentCode
    1803094
  • Title

    Study of early warning for servo-mechanism faults

  • Author

    Yan, Zhao ; Min, Huang ; Ming, Han

  • Author_Institution
    Inst. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    3
  • fYear
    2011
  • fDate
    24-26 Dec. 2011
  • Firstpage
    1915
  • Lastpage
    1918
  • Abstract
    Data acquisition is designed to collect the signals of current, vibration, etc. from the weather radar servo-mechanism. In order to achieve the purposes of early warning to the weather radar servo-mechanism faults, Wavelet packed feature extraction method is used in collection data, and the wavelet packed energy spectrum method is used to make the faults signals quantized and analyzed. The on-site installation verification test proved that the weather radar servo-mechanism faults diagnosis method is a more convenient and accurate method which is based on the wavelet packed enemy spectrum analysis.
  • Keywords
    atmospheric techniques; data acquisition; feature extraction; geophysical signal processing; meteorological radar; servomechanisms; data acquisition; early warning signal; installation verification test; wavelet packed enemy spectrum analysis; wavelet packed energy spectrum; wavelet packed feature extraction; weather radar servo-mechanism fault diagnosis; Digital signal processing; Energy measurement; Radar imaging; Servomotors; Energy spectrum; early warning for the faults; servo-mechanism; wavelet packed; weather radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182344
  • Filename
    6182344