• DocumentCode
    3546188
  • Title

    Application of nonlinearity fitting order analysis arithmetic in nonstationary signals analysis

  • Author

    Kang, Haiying ; Qi, Yanjie ; Yan, Wen ; Zheng, Haiqi

  • Author_Institution
    Dept. of Guns Eng., Shijiazhuang Mech. Eng. Coll., Shijiazhuang, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    In order to solve vibration signals inaccurate character in gearbox during nonstationary course with traditional computed order analysis, the computed order analysis is improved and the nonlinearity fitting order analysis method is explored. Firstly, the nonstationary vibration signals in the gearbox are sampled at constant time increments in time-domain and then the data are resampled with nonlinearity fitting order analysis arithmetic. The data at constant angle increments in angle-domain are obtained. Therefore, the instantaneously signals in time-domain is changed into pseudo-stationary ones in angle-domain. At last, the signals in angle-domain are analyzed and the nonlinearity fitting order spectrum is obtained. The outcome shows that the precision of the data resampled has been enhanced with nonlinearity fitting order analysis than with the traditional computed order analysis. The nonstationary signals in time-domain are translated into pseudo-stationary ones in angle-domain. It is trenchancy supplement for traditional computed order analysis and has more amplitude appliance foreground.
  • Keywords
    nonlinear estimation; signal sampling; vibrations; gearbox; nonlinearity fitting order analysis; nonstationary signals analysis; pseudostationary signals; vibration signals; Arithmetic; Costs; Educational institutions; Frequency; Machinery; Military computing; Sampling methods; Signal analysis; Time domain analysis; Vibrations; computed order tracking; gearbox; nonlinearity fitting order analysis; nonstationary siangls;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274732
  • Filename
    5274732