• DocumentCode
    477594
  • Title

    The Feature Extraction Based on Nonlinear Partial Orthogonal Analysis with B-Spline Function for Signal of Vibrational Sensors

  • Author

    Liu Gui-Guo ; Yue Bin ; Huang Dao ; Huang Hai-Yan

  • Author_Institution
    State Eng. Res. Center of Ind. Autom., ECUST, Shanghai
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    1171
  • Lastpage
    1175
  • Abstract
    The new method of feature extraction based on nonlinear partial orthogonal analysis with B-spline function for signal of vibrational sensors is proposed in the paper. Firstly, the nonlinear signal is mapped into linear space; then, the signal is analyzed in the linear space; finally, a set of eigenvalue vectors are obtained with nonlinear partial orthogonal analysis. The vectors reflect a pattern of the signal steadily. The experiment for vibrational signals of normal and abnormal rolling bearings shows that the pattern of every signal is extracted with the method steadily and effectively.
  • Keywords
    eigenvalues and eigenfunctions; feature extraction; rolling bearings; sensors; signal processing; splines (mathematics); vibrations; abnormal rolling bearings; b-spline function; eigenvalue vectors; feature extraction; nonlinear partial orthogonal analysis; nonlinear signal; normal rolling bearings; vibrational sensors; Automation; Computer industry; Eigenvalues and eigenfunctions; Electronics industry; Fault diagnosis; Feature extraction; Intelligent sensors; Paper technology; Signal analysis; Spline; B-spline function mapping; fault diagnosis; feature extraction; nonlinear partial orthogonal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.209
  • Filename
    4659677