• DocumentCode
    148375
  • Title

    Uncovering harmonic content via skewness maximization - a Fourier analysis

  • Author

    Ovacikli, Aziz Kubilay ; Paajarvi, Patrik ; LeBlanc, James P. ; Carlson, Johan E.

  • Author_Institution
    Rubico Vibration Anal. AB, Lulea, Sweden
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    481
  • Lastpage
    485
  • Abstract
    Blind adaptation with appropriate objective function results in enhancement of signal of interest. Skewness is chosen as a measure of impulsiveness for blind adaptation to enhance impacting sources arising from defective rolling bearings. Such impacting sources can be modelled with harmonically related sinusoids which leads to discovery of harmonic content with unknown fundamental frequency by skewness maximization. Interfering components that do not possess harmonic relation are simultaneously suppressed with proposed method. An experimental example on rolling bearing fault detection is given to illustrate the ability of skewness maximization in uncovering harmonic content.
  • Keywords
    Fourier analysis; adaptive filters; harmonic analysis; signal processing; Fourier analysis; adaptive filters; blind adaptation; defective rolling bearings; fundamental frequency; harmonic content; skewness maximization; Deconvolution; Harmonic analysis; Noise; Power system harmonics; Rolling bearings; Vibrations; Adaptive filters; harmonic analysis; higher order statistics; rolling element bearings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    6952135