• DocumentCode
    1794826
  • Title

    A frequency-domain approach to crack-related fault detection

  • Author

    XingJian Jing

  • Author_Institution
    Dept. of Mech. Eng., Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    283
  • Lastpage
    288
  • Abstract
    Nonlinearity detection and characterization is a hot topic in data-driven engineering or industrial practice. This study theoretically investigates a novel frequency domain method for nonlinearity characterization. It is shown that, with output decomposition and regulation, the even order nonlinearity and crack-incurred nonlinearity (not a simple even order nonlinearity although at its initial stage) can all be effectively evaluated by the magnitude of the 2nd order harmonic response, and the latter is a linear function of the crack severity and can be accurately estimated with the proposed method. The results provide a useful frequency domain approach for nonlinearity detection and characterization.
  • Keywords
    crack detection; fault diagnosis; frequency-domain analysis; harmonic analysis; source separation; spectral analysis; 2nd order harmonic response; crack severity; crack-incurred nonlinearity; crack-related fault detection; data-driven engineering; even order nonlinearity; frequency domain method; frequency-domain approach; frequency-domain nonlinear decomposition; industrial practice; linear function; nonlinear ouput spectrum; nonlinearity characterization; nonlinearity detection; output decomposition; Couplings; Estimation; Frequency estimation; Frequency-domain analysis; Harmonic analysis; Nonlinear dynamical systems; Power harmonic filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007247
  • Filename
    7007247