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Characterization of nonlinear and chaotic motions by the cepstral analysis

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Abstract

A technique based on the power cepstrum has been developed to analyze and characterize data of various nonlinear and chaotic motions. For repeatability and ready availability, nonlinear response data of a Duffing oscillator and van der Pol oscillator, generated numerically by the fourth order Runge-Kutta algorithm, were used in the investigation. Results obtained by the proposed technique using spectrum, cepstrum, and specepstrum which is defined as the spectrum of the logarithmic cepstrum, indicate that it is superior to methods previously available in the literature.

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References

  1. Moon, F. C., Chaotic Vibrations, John Wiley and Sons, New York, 1987.

    Google Scholar 

  2. Mandelbrot, B. B., Fractals, Form, Chance, and Dimension, W. H. Freeman, San Francisco, 1977.

    Google Scholar 

  3. Grebogi, C., Ott, E., and Yorke, J. A., ‘Fractal basin boundaries, long lived chaotic transients and unstable-unstable pair bifurcation’, Physical Review Letters 50 (13), 1983, 935–938.

    Google Scholar 

  4. Wolf, A., ‘Quantifying chaos with Lyapunov exponents’, in Nonlinear Science, Theory and Application, A. V. Holden (ed.), Manchester University Press, 1984.

  5. Wolf, A., Swift, J. B., Swinney, H. L., and Vasano, ‘Determining Lyapunov exponents from a time series’, Physica D 16, 1985, 285–317.

    Google Scholar 

  6. Bogert, B. P., Healy, M. J. R. and Tukey, J. W., ‘The quefrency analysis of time series for echoes: Cepstrum, pseudo-autocovariance cross-cepstrum and Saphe-cracking’, in Proceedings of Symposium on Time Series Analysis, M. Rosenblatt (ed.), Wiley, New York, 1963, 209–243.

    Google Scholar 

  7. Noll, A. M., ‘Cepstrum pitch determination’, Journal of the Acoustical Society of America 41 (2), 1967, 293–309.

    Google Scholar 

  8. Randall, R. B., ‘Cepstrum analysis and gearbox fault diagnosis’, Bruel & Kjaer: Application Notes, 1980.

  9. Fang, T. and Dowell, E. H., ‘Numerical simulations of periodic and chaotic responses in a stable Duffing system’, International Journal of Non-Linear Mechanics 22 (5), 1987, 401–425.

    Google Scholar 

  10. To, C. W. S., ‘Effect of time step and computer precision on characteristics of chaotic motions’, Journal of Sound and Vibration (to be submitted).

  11. Shaw, R., ‘Strange attractors, chaotic behavior, and information flow’, Z. Naturf. 36a, 1981, 80–112.

    Google Scholar 

  12. Gukenheimer, J. and Holmes, P., Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields, Springer-Verlag, New York, 1983.

    Google Scholar 

  13. Thompson, J. M. T. and Stewart, H. B., Nonlinear Dynamics and Chaos, John Wiley and Sons, New York, 1986.

    Google Scholar 

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To, C.W.S., Jin, Z.S. Characterization of nonlinear and chaotic motions by the cepstral analysis. Nonlinear Dyn 2, 353–365 (1991). https://doi.org/10.1007/BF00045669

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  • DOI: https://doi.org/10.1007/BF00045669

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