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This study utilised correlation and distribution analyses to investigate the acceptability of application of two fractal dimension estimators to characterise the waveforms originating from excited nonlinear pendulum. Parameters selection sensitive simulation of the excited nonlinear pendulum waveforms was performed with the constant time step fourth order Runge-Kutta algorithm with codes developed in FORTRAN90. However, the waveforms validated by Gregory and Jerry (1990) and treated as time series were characterized using developed codes of Carlos (1998) and Hurst fractal dimension estimation procedures. The validation results compare qualitatively well and the correlation coefficients between Carlos (1998)-based and Hurst’s exponent based dimension estimate for the angular displacement and velocity are respectively R 2 = 0.68 and R 2 = 0.66. A higher correlation coefficient (R 2 = 0.84) existed between the estimated Hurst’s exponent of the angular displacement and velocity. The Hurst distribution exhibited both full spectrum and peak values range 0.04 to 1.00 and percentage probability range 2 to 12. The sum of this study results is the interchange possibility and utility of the two fractal dimension estimators as waveforms characterising tool.
Ajide O.O.. 2013. \u201cCorrelation and Distribution Analyses of Estimated Fractal Dimensions and Hurstas Exponent from Waveforms of Excited Nonlinear Pendulum\u201d. Global Journal of Research in Engineering - A : Mechanical & Mechanics GJRE-A Volume 13 (GJRE Volume 13 Issue A7): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 102
Country: Nigeria
Subject: Global Journal of Research in Engineering - A : Mechanical & Mechanics
Authors: Salau T. A.O., Ajide O.O. (PhD/Dr. count: 0)
View Count (all-time): 163
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Publish Date: 2013 08, Mon
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This study utilised correlation and distribution analyses to investigate the acceptability of application of two fractal dimension estimators to characterise the waveforms originating from excited nonlinear pendulum. Parameters selection sensitive simulation of the excited nonlinear pendulum waveforms was performed with the constant time step fourth order Runge-Kutta algorithm with codes developed in FORTRAN90. However, the waveforms validated by Gregory and Jerry (1990) and treated as time series were characterized using developed codes of Carlos (1998) and Hurst fractal dimension estimation procedures. The validation results compare qualitatively well and the correlation coefficients between Carlos (1998)-based and Hurst’s exponent based dimension estimate for the angular displacement and velocity are respectively R 2 = 0.68 and R 2 = 0.66. A higher correlation coefficient (R 2 = 0.84) existed between the estimated Hurst’s exponent of the angular displacement and velocity. The Hurst distribution exhibited both full spectrum and peak values range 0.04 to 1.00 and percentage probability range 2 to 12. The sum of this study results is the interchange possibility and utility of the two fractal dimension estimators as waveforms characterising tool.
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