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Mechanical Fault Diagnosis Based on Band-Phase-Randomized Surrogate Data and Multifractal
fault diagnosis Band-Phase-Randomized surrogate data
2011/8/4
The vibration signals of machinery with various faults often show clear nonlinear characteristics. Currently, fractal dimension analysis as the common useful method for nonlinear signal analysis is a ...
Nonlinear dynamic analysis of mitral valve doppler signals: surrogate data analysis
Doppler mitral valve largest lyapunov exponent correlation dimension surrogate data ROC
2010/10/12
In our study, the nonlinear dynamics of mitral valve Doppler signals from 32 healthy and 28 patients with mitral valve stenosis was evaluated using by the computation of Lyapunov exponents, correlatio...
Nonlinear dynamic analysis of mitral valve doppler signals: surrogate data analysis
Doppler mitral valve largest lyapunov exponent correlation dimension surrogate data ROC
2010/3/17
In our study, the nonlinear dynamics of mitral valve Doppler signals from 32 healthy and 28 patients with mitral valve stenosis was evaluated using by the computation of Lyapunov exponents, correlatio...
Nonlinear analysis of magnetospheric data Part II. Dynamical characteristics of the AE index time series and comparison with nonlinear surrogate data
Nonlinear analysis magnetospheric data Dynamical characteristics AE index time series
2009/11/13
In this study we have used dynamical characteristies such as Lyapunov exponents, nonlinear dynamic models and mutual information for the nonlinear analysis of the magnetospheric AE index time series. ...
Nonlinear analysis of magnetospheric data Part I. Geometric characteristics of the AE index time series and comparison with nonlinear surrogate data
Nonlinear analysis magnetospheric data Geometric characteristics AE index time series
2009/11/13
A long AE index time series is used as a crucial magnetospheric quantity in order to study the underlying dynainics. For this purpose we utilize methods of nonlinear and chaotic analysis of time serie...
Streamflow dynamics at the Puget Sound,Washington:application of a surrogate data method
Streamflow dynamics Puget Sound surrogate data method
2009/11/9
Recent progress in nonlinear dynamic theory has inspired hydrologists to apply innovative nonlinear time series techniques to the analysis of streamflow data. However, regardless of the method employe...
Statistical characteristics of surrogate data based on geophysical measurements
Statistical characteristics surrogate data geophysical measurements
2009/11/9
In this study, the statistical properties of a range of measurements are compared with those of their surrogate time series. Seven different records are studied, amongst others, historical time series...
Improved preservation of autocorrelative structure in surrogate data using an initial wavelet step
preservation autocorrelative structure surrogate data initial wavelet step
2009/11/2
Surrogate data generation algorithms are useful for hypothesis testing or for generating realisations of a process for data extension or modelling purposes. This paper tests a well known surrogate dat...