Characterization for nonpremixed biodiesel/air jet flames instability is investigated by the 0-1 test for chaos and recurrence plots. Test conditions involve biodiesel from Jatropha curcas. Lfueled flames have inlet oil pressure of 0.2–0.6MPa, fuel flow rates Q1 of 15–30 kg/h, and combustion air flow rate Q2 of 150–750m3/h. This method is based on image analysis and nonlinear dynamics. Structur...

The work is aimed at using the chaos synchronization error dynamics (CSED) technique for defect pattern recognition in gas insulated switchgear (GIS). The radiated electromagnetic waves generated due to internal defects were measured by the self-made ultrahigh frequency (UHF) micro-strip antenna, so as to determine whether partial discharge will occur. Firstly, a data pretreatment is performed ...

We study the probability densities of finite-time or local Lyapunov exponents in low-dimensional chaotic systems. While the multifractal formalism describes how these densities behave in the asymptotic or long-time limit, there are significant finite-size corrections, which are coordinate dependent. Depending on the nature of the dynamical state, the distribution of local Lyapunov exponents has...

Introduction The apparent existence of a substantial liquid water layer beneath Europa’s icy crust [1, 2, 3] affects the transfer of energy from the tidally-heated rocky interior to the surface ice layer. Better understanding of the characteristic length, time, and velocity scales of flow in the liquid water layer can improve our understanding of the processes that reshape Europa’s surface. Of ...

We propose in this paper a new simple continuous-time piecewise-linear three dimensional system for chaos generation. Nonlinearity in this model is introduced by the characteristic function of the Chua’s circuit given in [1]. Simulated results of some chaotic attractors are shown and justified numerically via computing the largest Lyapunov exponent. The possibility and the robustness of the cir...

-This paper introduced a method of decomposing non-stationary runoff time series. By wavelet decomposing, the runoff time series is decomposed into stationary time series and stochastic time series, and AR(n) model be imposed for forecasting stationary time series. By studying chaos characteristic of stochastic time series, this paper put forward a nonlinear chaos dynamics-forecasting model to ...

Using a simplified nonlinear element in a second order nonautonomous parallel LCR circuit, we obtain a wide spectrum of dynamics, including chaos with high complexity via torus breakdown. Due to flexibility in choosing the break points in the (v− i) characteristic of the nonlinear element, we achieve enlargement of the negative conduction region, large magnitude symmetries of the chaotic attrac...

We study the fingerprint of the Arnol'd diffusion in a quantum system of two coupled nonlinear oscillators with a two-frequency external force. In the classical description, this peculiar diffusion is due to the onset of a weak chaos in a narrow stochastic layer near the separatrix of the coupling resonance. We have found that global dependence of the quantum diffusion coefficient on model para...

Excitable media are a generic class of models used to simulate a wide variety of natural systems including cardiac tissue. Propagation of excitation waves in this medium results in the formation of characteristic patterns such as rotating spiral waves. Instabilities in these structures may lead to spatiotemporal chaos through spiral turbulence, which has been linked to clinically diagnosed cond...

Introduction Cardiovascular disease is a major cause of premature dying. If any patient is diagnosed at early stage of cardiovascular disease [(myocardial infarction (MI)], it may be possible to reverse disease process. Functional behavior of heart is represented by electrocardiogram (ECG), signals of which are quasiperiodic (Fig. 1). Various transform techniques (Fourier, wavelet etc.) are ine...