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Nonlinear characteristics of induced spontaneous combustion process of sulfide ores

Journal of Central South University 2016年第12期23卷 3284-3292页

作者：潘伟吴超李孜军石英杨月平 School of Resources and Safety Engineering Central South University School of Nuclear Resources Engineering University of South China

To investigate the relationship between nonlinear parameters and spontaneous combustion tendency of sulfide ores, nine different sulfide ore samples were taken from a pyrite mine in China, and induced spontaneous combustion experiment was carried out in the laboratory. Different stages of the induced spontaneous combustion process were studied by integrating wavelet technology and nonlinear dynamics theory. The results show that ignition points of all the ore samples are above 330 ℃, indicating that sulfide ores of the pyrite mine are difficult to combust spontaneously under normal mining conditions. Spontaneous combustion process includes three stages： incubation stage, development stage and approaching stage. The average temperature rising rate of the three stages are 1.0 ~C/min, 2.0 ~C/min and 4.2 ~C/min, respectively. During the spontaneous combustion process, mean values of approximate entropy and correlation dimension increase at first, and then decrease in the following stage. The mean value of the maximum lyapunov exponent increases with the passage of reaction time. In a whole, correlation among the three nonlinear parameters firstly weakens, then enhances, and the best correlation period is at approaching stage. As ignition point increases, the maximum lyapunov exponent of approaching stage decreases. Therefore, combustible tendency of sulfide ores could be qualitatively evaluated based on the maximum lyapunov exponent of this stage.

关键词： sulfide ores induced spontaneous combustion nonlinear parameters ignition point maximum lyapunov exponent

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Controlling chaos in RCL-shunted Josephson junction by delayed linear feedback

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Chinese Physics B 2008年第1期17卷 111-116页

作者：冯玉玲沈柯 Department of Physics Changchun University of Science and Technology

The resistively-capacitively-inductively-shunted （RCL-shunted） Josephson junction （RCLSJJ） shows chaotic behaviour under some parameter conditions. Here a scheme for controlling chaos in the RCLSJJ is presented based on the linear feedback theory. Numerical simulations show that this scheme can be effectively used to control chaotic states in this junction into stable periodic states. Moreover, the different stable period states with different period numbers can be obtained by appropriately adjusting the feedback intensity and delay time without any pre-knowledge of this system required.

关键词： chaos control RCL-shunted Josephson junction maximum lyapunov exponent delayed linear feedback

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Stochastic Resonance as a Mathematical Model of an Electrogastrogram

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Journal of Physical Science and Application 2012年第6期2卷 186-194页

作者： Matsuura Yasuyuki Miyao Masaru Takada Hiroki Headquarters for Innovative Society-Academia Cooperation University of Fukui Fukui 910-8507 Japan Graduate School of Information Science Nagoya University Nagoya 464-8603 Japan Graduate School of Engineering University of FukuL Fukui 910-8507 Japan

An electrogastrogram （EGG） is a recording of the electrical activity in the stomach, as measured on the abdominal surface. In this study, the goal is to obtain a mathematical model of an EGG; to achieve this, the EGG of 14 subjects （seven males and seven females） will be obtained. Initially, the Wayland algorithm to the EGG to measure the degree of determinism is applied. However, it could not be determined whether the EGG could be generated by a chaotic process. In addition, the waveform of the electric potential in the interstitial cells of Cajal is similar to the graphs of the numerical solutions to the Van der Pol equation. Therefore, the Van der Pol equation to a periodic function was added, and random white noise was used to represent the intestinal motility and other biosignals. The EGG and numerical solutions were compared and evaluated on the basis of the translation error （Etrans） in the Wayland algorithm and the maximum lyapunov exponent （2） in Rosenstein＇s algorithm. By projecting the data from an obtained stationary EGG from the subjects, along with the numerical solutions, onto the Etrans-λ plane, the affinity between them was qualitatively evaluated. The EGG was well described by stochastic resonance from the stochastic differential equations.

关键词： Electrogastrography numerical solution Wayland algorithm maximum lyapunov exponent stochastic resonance.

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Effective Feature Selection for Short-term Earthquake Prediction Using NeuroFuzzy Classifier

Effective Feature Selection for Short-term Earthquake Predic...

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2010 Second IITA International Conference on Geoscience and Remote Sensing (IITA-GRS 2010)

作者： Leila Dehbozorgi Fardad Farokhi Scientific Association of Electrical and Electronic Engineering Islamic Azad University Centran Tehrasn Branch Assistant Professor Electrical Engineering Department Electrical Engineering Islamic Azad UniversityCentral Tehran Branch

Earthquakes is a serious sudden life threatening disaster for all kind of livings. Loss of life,property and depression are some common results of earthquakes for humankinds. The most important matter in this field is to predict earthquake time and strength. This study investigates an application of Neuro-Fuzzy classifier for short-term earthquake prediction using saved seismogram data. This method is able to predict earthquakes five minute before,with an acceptable accuracy （82.8571%）. The features were obtained from statistical and entropy parameters,Discrete Wavelet Transform （DWT）,Fast Fourier Transform （FFT）,Chaotic Features （maximum lyapunov exponent）,estimated power spectral density （PSD）,and the classifier used this extracted features to indicate whether the earthquake were takes place in the next following five minutes or not. Finally,after training of Neuro-Fuzzy classifier effective features were selected with UTA [1] algorithm.

关键词： Earthquake prediction Short-term prediction Neuro-Fuzzy Classifier Discrete Wavelet Transform (DWT) Feature Selection maximum lyapunov exponent

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Chaotic Characteristics of NC Table based on Phase Space Reconstruction

Chaotic Characteristics of NC Table based on Phase Space Rec...

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第二届国际测量仪器与测试自动化学术会议

作者： Wang Linhong~(1 2)Wu Bo~2 (1 Department of Mechatronics Nanyang Institute of Technology China) (2 School of Mechanical Science and Engineering Huazhong University of Science and Technology China)

＜正＞The dynamic properties of NC（Numerical Control） table interfere directly with the accuracy and surface quality of work piece machined by CNC（Computer Numerical Control） *** space reconstruction is an effective approach used to research dynamic behaviors of a system with measured time *** means of the theory and method of phase space reconstruction,correlation dimension and maximum lyapunov exponent,dynamic time series measured from NC table are *** characteristic quantities as power spectrum, phase trajectories,correlation dimension and maximum lyapunov exponent etc are extracted from measured time series. The chaotic characteristic of dynamic properties of NC table is revealed via various *** a judgment can be formed that NC table is a nonlinear dynamic *** research represents a basis for the dynamic system discrimination of CNC machine.

关键词： NC table chaotic characteristic phase-space reconstruction correlation dimension maximum lyapunov exponent

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Compound Structures of Six New Chaotic Attractors in a Solely-Single-Coefficient Jerk Model with Arctangent Nonlinearity

Compound Structures of Six New Chaotic Attractors in a Solel...

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2010 Chinese Control and Decision Conference

作者： Teerachot Siriburanon Banlue Srisuchinwong Teera Nontapradit School of Information Computer and Communication Technology（ICT）Sirindhorn International Institute of TechnologyThammasat UniversityPathum-ThaniThailand12000

＜正＞Six new chaotic attractors in a solely-single-coefficient jerk model are presented with new coefficients and new arctangent *** addition,compound structures of such new attractors are demonstrated through the use of a half-image operation using a control parameter *** positively appropriate value of h isolates the right half-image attractors whilst the negatively appropriate value of h isolates the left half-image *** images can then be merged together as a compound *** of bifurcation diagrams,Poincare maps and maximum lyapunov exponent have also been demonstrated.

关键词： Chaos Jerk Model Compound Structures Arctangent Nonlinearity maximum lyapunov exponent

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