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31st Chinese control Conference, CCC 2012

作者： Xinbin, Li Xi, Sun Qiang, Chen Yun Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

ISBN: (纸本)9789881563811

In this paper, Fuzzy C-Means (FCM) is adopted to constitute multiple classifiers group to classify the bearing failure and its clustering centers are optimized by Particle Swarm Optimization (PSO) algorithm with global optimization and fast convergence characteristics. Classification recognition rate obtained by FCM is integrated by fuzzy integral information fusion system to gain the final result, in which fuzzy measure also is optimized by the PSO algorithm. Simulation of identifying the bearing inner race, outer race and rolling bodies fault, the results show that the classifier improves the recognition accuracy rate of the fault diagnosis. © 2012 Chinese Assoc of Automati.

关键词： Failure analysis

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A New Duffing-Lorenz Chaotic Algorithm and Its Application in Image Encryption

A New Duffing-Lorenz Chaotic Algorithm and Its Application i...

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International Conference on control engineering and Communication Technology (ICCECT)

作者： Jianming Liu Huijing Lv Key Lab of Industrial Computer Control Engineering of Hebei Province in Yanshan University Qinhuangdao P.R China

ISBN: (纸本)9781467344999

The Duffing and Lorenz chaotic algorithm proposed of today are too simple in structure and have inadequate parameters, so that they are not suitable for the encryption in cryptography. By mixing the Duffing chaotic algorithm with the Lorenz chaotic algorithm, a new six-dimensional chaotic cryptographic algorithm with a more complex structure is proposed. The Lyapunov exponent simulation shows that the new chaotic algorithm has strong chaotic features. It can be used in the image encryption after undergoing a newly designed dynamic mapping.

关键词： Heuristic algorithms Chaotic communication Algorithm design and analysis Encryption Histograms

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The Overlayed Characteristics of Chen and Duffing Chaos and Its Circuit Realization

The Overlayed Characteristics of Chen and Duffing Chaos and ...

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International Conference on control engineering and Communication Technology (ICCECT)

作者： Jianming Liu Lejun Li Key Lab of Industrial Computer Control Engineering of Hebei Province in Yanshan University Qinhuangdao P.R. China

In order to analyze the overlayed characteristics of Chen and Duffing chaotic phenomenon appeared in the electric power system, a new complex chaotic model is produced by overlaying Chen chaotic model with Duffing chaotic model. The features of phase space maps, Lyapunov exponents maps and time domain of the new complex chaotic model are analysed. The Lyapunov exponent simulation results of the chaotic model show that new complex chaotic model has strong chaotic features. The results of theoretical analysis and experiment show that the new complex chaotic model belongs to a hyperchaotic model. Finally, the analog circuits are designed based on the new complex chaotic model.

关键词： Mathematical model Chaotic communication Power systems Equations Analytical models Analog circuits

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Sparse online LS-SVM based on modified particle swarm optimization algorithm and application

Sparse online LS-SVM based on modified particle swarm optimi...

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2012 3rd International Conference on Intelligent control and Information Processing, ICICIP 2012

作者： Zhang, Weiping Niu, Peifeng Li, Guoqiang Institute of Electrical Engineering Yanshan University China Qinhuangdao Institute of Technology CO 066100 China Key Lab. of Industrial Computer Control Engineering of Hebei Province National Engineering Research Center for Equipment and Technology of Cold Strip Rolling CO 066004 China Institute of Electrical Engineering Yanshan University CO 066004 China

ISBN: (纸本)9781457721427

In this paper, A simple and effective mechanism is proposed to realize the parsimoniousness of the online least squares support vector machine. Hence, the response time is curtailed. Besides, a modified Particle Swarm Optimization (PSO) algorithm is proposed to ascertain the optimal model parameters. Simulation results show that it outperforms GA and common PSO algorithms and LS-SVM model based on the modified PSO algorithm has the best regression accuracy and generalization ability. The sparse online LS-SVM algorithm is applied to build a turbine heat rate forecasting model, which possesses dynamic prediction functions. © 2012 IEEE.

关键词： Particle swarm optimization (PSO)

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Object Tracking Method Based on SURF

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AASRI Procedia 2012年 3卷 351-356页

作者： Hu Shuo Wu Na Song Huajun Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Key Lab of Measurement Technology & Instrumentation of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Institute of Information and Control Engineering China University of Petroleum (East China) Dongying 257061 China

An object tracking algorithm based on SURF is presented in this paper. Interest points are detected by SURF detector in reference region which is located in the first frame manually. In the following sequences, the SURF feature points are extracted in a larger window which is selected as test region. In the matching stage, we calculate the Euclidean distance between the descriptor vectors of interest points in the test image and ones in the reference image. The proposed algorithm is implemented on an embedded platform with TI's DM6446 high performance processor. The experimental results show that our system implements a real-time tracking with robustness against appearance variations, scale change, and cluttered scenes.

关键词： Object track SURF descriptor Feature detection DM6446

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Study on parameter selection of phase space reconstruction for chaotic time series

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Advances in Information Sciences and Service Sciences 2012年第2期4卷 67-77页

作者： Zhang, Wenyuan Ma, Yunfei Yang, Gang Department of Computer EandA College Hebei Normal University of Science and Technology Qinhuangdao 066004 Hebei China Key Laboratory of Hebei Province Industrial Computer Control Engineering Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 Hebei Province China

Based on the principle that the selection of delay time and embedding dimension has no correlation in the process of phase space reconstruction, this paper puts forward a new method of identifying the embedding dimension by Cao Liangyue Theory (CAO Theory) after the delay time is identified by Mutual Information Function. By means of the numerical verification of a few typical examples of chaotic dynamic system, the result shows that the method can identify the valid delay time of phase space reconstruction and the best embedding dimension. In addition, a new way of identifying the chaotic signal is provided and this method can effectively reconstruct the phase space of the original system from the time series.

关键词： Time series

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Study on modeling and stability analysis of nonlinear transmission system of wind turbine generator system

Study on modeling and stability analysis of nonlinear transm...

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第23届过程控制会议

作者： Meng Zong Fu Liyuan Song Minghou Key Laboratory of Measurement Technology and Instrumentation of Hebei Province Yanshan University Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qin

The nonlinear dynamical model of wind turbine generator drive system is presented considering nonlinear stiffness of the drive system. The frequency characteristics of wind turbine drive system incented by different forms, such as phase plane and Poincaré section are studied by simulation. The stability of wind turbine generator drive system is analyzed by using bifurcation and chaos theories. The stability of the periodic motion and the process of period-doubling bifurcation into chaos are further studied, and the effect of nonlinear stiffness on stability of wind turbine generator drive system is showed. The results show that negative nonlinear stiffness is beneficial to keep the stability of system, and when the chaos appears on the system, incentive parameter increases as the negative nonlinear stiffness increases.

关键词： Wind turbine generator system Drive system Dynamical model Nonlinear stiffness Bifurcation and chaos

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Based on multi-sensor information fusion circulating fluidized bed boiler combustion process clustering control research

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Advances in Information Sciences and Service Sciences 2012年第3期4卷 35-43页

作者： Ma, Yunfei Niu, Peifeng Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Qinhuangdao 066004 China

Over the decade, due to the fact that the global energy resources are in deadly shortage, much emphasis is put on the energy consumption in thermal power throughout the world. Following developed is Circulating Fluidized Bed Boiler (CFBB) in recent years, a kind of combustion boiler that can clean and desulfurize the coal efficiently in the combustion process. Circulating Fluidized Bed Boiler (CFBB) is a control object with features of time varying parameters, large delay, and multivariable control tightly coupled. Noticeably, many factors influence the combustion process. This paper designs a three level ART2-BP-BP of data fusion--fusion cluster control system based on methods of multi-sensor information fusion and cluster analysis. It completes data fusion from the data level, the feature level to the decision level. Especially, the concept of Situation Threat Space aiming at the potential threats in CFBB is presented. Results of simulation show that the control system in this paper is feasible and effective, in particular, the control system still has more satisfactory control effect in the case of a variety of sensor failures.

关键词： Fluidized beds

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Predictive control for Energy Efficiency in Wireless Cellular Networks

Predictive Control for Energy Efficiency in Wireless Cellula...

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IEEE Conference on Vehicular Technology (VTC)

作者： Shuhuan Wen F. Richard Yu Key Laboratory of Industrial Computer Control Engineering of Hebei Yanshan University Qinhuangdao China Department of Systems and Computer Engineering Carleton University Ottawa ONT Canada

Coordinated multipoint (CoMP) communication is a new method that improves energy efficiency, extends cell coverage, and increases capacity in cellular networks. However, since channel state information from the involved cells is needed in CoMP systems, practical systems that employ CoMP techniques suffer from constraints imposed by the backhaul network. In this paper, we take a novel approach to study the energy efficiency issues in cooperative wireless cellular networks with CoMP communications. Specifically, to derive the base station grouping decisions for energy-efficient transmissions in CoMP, we use stochastic predictive control algorithm. Simulation results are presented to show the effectiveness of the proposed scheme.

关键词： Base stations Wireless communication Prediction algorithms Predictive control Delay Channel state information Predictive models

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Introduction to time series search engine systems

Introduction to time series search engine systems

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2012 International Conference on Systems and Informatics, ICSAI 2012

作者： Zhang, Chuanlei Luo, Ji'An Zhang, Shanwen Zhang, Chen Department of Electrical and Computer Engineering Ryerson University Canada State Key Lab. of Industrial Control Tech. Zhejiang University Zhejiang 310027 China Department of Engineering and Technology Zhengzhou University China Discover Information Technology Limited Shanghai China

Basic structure of time series search engine system, involving acquisition, data processing and retrieval sub-systems, was elaborated. And options for time series search engine architectures and supported features and... 详细信息

ISBN: (纸本)9781467301992

关键词： Search engines

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