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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2012年第11期34卷 1346-1351页

作者： Shao, Peng-Zhen Fang, Yi-Ming Wang, Wen-Bin Jiao, Zong-Xia Hebei Key Lab. of Industrial Computer Control Engineering Yanshan University Qinhuangdao 066004 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China

To deal with the structure jumping problem resulting from elastic load force and external load force jumping in different working conditions, an adaptive backstepping control method of multi-model switching was presented based on the common Lyapunov function method and the adaptive backstepping method. This approach combines the features of adaptive backstepping control and the design requirements of a common Lyapunov function, and the adaptive controller for every sub-system and the parameter adaptive estimators for the uncertainty upper bound are designed by backstepping control, then taking the Lyapunov function designed by backstepping as a common Lyapunov function to ensure that the system is asymptotically stable under arbitrary switching. It is easy to select the common Lyapunov function by the combination of backstepping and the common Lyapunov function method, and the problem of parameter jumping and parameter slow time-varying existing at the same time is solved. Simulation results demonstrate that the designed controllers can ensure not only good dynamic and static performance for the hydraulic servo position system of a rolling mill, but also good robustness for the system parameter jumping and parameter slow time-varying.

关键词： Backstepping

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Multi-user Symmetric Cooperation Based on Nash Bargaining Solution in Cooperative Relay Networks

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International Journal of Automation and computing 2011年第4期8卷 452-458页

作者： Kai Ma Xin-Ping Guan Juan Wang Xiao-Min Wei Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 PRC School of Electronics Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 PRC

This paper presents a symmetric cooperation strategy for cooperative relay networks with multiple users. The multi-user symmetric cooperation model and the relay selection algorithm are proposed. Then, the time slot allocation problem is cast into a bargaining problem, and the optimal time slot allocation solution is obtained by Nash bargaining solution （NBS）. Moreover, we also consider the implementations of the cooperation strategy, i.e., the grouping and admission control algorithm. Simulation results show that users can obtain larger rates under the symmetric cooperation strategy than the non-cooperative case.

关键词： Cooperative relay Nash bargaining solution （NBS） time slot allocation relay selection admission control.

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Bearing fault diagnosis of a wind turbine using maximum likelihood detection

Bearing fault diagnosis of a wind turbine using maximum like...

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2011 International Conference on Electronic and Mechanical engineering and Information Technology, EMEIT 2011

作者： Yang, Shenggang Li, Xiaoli Liang, Ming Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao China Department of Mechanical Engineering University of Ottawa 770 King Edward Avenue Ottawa ON Canada

ISBN: (纸本)9781612840857

Bearings are the most frequently used components in a wind turbine. As such, bearing Fault Detection is an imperative part of preventive maintenance procedures of a wind turbine. This paper presents a Maximum likelihood method to implement bearing fault diagnosis. This set extracts the amplitude and frequency modulations of the vibration signals measure from a wind turbine system. As the amplitude demodulation is inherent in this set, the fault frequency can be detected from the spectrum of the transformed signal. The effectiveness of this method has been validated by using simulated signal and experimental data. © 2011 IEEE.

关键词： Wind turbines

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Bearing condition monitoring and fault diagnosis of a wind turbine using parameter free detection

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2011 International Conference on Electric and Electronics, EEIC 2011

作者： Yang, Shenggang Li, Xiaoli Liang, Ming Key Lab. of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Department of Mechanical Engineering University of Ottawa 770 King Edward Avenue Ottawa ON Canada

ISBN: (纸本)9783642217616

The most frequently used component of a wind turbine is bearing which failure could lead to malfunction and ultimately complete stall in a mission-critical equipment. Hence, bearing fault detection is an imperative part of preventive maintenance procedures in a wind turbine. This paper presents a free parameter approach to implement bearing condition monitoring and fault diagnosis. This approach extracts the amplitude and frequency modulations of faulty vibration signals that measured from a wind turbine system. The amplitude demodulation is inherent, and the fault frequency will be detected from the spectrums of the signal. The effectiveness of this approach has been validated by using simulated signal and experimental evaluation. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Fault detection

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Bearing fault detection and diagnosis of a wind turbine

Bearing fault detection and diagnosis of a wind turbine

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International Conference on Consumer Electronics, Communications and Networks

ISBN: (纸本)9781612844572

The most commonly used components in a wind turbine are bearings which failure could lead to malfunction and ultimately complete stall of a mission-critical equipment. Hence, bearing Fault Detection is an imperative part of preventive maintenance procedures of a wind turbine. This paper presents a Free Parameter method to implement bearing fault diagnosis. This method extracts the amplitude and frequency modulations of the vibration signals that measure from a wind turbine system. As the amplitude demodulation is inherent in it, the fault frequency will be detected from the spectrum of the signal. Simulated signal and experimental data has validated the effectiveness of this method. © 2011 IEEE.

关键词： Wind turbines

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虚拟手术中基于凸多边形的软组织切割算法研究

虚拟手术中基于凸多边形的软组织切割算法研究

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第十二届中国虚拟现实大会

作者： WANG Hong-rui 王洪瑞 CHEN Li-min 陈利敏 ZHAO Bing 赵冰 WANG Hong-bin 王洪斌 Key Lab of Industrial Computer Control Engineering of Hebei Province in Yanshan University Qinhuang 燕山大学工业计算机控制工程河北省重点实验室秦皇岛 066004

虚拟手术仿真系统为医学教学提供了一种方便、廉价、有效的方法。切割模拟是该系统重要组成部分，影响整个系统的实时性和真实性，因此对整个切割过程进行深入研究并提出了基于凸多边形的切割算法。首先通过遍历优化索引结构后的八叉树... 详细信息

虚拟手术仿真系统为医学教学提供了一种方便、廉价、有效的方法。切割模拟是该系统重要组成部分，影响整个系统的实时性和真实性，因此对整个切割过程进行深入研究并提出了基于凸多边形的切割算法。首先通过遍历优化索引结构后的八叉树来寻找切割起点，由起点开始，以切割轨迹为参照，采用邻居搜索策略寻找所有被切割的三角影，然后通过引入辅助单元组成凸多边形，再对凸多边形进行三角剖分，以实现网格重构。实验证明新的剖分算法抑制了模型单元数量的急剧增长，提高了三角形重构的质量。

关键词：虚拟手术仿真系统软组织切割算法凸多边形网格模型

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Sensor selection for received signal strength-based source localization in wireless sensor networks

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控制理论与应用（英文版） 2011年第1期9卷 51-57页

作者： Zhao, Bin Guan, Xinping Xie, Lihua Xiao, Wendong Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao Hebei 066004 China School of Electronics Information and Electrical Shanghai Jiao Tong University Shanghai 200240 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore Institute for Infocomm Research Singapore 138632 Singapore

Generally, localization is a nonlinear problem, while linearization is used to simplify this problem. Reasonable approximations could be achieved when signal-to-noise ratio (SNR) is large enough. Energy is a critical resource in wireless sensor networks, and system lifetime needs to be prolonged through the use of energy efficient strategies during system operation. In this paper, a closed-form solution for received signal strength (RSS)-based source localization in wireless sensor network (WSN) is obtained. A sensor selection method is proposed to improve the localization accuracy as well as to save energy consumption. By selecting only a limited number of sensor nodes based on the model accuracy and geometry structure analysis, localization performance is improved, and energy consumption is reduced. In addition, extensive simulations are presented to demonstrate that the estimation performance with the proposed sensor selection method is better than that without sensor selection.

关键词： Received signal strength Source localization Closed-form solution Sensor selection Geometry structure

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Performance analysis of object tracking algorithm

Performance analysis of object tracking algorithm

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3rd International Conference on Image Analysis and Signal Processing, IASP 2011

作者： Cai, Rongtai Wu, Qingxiang Wang, Ping Zhang, Xuguang Hu, Shuo School of Physics Optics Electronic Science and Technology Fujian Normal University Fuzhou 350108 China Key Lab. of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066000 China

ISBN: (纸本)9781612848808

This paper analyzes the performance of object tracking algorithms. The issues that affect precision in object tracking are analyzed first and how the parameters in tracking algorithms affect the precision in object tracking are introduced. Then, the time complexity of those object-tracking algorithms is discussed. At last, the holistic analysis and evaluation of these object-tacking algorithms are parsed from application range, tracking precision and time complexity. © 2011 IEEE.

关键词： Tracking (position)

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Efficient human action recognition using accumulated motion image and support vector machines

Efficient human action recognition using accumulated motion ...

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International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011

作者： Cao, Wei Zhang, Xuguang Cao, Shukai Zhang, Jie Wang, Mingjia Han, Guangliang Key Lab. of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun 130033 China

Vision-based human action recognition provides an advanced interface, and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion, which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a M×N regulation following the standard of training phases. Finally, we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word, our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set, but also proves practical to some real world applications, in addition, this method is computationally simple and able to achieve a satisfactory accuracy.

关键词： Support vector machines

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Approach for detecting crowd panic behavior based on fluid kinematic features and entropy

Approach for detecting crowd panic behavior based on fluid k...

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International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011

作者： Cao, Shukai Zhang, Xuguang Cao, Wei Liu, Chunxia Li, Ying Li, Peng Cheng Key Lab. of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun 130033 China

Crowd panic behavior detection is an important task in video analysis and event recognition, whose purpose is to detect when the panic behavior happened and alarming the abnormal event timely. In this paper, the crowd is regard as a fluid, and the crowd motion is described by four fluid kinematic features (divergence, vorticity, gradient tensor invariant and rotation tensor invariant). To discriminate the panic event from normal crowd behavior, an information entropy is calculated as a high level feature based on the fluid kinematic features. Experimental results show that the entropy raised dramatically once a panic event happened.

关键词： Kinematics

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