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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010

作者： Hernando Colina, M. Eliezer Castañeda, M. Wladimir Rodríguez, G. Carlos Parra, O. University of Pamplona Engineering Faculty Systems Engineering Department Pamplona Norte de Santander Colombia Automation and Control Department University of Andes System School Sede la Hechicera Estado Mérida Mérida Venezuela Department of Computer Engineering Faculty System School Sede la Hechicera Estado Mérida Mérida Venezuela

ISBN: (纸本)9781424469208

we propose a new perspective on the identification of linear dynamic system using structural similarity. The proposal consists in the meaningful exploration of each model, specifically behavior of the state variable. The decomposition of the behavior of a state variable in different modes of behavior of a system, each one has a different set of weights and shows different patterns of behavior. These weights are more significant than eigenvalue to develop a new technique for identifying linear system and invariants over time. We use two methods based on different areas of knowledge such as linear algebra and statistics. This paper is a conceptual proof that enriches the implementation and validity not only from point of view algorithmic likewise physic mathematical. © 2010 IEEE.

关键词： Artificial intelligence

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Artificial neural networks broken rotor bars induction motor fault detection

Artificial neural networks broken rotor bars induction motor...

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10th Symposium on Neural Network Applications in Electrical engineering, NEUREL-2010

作者： Matić, Dragan Kulić, Filip Climente-Alarcon, Vincente Puche-Panadero, Ruben Faculty of Technical Science Department for Automation and System Control Trg Dositeja Obradovića 6 21000 Novi Sad Serbia Polytechnic University of Valencia Department of Electrical Engineering Comino de Vera 46020 Valencia Spain

ISBN: (纸本)9781424488209

Paper deals with application of online rotor broken bar fault detection via artificial neural networks. Fault can be detected by monitoring abnormalities of the spectrum amplitudes at certain frequencies in the motor current spectrum. These discriminative features are used for training of feed-forward backpropagation artificial neural network. Trained network is capable to successfully classify induction motor rotor condition. Results are presented in tables and figures. © 2010 IEEE.

关键词： Neural networks

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New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle

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Science China(Technological Sciences) 2010年第8期53卷 2025-2031页

作者： DUAN HaiBin 1 ,SHAO Shan 2 ,SU BingWei 3 &ZHANG Lei 41 State Key Laboratory of Science and Technology on Holistic Flight control,School of automation Science and Electrical engineering, Beijing University of Aeronautics and Astronautics,Beijing 100191,China 2 Flight control department,Shenyang Aircraft Design and Research Institute,Shenyang 110035,China 3 Beijing Institute of Near Space Vehicle’s system engineering,Beijing 100076,China 4Integration and Project Section,Air Force Equipment Academy,Beijing 100085,China 1. State Key Laboratory of Science and Technology on Holistic Flight Control School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China2. Flight Control Department Shenyang Aircraft Design and Research Institute Shenyang 110035 China3. Beijing Institute of Near Space Vehicle’s System Engineering Beijing 100076 China4. Integration and Project Section Air Force Equipment Academy Beijing 100085 China

Bio-inspired intelligence is in the spotlight in the field of international artificial intelligence,and unmanned combat aerial vehicle(UCAV),owing to its potential to perform dangerous,repetitive tasks in remote and hazardous,is very promising for the technological leadership of the nation and essential for improving the security of *** the basis of introduction of bioinspired intelligence and UCAV,a series of new development thoughts on UCAV control are proposed,including artificial brain based high-level autonomous control for UCAV,swarm intelligence based cooperative control for multiple UCAVs,hy-brid swarm intelligence and Bayesian network based situation assessment under complicated combating environments, bio-inspired hardware based high-level autonomous control for UCAV,and meta-heuristic intelligence based heterogeneous cooperative control for multiple UCAVs and unmanned combat ground vehicles(UCGVs).The exact realization of the proposed new development thoughts can enhance the effectiveness of combat,while provide a series of novel breakthroughs for the intelligence,integration and advancement of future UCAV systems.

关键词： bio-inspired intelligence unmanned combat aerial vehicle(UCAV) artificial brain autonomous control bayesian network bio-inspired hardware heterogeneous cooperative control

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Behavior of winding to ground fault in transformer windings using discrete wavelet transform

Behavior of winding to ground fault in transformer windings ...

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4th IASTED Asian Conference on Power and Energy systems, AsiaPES 2010

作者： Pothisarn, Chaichan Ngaopitakkul, Atthapol Pongchaisrikul, Worravut Apisit, Chaowat Jonpermpoonpol, Saridroje Department of Electrical Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand Distribution Control Section Automation System Division Provincial Electricity Authority 200 Ngam Wong Wan Road Jatujak Bangkok 10900 Thailand

ISBN: (纸本)9780889868557

In the literature for fault detection, most of research works have never been mentioned about the high frequency transformer including capacitances. This paper presents behaviour of winding to ground fault signals in a three-phase two-winding transformer. The advantage of the discrete wavelet transform (DWT) is that the band of analysis can be fine adjusted so that high frequency components and low frequency components are detected precisely, consequently DWT is considered herein. The fault is simulated using ATP/EMTP and the behaviour analysis of signals is performed using DWT. The variation of high frequency components of differential current signals is proposed in this paper. The results obtained from the analysis will be useful in the development of a detect fault scheme for power transformer in the future.

关键词： Power transformers

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Wavelet LS-SVR for short-term traffic flow forecasting

Mediterranean Journal of Measurement and Control

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Mediterranean Journal of Measurement and control 2010年第2期6卷 39-45页

作者： Wei, D. Chen, F. Chen, C. Department of Automation School of Information Science and Technology University of Science and Technology of China China Department of Control and System Engineering School of Management and Engineering Nanjing University China

Accurate short-term traffic forecasting is the foundation of optimal control and guidance for urban traffic. Traffic flow has the characteristics of strong non-linearity, uncertainty and dynamics, thus it is highly difficult to predict short-term traffic flow accurately. Least square support vector regression (LS-SVR) possesses the performances of global optimum and fast computing speed, and it is an appropriate means for function approximation problems. The selection of kernel function has significant impacts on the regularization performance of LS-SVR. In contrast to the conventional kernels such as radial basis function (RBF) and polynomial functions in LS-SVR, wavelet functions can approximate arbitrary functions in square integrable space. In this work, we propose a wavelet LS-SVR for short-term traffic flow forecasting. Mexican hat function is proved to satisfy Mercer condition and introduced as kernel function of LS-SVR. Through experimentally investigation, we found that Mexican hat based LS-SVR has higher forecasting accuracy than Shannon and Morlet based LS-SVRs. Moreover, this proposed method is compared with the other typical forecasting models such as auto regression moving average model (ARIMA), neural network (NN) based model and RBF kernel based LS-SVR model. The experimental results illustrate that for 5 minutes, 10 minutes and 15 minutes prediction time periods, the forecasting accuracy of our method outperforms those of the other models. © 2010 SoftMotor Ltd.

关键词： Radial basis function networks

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Hybridization approach of plant models for enhancing ship electrical system analysis

Hybridization approach of plant models for enhancing ship el...

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Electrical systems for Aircraft, Railway and Ship Propulsion

作者： R. Iza E. Irigoyen V. Gómez F. Artaza H. Etxebeste INGETEAM MARINE Zamudio Spain System Engineering and Automation Department Control Intelligent Research Group University of Basque Country (UPV-EHU) Bilbao Spain System Engineering and Automation Dept. University of the Basque Country Bilbao Spain

This work presents a Hybrid Model Library (HML) for enhancing the analysis of ship electrical systems. Lots of studies were made in order to select the most appropriated software platform to test the new models developed. This work shows examples of models developed in Simulink-MATLAB and PSIM platforms. Later on, we present a research methodology based on modeling techniques by hybridization. Several modeling stages will be presented in order to clarify what kind of difficulties has been solved during marine plant models designing. Finally, we present some conclusions about the HML developed and the chances to improve its core.

关键词： Load modeling Analytical models Marine vehicles Libraries Propulsion Software control systems

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Effects of interfacial pressure on tracking failure at XLPE cable joint by analyzing discharge light distribution

Effects of interfacial pressure on tracking failure at XLPE ...

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IEEE International Conference on Solid Dielectrics (ICSD)

作者： B. X. Du L. Gu Key Laboratory of Power System Simulation and Control of Ministry of Education Department of Electrical Engineering School of Electrical Engineering and Automation Tianjin University TJU Tianjin China

This paper investigated the effects of interfacial pressure on the discharge and tracking failure at the interface between XLPE and silicon rubber by analyzing the distribution of discharge light emitted during the failure process. The test sample was made by pressing together a piece of XLPE and a piece of transparent silicon rubber with the pressure of 20 kN/cm 2 , 100 kN/cm 2 and 300 kN/cm 2 , respectively. Test voltage was applied to a pair of plate-needle electrodes sandwiched at the interface with the insulation distance of 10 mm. The initial discharge voltage, the discharge light from discharge to tracking failure and the tracking patterns after failure were recorded with a digital camera. Then the discharge light was analyzed with an image processing method. Results show that the initial discharge voltage increases with the increase of pressure, which significantly influences the distribution characteristics of the discharge light and tracking pattern at the interface. The analysis of discharge light distribution is helpful in understanding the failure process and its mechanism at the interface between XLPE and silicon rubber found in prefabricated cable joint.

关键词： Discharges Insulation life Degradation Brightness Power cables Rubber Silicon

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Effect of temperature on electrical tree in silicone rubber

Effect of temperature on electrical tree in silicone rubber

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IEEE International Conference on Solid Dielectrics (ICSD)

作者： B. X. Du Z. L. May Gao T. Han Key Laboratory of Power System Simulation and Control of Ministry of Education Department of Electrical Engineering School of Electrical Engineering and Automation Tianjin University TJU Tianjin China

In this paper, room temperature vulcanized (RTV) silicone rubber (SiR) was employed as test sample to investigate the relationship between electrical tree propagation characteristics and the experiment temperature. Both the structures and growth characteristics of electrical tree in SiR were observed by using a digital camera and a microscope system. Obtained results show that electrical tree in RTV SiR is white gap tree channel, which all initiate from single branch, and the width of initiative single branch channel varies a lot with the electrical tree structure. The structure of electrical tree at experiment temperature from 30°C to 90°C in RTV SiR can be classified into four categories. They are branch, bush, pine branch and bush-pine mixed tree. The distribution of tree structures changes with the experiment. At the temperature of 30°C, branch tree take up a great proportion, however, bush tree becomes the dominant structure when the temperature rise up to 60°C and 90°C. The probability of tree initiation decreases obviously with the rise of the experiment temperature from 30°C to 90°C. All kinds of electrical tree grow rapidly in the first beginning of the treeing propagation, and this process lasts only a few minutes. In addition, a new parameter, the treeing proportion is introduced to describe propagation characteristics of bush tree.

关键词： Electrodes Rubber Temperature distribution Needles Power cables Cable insulation

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Application of nonlinear methods in tracking failure test of epoxy/SiO2 nanocomposite

Application of nonlinear methods in tracking failure test of...

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IEEE International Conference on Solid Dielectrics (ICSD)

作者： B. X. Du J. W. Zhang L. Gu H. J. Liu Key Laboratory of Power System Simulation and Control of Ministry of Education Department of Electrical Engineering School of Electrical Engineering and Automation Tianjin University TJU Tianjin China

This paper investigates the effect of nano-scale SiO 2 on the tracking failure properties of nanocomposites. Test samples were made by dispersing nano-scale SiO 2 powder in epoxy with the weight ratios of 0, 1, 3, 5, 7, 9 wt%. AC voltage was applied on a pair of needle-plate electrodes at the surface with the insulation distance of 10 mm. The time to tracking failure and discharge current were recorded. In order to distinguish the change of the tracking resistance from the confusing discharge current, a recurrence plot (RP) analysis of discharge current has been used. The patterns of the tracking failure were analyzed with fractal dimension (FD) method to quantify the carbonization degree. The results reveal that 3 wt% of nano-scale SiO 2 filler greatly increase the resistance to tracking failure of epoxy/SiO 2 nanocomposite.

关键词： Insulation life Degradation Discharges Surface discharges Surface treatment Loading Electrodes

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Chaotic synchronization in RCL-shunted Josephson junctions

Chaotic synchronization in RCL-shunted Josephson junctions

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作者： Lu, Pingli Yang, Ying School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China Department of Mechanics and Engineering Science Peking University Beijing 100871 China

ISBN: (纸本)9787894631046

Chaotic synchronization criteria for a class of dynamical networks with each node being RCL-shunted Josephson junction is proposed in this paper. The proposed algorithms, which are established in terms of linear matrix inequalities (LMIs), guarantee the synchronized states to be global asymptotically stable. In addition, an interesting conclusion is reached that the chaotic synchronization in the coupled whole 3N-dimensional networks can be converted into that of 3-dimensional space.

关键词： Linear matrix inequalities

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