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2010 3rd International Congress on Image and Signal Processing, CISP 2010

作者： Liu, Yan Dai, Yaping Wang, Meng Dai, Zhongjian Memon, Zubair Ahmed School of Automation Beijing Key Laboratory of Automatic Control System BIT Beijing China Department of Electrical Engineering Mehran University of Engineering and Technology Jamshoro. Sindh Pakistan

ISBN: (纸本)9781424465149

In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find the biggest difference between successive frames. Adjacent frames are considered in when vehicle is detected in current frame. Relying on the QSVD method, vehicle can be detected by signal peak and valley search and gradual transition shot detection problem can be resolved. The initial video is used to accomplish detection directly without image preprocessing. Experiments show that vehicles can be detected effectively by the QSVD method. The detection accuracy is remained at 93% or more. ©2010 IEEE.

关键词： Vehicles

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Artificial neural networks eccentricity fault detection of induction motor

Artificial neural networks eccentricity fault detection of i...

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International Multi-Conference on Computing in The Global Information Technology

作者： Matić, Dragan Kulić, Filip Pineda-Sanchez, Manuel Pons-Llinares, Joan Department for Automation and System Control Faculty of Technical Science Novi Sad Serbia Department of Electrical Engineering Universidad Politécnica de Valencia Valencia Spain

ISBN: (纸本)9780769541815

This paper deals with eccentricity fault detection in a induction motor via artificial neural networks. Discriminative features are extracted from magnitude-frequency plot of line current spectra at characteristic frequencies. Based on this data, training and test sets for used artificial neural networks are made. Feedforward and radial basis function neural networks are used for tasks of rotor condition classification. Well trained artificial neural networks are capable to successfully classify rotor condition at medium and full shaft load for choosen features. Simple structure and implementation made them suitably for practical usage. © 2010 IEEE.

关键词： Induction motors

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Robust D stabilization of singular systems with polytopic uncertainties

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控制理论与应用（英文版） 2010年第4期8卷 540-544页

作者： Jianjun BAI Hongye SU Xiaofu JI Jinfeng GAO State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University Hangzhou Zhejiang 310027 China School of Electrical and Information Engineering Jiangsu University Zhenjiang Jiangsu 212013 China Institute of Automation Zhejiang Sci-Tech University Hangzhou Zhejiang 310018 China

The robust D stabilization problem is considered for singular systems with polytopic uncertainties in this *** the derivative matrix E and the state matrix A are with uncertainties,which were not considered ***,with the introduction of some free matrices,a necessary and sufficient condition for the singular system to be D stable is proposed,based on which,the robust D stable problem is solved,and a sufficient condition for the closed system to be robust D stabilizable is *** desired state feedback controller is given in an explicit *** examples show the efficiency of the proposed approach.

关键词： Singular system Robust D stabilization Free matrices LMI region

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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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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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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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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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Effects of magnetic field on tracking failure of gamma-ray irradiated polymer insulating materials

Effects of magnetic field on tracking failure of gamma-ray i...

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IEEE International Conference on Solid Dielectrics (ICSD)

作者： B. X. Du H. J. Liu Xinhui Wang Key Laboratory of Power System Simulation and Control of Education Ministry School of Electrical EngineeringAutomation Tianjin University Tianjin China

This paper describes the effect of magnetic field on tracking failure of gamma-ray irradiated polybutylene naphthalate (PBN), polybutylene terephthalate (PBT) and polyethylene terephthalate (PET). The experiment was carried out by applying a dc pulse voltage under magnetic field. The magnetic flux density (MFD) of the magnetic filed was 495 mT and the direction of E×B was 0, 90 and 270 degrees with respect to the sample surface. The PBN, PBT and PET were irradiated in air up to 100 kGy and then up to 1000 kGy with a dose rate of 10 kGy/h by using a 60 Co gamma-source. Obtained results revealed that the tracking failure was greatly changed by gamma-ray irradiation and magnetic field.

关键词： Discharges Degradation Radiation effects Positron emission tomography Magnetic fields Polymers Insulation life

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