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IEEE International Symposium on Electromagnetic Compatibility (EMC)

作者： Youpeng Huangfu Shuhong Wang Juanning Yang Hongxu Wang Luca Di Rienzo Djilali Hamza State Key Laboratory of Electrical Insulation and Power Equipment Xi'an Jiaotong University Xi'an China Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Milan Italy Qinchuan Technology Research Institute Software & System Institute Qinchuan Machine Tool & Tool Group Corp. Baoji China Electrical and Computer Engineering Dept. Queen's University Kingston Ontario Canada

ISBN: (纸本)9781509014439

The conducted electromagnetic interference (EMI) and overvoltage characteristics for a spindle permanent magnet synchronous motor (PMSM) driven by pulse width modulation (PWM) converter are comprehensively presented. The high power, ultra-precision PMSM is applied to a computer numerical control (CNC) grinding machine. The conducted EMI prediction model mainly includes multi-core shielded cable, high frequency (HF) converter and PMSM models. The multi-transmission line (MTL) theory is employed to establish the multi-core shielded cable considering their coupling effect caused by the control pairs. The parasitic capacitance for the PWM converter is calculated by using the analytical formula. The HF equivalent circuit model of the PMSM is obtained combining the methods of impedance measurement and vector fitting method. The influence of the rotor position on the PMSM impedance measurement is considered. The common mode (CM) and differential mode (DM) interference voltage and current both for the output of inverter and the input of PMSM terminals are conducted by using the prediction model. The parametric influence of the long multi-core shielded cables on the overvoltage for the PMSM terminal is discussed.

关键词： Decision support systems

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Management method for data service quality 4th

Management method for data service quality

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4th International Conference on Electronics, Communications and Networks, CECNet2014

作者： Liu, X.M. Chen, C. Li, Q.Q. Zhen, H. Information & Communication Branch Jiang Xi Electric Power Company Nanchang China Anhui NARI Jiyuan Software CO. LTD State Grid Hefei China Department of Information & Communication Jiang Xi Electric Power Company Nanchang China School of Information Science & Engineering East China University of Science & Technology Shanghai China

ISBN: (纸本)9781138028302

The service level of a data center is decided by two factors: data quality and the quality of the software and hardware service. At present, there is no model or system to measure the two factors uniformly. In this paper, a management method for the quality of a data service was proposed. It unifies data quality and quality of service. Firstly, a model for the quality of data service, which included definitions and algorithms, was proposed. Secondly, a management platform for quality of data service was researched to achieve the model. Finally, the model and management platform were applied to a data center of a power enterprise to verify the effectiveness. © 2015 Taylor & Francis Group, London.

关键词： Quality of service

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Forecasting time series water levels on Mekong river using machine learning models

Forecasting time series water levels on Mekong river using m...

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International Conference on Knowledge and Systems engineering

作者： Thanh-Tung Nguyen Quynh Nguyen Huu Mark Junjie Li Faculty of Computer Science and Engineering Thuyloi University Information Technology Faculty Electric Power University College of Computer Science and Software Engineering Shenzhen University

ISBN: (纸本)9781467380140

Forecasting water levels on Mekong river is an important problem needed to be studied for flood warning. In this paper, we investigate the application to forecasting of daily water levels at Thakhek station on Mekong river using machine learning models such as LASSO, Random Forests and Support Vector Regression (SVR). Experimental results showed that SVR was able to achieve feasible results, the mean absolute error of SVR is 0.486(m) while the acceptable error of a flood forecast model required by the Mekong River Commission is between 0.5(m) and 0.75(m).

关键词： Time series forecasting LASSO Random Forests Support Vector Regression Data mining

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Modified virtual space vector based DC-bus voltage balancing for three-level neutral point clamped (NPC) traction inverter drive 7

Modified virtual space vector based DC-bus voltage balancing...

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7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015

作者： Choudhury, Abhijit Pillay, Pragasen Williamson, Sheldon S. Group P. D. Ziogas Power Electronics Laboratory Department of Electrical and Computer Engineering Concordia University MontrealQCH3G 1M8 Canada Department of Electrical Computer and Software Engineering University of Ontario Institute of Technology OshawaONL1H 7K4 Canada

ISBN: (纸本)9781467371506

A modified virtual space vector based DC-link voltage balancing strategy is proposed in this paper. The summation of the three phase currents for the virtual vector needs not to be zero and it also keeps the two capacitor voltages balanced over a wider range of load variations. The duty cycles for all the power switches are also derived in this paper. Due to the reduced use of medium voltage vectors the proposed control strategy can considerably decrease the neutral point voltage fluctuation for lower power factor based loads as well. Detailed simulation and experimental studies are also carried out to show the effectiveness of the proposed system with a DC-link voltage balancing strategy. Voltage and current harmonic distortions are also presented with change in modulation index. A Dspace® based real time operating system is used experimental validation with a 6.0 kW surface PMSM. © 2015 IEEE.

关键词： Electric inverters

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A Simulation Modeling Method Based on Petri Net

A Simulation Modeling Method Based on Petri Net

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IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)

作者： Yu Huang Xuanzheng Hu Guangxian Lv Renfan Yang National Engineering Research Center for Software Engineering Peking University Beijing China China Electric Power Research Institute Beijing China University of Shanghai for Science and Technology Shanghai China

ISBN: (纸本)9781467393010

With the development of science and technology, simulation technology has been widely applied in all fields, such as complexity of model design field. And it has become an indispensable supportive technology, but the current simulation model is still lack of a formal description method for model verification and the analysis. Based on Petri nets, this paper presents a data-driven simulation model and the formal definition, then describes the model on the basis of the operation and shows an example to describe the principle and process of the formal model. A simulation model definition language that extends the PNML language is proposed in this paper and XML Schema is used for implementation.

关键词： Mathematical model Analytical models Computational modeling Petri nets Missiles Engines Voltage control

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An efficient privacy-preserving compressive data gathering scheme in WSNs 1

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Xie, Kun Ning, Xueping Wang, Xin Wen, Jigang Liu, Xiaoxiao He, Shiming Zhang, Daqiang College of Computer Science and Electronics Engineering Hunan University Changsha410082 China The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommmunications Beijing100876 China Department of Electrical and Computer Engineering State University of New York at Stony Brook New York11790 United States Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China State Grid HuNan Electric Power Company Research Insitute Changsha410000 China School of Computer and Communication Engineering Changsha University of Science and Technology Changsha410114 China School of Software Engineering Tongji University Shanghai201804 China

ISBN: (数字)9783319271194

ISBN: (纸本)9783319271187

Due to the strict energy limitation and the common vulnerability of WSNs, providing efficient and security data gathering in WSNs becomes an essential problem. Compressive data gathering, which is based on the recent breakthroughs in compressive sensing theory, has been proposed as a viable approach for data gathering in WSNs at low communication overhead. Nevertheless, compressive data gathering is susceptible to various attacks due to the open wireless medium. To thwart traffic analysis/flow tracing and realize privacy preservation, this paper proposes a novel Efficient Privacy-Preserving Compressive Data Gathering Scheme which exploits homomorphic encryption functions in compressive data gathering. With homomorphic encryption on the compressive sensing encoded sensory reading messages, the proposed scheme offers two significant privacy-preserving features, message flow untraceability and message content confidentiality, for efficiently thwarting the traffic analysis attacks. Extensive performance evaluations and security analysis demonstrate the validity and efficiency of the proposed scheme. © Springer International Publishing Switzerland 2015.

关键词： Compressed sensing

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Face recognition based on improved robust sparse coding algorithm

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2015年第9期8卷 339-346页

作者： Jun-Kai, Zhang Xiao-Ya, Gu Software Technology Vocational College North China University of Water Resources and Electric Power Zhengzhou China The Department of Electrical Engineering Henan Province Industrial Design School Zhengzhou China

In order to improve the performance of face recognition, a novel face recognition method based on improved robust sparse coding algorithm (MRCS-ELM)to solve the defecting of traditional sparse coding algorithm. Firstly, the face images are collected and pretreated, and then the robust sparse coding algorithm is used to encode the face features, and the robust sparse coding algorithm is modified, finally, the features are input to extreme learning machine to established the face classifier and the simulation experiment is used to testing performance by using AR face data. The results show that the proposed model has improved the recognition rate and reduces the computational complexity greatly compared with other models, and it has strong robustness to face recognition. ©, 2015 SERSC.

关键词： Face recognition

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Rail Inspection Meets Big Data: Methods and Trends

Rail Inspection Meets Big Data: Methods and Trends

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International Conference on Network-Based Information Systems (NBIS)

作者： Qingyong Li Zhangdui Zhong Zhengping Liang Yong Liang Beijing Key Lab of Transportation Data Analysis and Mining Beijing Jiaotong University Beijing China College of Computer Science and Software Engineering Shenzhen University Communication & Power Utilization Technology Subcompany State Grid Electric Power Research Institute State Grid Beijing China

Rail inspection is one of the most important tasks for rail industry, in order to guarantee the safety of railway systems and control their cost. Rail are systematically inspected for defects using various non-destructive evaluation (NDE) techniques, which include ultrasonic inspection, visual detection, magnetic flux leakage method, acoustic emission inspection etc. The data obtained by these NDE devices are going to increase in both quality and quantity, therefore big data has emerged as a potential challenge for rail inspection. This paper reviews the advanced NDE techniques for rail inspection, and brings forward a new framework of rail inspection based on big data, according to the characteristics of inspection data.

关键词： Rails Inspection Acoustics Surface cracks Visualization Surface treatment Big data

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RESEARCH ON IMAGE SEGMENTATION METHOD BASED ON WEIGHTED THRESHOLD ALGORITHM

RESEARCH ON IMAGE SEGMENTATION METHOD BASED ON WEIGHTED THRE...

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International Copmputer Conference on Wavelet Active Miedia technology and Information Processing

作者： NA ZHAO SHI-KAI SUI PING KUANG State Grid Sichuan Electric Power Company Technical Training Center Chengdu China 611731 University of Electronic Science and Technology of China Chengdu China 611731 School of Information and Software Engineering University of Electronic Science and Technology of China ChengDu 610054 China

ISBN: (纸本)9781467382670

Image segmentation plays a basic and important role in image processing, and its results are directly related to the ones of image analysis and understanding. Aiming at solving the problem of choosing the optimal threshold-weighted threshold of commonly used thread segmentation methods, this paper proposed the method of integrating genetic algorithm with OTSU method for image segmentation, and adopted watershed method to close and enhance the segmented image edges. The experimental results show that the image segmentation method proposed is not only more accurate than traditional methods in visual comparison and digital performance indices, but also is robust against noises and geometric attacks.

关键词： Weighted threshold image segmentation genetic algorithm OTSU method watershed method

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Modelling and calculation of key design parameters for an Inductive power Transfer system using Finite Element Analysis- a comprehensive discussion

Modelling and calculation of key design parameters for an In...

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IEEE Transportation Electrification Conference and Expo (ITEC)

作者： Kunwar Aditya Bernardo Peschiera Mohamed Youssef Sheldon S. Williamson Department of Electrical Computer and Software Engineering The University of Ontario-Institute of Technology North Oshawa ON Canada Power Electronics and Energy Research (PEER) Concordia University 1455 de Maisonneuve Blvd. W. Montreal Quebec Canada

Although coils for Inductive power Transfer (IPT) works on the fundamental principle of Ampere's and Faraday's laws, on which conventional transformers work, there is difference in approach required for designing coils for IPT than designing a conventional transformer. Because of the complex design of some IPT coils and the increasing emphasis on the magnetic field strength of such systems, Finite Element Analysis (FEA) software is often used to model these systems. However modeling must be conducted very carefully in order to obtain the real behavior from the modeled coils. Aim of this paper is to study the modelling and calculation of key design parameters of IPT system through FEA analysis. A low power (capable of giving 100W at its rated current) IPT setup has been built to verify the FEA analysis of IPT system. Key factors such modelling litz wire, importance of element size in Meshing, advantages and shortcoming of 2D modelling and 3D modelling as well as how to calculate the parameters of the coils has been discussed in this paper. In addition to that different electrical models used for representing IPT system has been studied and compared.

关键词： Analytical models Coils Computational modeling Reliability

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