bluuebunny/crossref_metadata_2025 huggingface dataset:
QSAR-Based Studies of Nanomaterials in the Environment
Authors: Kleandrova Valeria V. , Luan Feng , Speck-Planche Alejandro , Cordeiro M. Natália D. S.
Published: March 2015

Nanotechnology is a newly emerging field, posing substantial impacts on society, economy, and the environment. In recent years, the development of nanotechnology has led to the design and large-scale production of many new materials and devices with a vast range of applications. However, along with the benefits, the use of nanomaterials raises many questions and generates concerns due to the possible health-risks and environmental impacts. This chapter provides an overview of the Quantitative Structure-Activity Relationships (QSAR) studies performed so far towards predicting nanoparticles' environmental toxicity. Recent progresses on the application of these modeling studies are additionally pointed out. Special emphasis is given to the setup of a QSAR perturbation-based model for the assessment of ecotoxic effects of nanoparticles in diverse conditions. Finally, ongoing challenges that may lead to new and exciting directions for QSAR modeling are discussed.
Eddy Current Probe Parameters Optimization Design Based on Orthogonal Experiment
Authors: Liang Ting Wei , He Quan Xian , Liang Yun , Wang De Hui , Chi Bin
Published: March 2015

A new type of eddy detector structure is designed for measuring the parameters of the thickness of hollow blade engines. To solve the following problems: small-diameter coil, large range of measurement and selective sensitivity testing on two different material.The multi-target orthogonal experiment method is adapted to analyze main configuration parameters which affect sensor performance. The importance order of the effect on the measurement results by various factors is determined according to analysis of experimental data, the optimal parameters configuration is found out.The optimization results show that the best parameters combination is as follows:the frequency of 1750Hz,the number of turns are 150 turns, the diameter of coil is 5 mm, the diameter section for the magnetic cores is 4mm×4mm.By using the effective and feasible method, the test result have proved good enough experiment results of the new kind of eddy detector.
Embedded Robot Vision System Based on DSP
Authors: Li Xing Ze , Zhu Ling , Hua Yi
Published: March 2015

Aim at the real-time problem of industrial robot vision system, design a embedded robot vision system based on DSP microprocessor. This system can use CCD camera and the ultrasonic sensor to collect the target environment information. It also can use the processor DSP to process the images and recognize target. And then through the communication module, send results in the form of wireless to the upper computer, providing target object information for robot control layer. This system completes the software and hardware system design, image collection & processing and robot control, as well as meet the real-time requirements of machine vision system.
Research and Design Based on Automated Warehouse of Box-Type Silk Storage
Authors: Yu Qun Xiu , Zhang Shou Ming , Wang Chao , Zhang Heng
Published: March 2015

This paper outlines the development trend of current tobacco logistics warehouse automation and discusses the process and its subsystem of box type automatic stereo warehouse. The subsystem includes a drill packing, turning box feeding, EMS system, image recognition system, RFID bar code system, weighing system, stacker system, expounds the composition and it’s the basic control flow of computer, PLC electric control system. Aiming at the storage tank type wire automatic stereo warehouse operation in conveying line blocking, distribution efficiency low problem, carry out research and analysis, put forward a design scheme of cross platform change direction, change the target of the. From the actual production operation knowledge, this design improves the efficiency of delivery; field test result shows that the design is feasible and effective.
Study of the Production of Electrolytic Capacitors of Intelligent Network Equipment Management
Authors: Cui Qing Quan , Ning Jing
Published: March 2015

Automatic equipments workshop in the production process, the statistics and reports for various data is the condition that the statistics after the production. From the system perspective, this is an off-line control system, and the time difference will increase the failure rate and reduce the efficiency of the equipment manufacturing products. According to this problem, the intelligent network management scheme for the production equipment is designed in the paper, as aluminum electrolytic capacitor production equipment an example, the network control system (NCS) is introduced into the equipment management of production of aluminum electrolytic capacitors, and the design idea and structure are given. Through the design, the intelligent management of aluminum electrolytic capacitor production equipment is realized, which can ensure the efficient, real-time and accuracy of each production link in capacitor.
CBTC System Dynamic Data Security Verification Method
Authors: Hou Xiao Peng , Huang You Neng
Published: March 2015

Communication based train control system as a train control system is designed to ensure driving safety, the system description and system function of the real environment is driven by different types of data. Data security is an important component part of CBTC system security, the dynamic data as interactive data within the system is more important influence on system safety, it is necessary to put forward the formal modeling for dynamic data security verification. This paper puts forward a kind of dynamic data security verification method for train control system based on UPPAAL. The unified modeling language (UML) is adopted to train control scene modeling analysis, through model transformation method to convert the UML sequence diagram to timed automata model, using UPPAAL validation tool for train control scenario simulation analysis, through dynamic data to meet security constraint conditions shows that the dynamic data security.
Design of Intelligent Measure and Control Software of Plant Growth Cabinet Based on Android System
Authors: Liang Fan , Xie Jia Jia , Cui Shi Gang , Zhao Li , Tian Li Guo
Published: March 2015

Plant growth cabinet, as a kind of green, environmental, efficient, energy-efficient, closed plant growth environment, can provide the temperature, humidity and others that are required in the process of plant growth and development. We design an intelligent measure and control software based on Android system to achieve information collection and display of the environmental data in the cabinet and the plants’ morphological data. It also could remotely monitor the plant growth process in real time and do the intelligent regulation of the control node. In order to collect and send environmental data and video in real time that don’t affect the operation of the software interface, Android background Service technology has been adopted. The communication of Activity and Service that is realized by BroadcastReceiver, has realized the run of users operation interface and background program in the same time, improve the interactivity and real time of the software. The experimental results show that the software has realized the local and remote intelligent measure and control for the plant growth cabinet.
Study for PID Temperature Control of Plant Growth Cabinet Based on Neural Network
Authors: Liu Zhi Qi , Tian Li Guo , Li Meng , Wei Jiang Lin , Chen Gao Li , Li Yu Shuang
Published: March 2015

Environment for plant growth is difficult to establish precise mathematical model. The conventional control methods are difficult to be well controlled, and put forward a neural network PID control temperature on the growth environment of plant. In this paper, taking the lettuce as an example, using MATLAB to simulate the PID control and PID control of BP neural network, the results proved that PID control of BP neural network has small overshoot, fast response speed and good stability compared with the traditional PID control, and better controlled temperature changing with the target temperature.
Crop Growth Environment Parameter Measurement and Control System Based on ARM Framework
Authors: Hu Jian Ming , Guo Xiao He , Li Guang Hui
Published: March 2015

Agricultural environment monitoring is the basic function of intelligent greenhouses, it broke through the geographical, environmental, and climate conditions on the influence of the crops, it is of great significance to the agricultural modernization and intelligentization, and promotes the development of agricultural advancement and intelligentization. Agricultural environment monitoring system based on ARM framework,PC S3C6410 is used as main control chip, running under WinCE environment, a good human-computer interface is provided; C8051F120 microcontroller as the core of its lowercompute, it acquires environment parameters in a variety of ways and adjusts on the surrounding soil and the air environment, the whole system’s good controllability can be ensured.
Design of Voice Coil Linear Motor Control System Based on B&R as Integrated Development Environment
Authors: Lu Sheng Li , Wu Rong Rong , Wang Li Qiang , Li Min , Zhu Jing , Wang Guang Wei
Published: March 2015

Establishing voice coil linear motor control system model on the basis of structural analysis, and conducting firstly Matlab/Simulink simulation supported by B&R Automation Studio integrated development environment, and then automatically generating C code and downloading to the B&R PCC to run, thereby quickly completing the design of voice coil linear motor control system and ensuring control system key performance indicators to meet the requirements.
Design and Implement of an Indoor Location System Based on Active RFID
Authors: Ju Lan , Meng Qing Bin
Published: March 2015

This paper presents an indoor location system. The system is comprised of a RFID reader and several low-power active RFID tags.This designed active RFID tag consists of an ultra low power micro-controller, a low power RF transceiver, micro-strip antenna and an on-board battery. The indoor location system uses a RSSI-based ranging technology location algorithm. The experimental results show that the system is a good location system of high precision. And thanks to the advantage of these low-power active RFID tags, this system can be implemented simply for different applications.
The Applied Research of PID Controller Based on NN in Servo System
Authors: Wu Hong Kun , Fu Xiao Juan , Wu Zhen Yuan
Published: March 2015

This paper design a PID controller based on nerve net aimed some servo system. The controller use NN control algorithm on the basis of classic PID controller. It can adjust the parameters of PID adaptively and realize the control demand of high precision and rapidity. The control algorithm is programmed using MATLAB and c++ language. According to results of the simulation and experiments, the NN PID controller has good static and dynamic property and meets the performance of actual servo system very well.
Research and Application on a Visualized Optical Fiber Fence Alarm System
Authors: Yuan Qing Hui , Nie Xiu Jun , Feng Guo Fang
Published: March 2015

A new visualized fiber fence alarm system was put forward in this paper, which was used Sagnac interferometric sensor of optical fiber fence on the surrounding invasion of signal detection and positioning, and sent alarm information and video monitoring system linkage, in order that the monitoring equipment switch to intrusion scene view timely. Finally the video record the intrusion events. This visualized alarm system makes full use of advantages of optical fiber detection and video surveillance, which improved the level of intelligence of security system and the security performance of the system.
Design of Controller for Ignition Temperature Flameless Catalytic Burners
Authors: Liu Yong Tao , Liu Jia , Zhang Li , Wang Tian Qi
Published: March 2015

According to the requirements of the high temperature flameless catalytic combustion burner ignition and intelligent control, the author designed intelligent electronic igniter with microprocessor controlled. Intelligent electronic igniter is controlled by Freescale MC9S08GB60A microcontroller chip and the thermocouple is used as a temperature sensor. It also combined with high-voltage ignition circuit and the solenoid valve control circuit to achieve real-time temperature monitoring of high temperature flameless catalytic burner control ignition, flame cut off valve and other intelligent control.
Longitudinal Control for a Magnetic Navigation Unmanned Electric Vehicle
Authors: Zou Li , Luo Feng
Published: March 2015

This paper designs a longitudinal controller for a magnetic navigation unmanned electric vehicle to obtain desired values for speed tracking. The motion control algorithm is proposed using PID control via fuzzy logic for PID parameters online adjusting. A switch strategy is designed to guarantee the smooth switching between the drive actuator and the brake one. The vehicle is a modification of an electric sightseeing car. A simple model of a typical front drive car for vehicle dynamics control system is built to help the design of the controller. The road test results demonstrated that the longitudinal controller provided high tracking accuracy and strong robustness.
Research on Modeling in CGF System of Air Defense Missile
Authors: Deng Jian Jun , Wu Da , Liu Li
Published: March 2015

The Computer Generated Force (CGF) system was introduced and the model structure of CGF system was discussed. The entities' model of missile was designed, it includes operator model and mobile controller and dynamic model of missile, different missile can be simulated by given different parameters of performance with the model. The behavior modeling based on Finite State Machine of CGF was studied, it could generate targeted behavior to the changing situation of combat environment. The simulation results show that the modeling method is reasonable and valid.
Research of Visual Stimulation Method and Design of Visual Stimulator Based on Brain-Computer Interface
Authors: Sun Yong , Zhao Li , Xu Neng , Ou Rong
Published: March 2015

Brain Computer Interface (BCI) is a new ways of communicating with outside for the loss of some or all of the muscles controlling function of the patients. And the BCI is to set up a new information communication and control channel though the computer or other electronic device between the human brain and the external environment that does not depend on the peripheral nerve and muscle tissue. Firstly, this paper studies the methods of visual stimulation based on Brain Computer Interface that classified by stimulating form can be divided into flash simulation and figures simulation and classified by stimulating frequency can be divide into transient visual stimulation and steady-state visual stimulation. Then, using FPGA and the VGA interface designed of the visual stimulator that can be used to acquisition of steady-state visual evoked potential. Finally, adopting EEG signal processing platform verify this simulator. After numbers of verification, this simulator obtains a good desired result which achieved over 80% accuracy rate.
The Intelligent CAD Design for the Quenching Machine Tool Based on the NEI in the Full Lifecycle
Authors: Liang Liang , Dong Qing Wei , Yang Li Peng
Published: March 2015

In our country, the common problems of the quenching machine tool in manufacturing are lack of systematic and modular. In design and manufacturing process, there is no designing platform for the whole life cycle of the machine tool. Aimed at this problem, this paper construct a intelligent designing platform for the general quenching machine tool based on the whole life cycle. The platform can control the whole life cycle of the quenching machine tool. It used NEI biological network technology on the machine tool designing CAD system module. The platform realizes the automatic discovery, negotiation and combination of the designing resources and design knowledge. The platform generates a self-organization, self-aggregation, collaborative intelligent designing environment. The platform broke the limitations of the traditional machine tool design and solved the problems lacking of a systematic modular to the quenching machine tool in manufacturing industry .
TTS Tape Script Construction and Apply to SCADA System
Authors: Qian Ping , Yao Nian Zheng , Wu Meng Chu , Yan Meng , Cheng Hai Qing
Published: March 2015

In order to apply TTS technology in SCADA, the demand of tape script is discussed firstly. A method and operating steps to construct tape script is described, that is collecting raw text file through static and dynamical steps, counting the position frequency of every individual Chinese character and phrase in a sentence, and calculating the sentence weight value. A program can realize the method and get tape scripts. In addition, it studied the feature of technical and industrial SCADA system, and discusses the necessity and feasibility using TTS to realizing sound out function in SCADA.
Study on Dual Mode Fusion Method of Video and Audio
Authors: Shi Li Juan , Feng Ping , Zhao Jian , Wang Li Rong , Che Na
Published: March 2015

In order to solve the hearing-impaired students in class only rely on sign language, amount of classroom information received less, This paper studies video and audio dual mode fusion algorithm combined with lip reading、speech recognition technology and information fusion technology.First ,speech feature extraction, processing of speech signal, the speech synchronization output text. At the same time, extraction of video features, voice and video signal fusion, Make voice information into visual information that the hearing-impaired students can receive. Make the students receive text messages as receive visual information, improve speech recognition rate, so meet the need of the classroom teaching for hearing-impaired students.
Design and Implement of Operational Rule Base Based on Machine Learning and Association Rule Mining
Authors: Chen Long , Liu Jia Hua , Wang Qi , Sheng Hua , Chen Yu
Published: March 2015

In order to ensure the security, stability and effective operation of information system, the construction and optimization techniques for information operational Rule Base has become an urgent problem to be solved. To meet the demands, this paper presents a rule base construction and optimization strategy based on machine learning and association rule mining. The operational rule base which includes basic rules, association rules and extension rules is generated by the network topology, the monitoring indicators and the association rule mining of historical data. Then implement machine learning method for rules to improve their performance. At last, the rule-upgrade strategy is proposed for rules to move from the lower region to higher region. Based on these steps, experimental results are given to verify the proposed strategy.
A Secondary Iterative Sifting EMD Algorithm and its Application to Bearing Fault Diagnosis
Authors: Tang Wei , Lian Yu Yang , Chen Xi , Pei Zhi Yong , Wang Qi
Published: March 2015

Aiming at the mode mixing problem caused by interpolation point selection of conventional EMD (Empirical mode decomposition) method, a secondary iterative sifting EMD method that can avoid mode mixing and achieve high-precision decomposition of HHT (Hilbert–Huang transformation) is proposed based on the theory of EMD. The simulation results show that the proposed method is superior to conventional EMD on the ability to split mixed signal. Finally, the proposed algorithm is applied to the fault diagnosis of rolling bearing and the test results have proved its effectiveness and advantages.
A Service Selection Algorithm Based on Heterogeneous QoS Model and Synthetic Weights
Authors: Zeng Sen , Ni Guo Qi , Fan Miao Miao , Zhang Lin , He Yuan Hua
Published: March 2015

Quality of Service (QoS) aware-based service selection problem is a multi-attribute decision making problem. In order to solve service selection problem with QoS indicators describe by different types of data, a service selection algorithm based on heterogeneous QoS model and synthetic weight (SSAoHS) is proposed. SSAoHS introduces real number, interval number and linguistic data to describe different QoS attributes, considers the subjective and objective weights wholly, and makes the final decision referring to the expectation and variance of QoS attributes after computing the synthetic scores. SSAoHS expands the traditional service selection and it is efficient and effective.
The MOA Live Detection System Based on Wireless Synchronization
Authors: Cao Yong Xing , Liao Hui Fen , Peng Qian , Wang Wei , He Liang , Chen Ying
Published: March 2015

The MOA is the main lightning protection equipment in power system, The status is generally monitored by online monitoring and offline test in routine maintenance. Traditional MOA live detection requires a lot of wiring, and has operation problems and safety risks. A new distributed MOA online monitoring wireless measurement is presented in this paper, that is, 433M wireless transmission and GPS clock synchronization technology fulfill distributed wireless synchronization measurement in MOA online monitoring device. Focusing on the design principles, implementation methods and the device composition, it is indicated that the wireless synchronization testing result is same with wired synchronization testing result, which can meet the requirements of MOA online monitoring.
Research on Latent Factor Model and its Optimization Algorithms of Machine Learning
Authors: Li Qing Feng
Published: March 2015

There are some bottleneck problems in the supervised machine learning and unsupervised machine learning. In view of the current problems, this paper tries to make some meaningful exploration. The main work is as follows: Research on the statistical analysis of factor analysis and latent variable and in some valuable research results of typical machine learning, and some no analysis method and factor analysis of supervised learning or hidden variables method to contact with the typical analysis, summary of the comprehensive characteristics of implicit factor model and to reveal the hiding data structures help and contributions.
Research on Unconstrained Handwritten Numeral Recognition by BP Feature Screening Based on Fuzzy Clustering
Authors: Ye Pei , Jiang Tao
Published: March 2015

In this paper, the recognition system of fuzzy clustering based on BP feature screening was put out. The figure specimens of experiment were filtered through BP network, and the result of screening was fit into the clustering source. At last fuzzy clustering was carried out by constituting the fuzzy relation matrix. The result of experiment demonstrates that this method has very high noise immunity capacity and overcame the limitation of traditional algorithm with single factor recognition. The recognition rate and precision ratio were greatly improved at the same time.
The Fractal Interpolating Algorithm of 3D Terrain Surface Reconstruction
Authors: Xiong Jian
Published: March 2015

Fractal is a science which studies very irregular and complicated natural shapes. It has been used widely in image processing. Firstly this thesis analyses the reasons that fractal can be used in 3D (Three Dimensions) terrain surface reconstruction. Then, it introduces fractional Brownian motion (fBm). On this basis, the thesis presents an interpolating algorithm to reconstruct 3D terrain surface. The algorithm uses fBm model to interpolate. It can be achieved simply and a good result is obtained.
The Study of Ant Colony Algorithm in Hydraulic Breakdown Diagnosis
Authors: Deng Jian Jun , Li Yan Bin , Zhang Lin
Published: March 2015

A kind of breakdown diagnosis algorithm was proposed based on Ant colony algorithm. The problem of fault identification and classification was translated to a constrained optimized clustering problem under certain conditions in this algorithm. It was applied to the process of fault diagnosis of a hydraulic system. The results show the algorithm is valid and reasonable.
Using Kernel Fisher Criterion for Gaussian Kernel Optimization
Authors: Zhong Li Yun , Liu Yu Ze
Published: March 2015

Empirical success of kernel-based learning methods is very much dependent on the kernel used. We propose an effective Gaussian kernel optimization approach for support vector machine (SVM). The key property of the proposed approach is that it adopts the kernel Fisher criterion (KFC) as the evaluation criterion to measure the goodness of the kernel used. After introducing a distance-based representation of KFC, we optimize the Gaussian kernel by using a gradient-based algorithm, which is based on the possibility of computing the gradient of KFC with respect to the width parameter of Gaussian kernel. The proposed approach is demonstrated with two popular UCI machine learning benchmark examples.
Zero-Displacement-Error ITAE Standard Forms Based on Modified Particle Swarm Optimization
Authors: Xu Ya Jian , Yang Yi Qun
Published: March 2015

An optional method for calculating parameters of zero-displacement-error ITAE standard forms based on modified particle swarm algorithm is put forward. The modified PSO improved by random inertia weight and natural selection theory aim to overcome the disadvantage of algorithm such as easily trapping into local optimal solution and slow convergence in the late evolutionary. Experiments result shows that the modified algorithm can get a more accurate global optimal value and the performance of standard forms optimized by modified PSO is significantly improved.
Application of Dynamic Chaos PSO Algorithm in Elevator Configuration
Authors: She Kun , Ma Lian Zhe , Wan Jian Ru , Li Dong Hui
Published: March 2015

A multi-objective optimized mathematical model of elevator configuration is established based on the analysis of the fact that elevator configuration is a problem of multi-objective optimization, and the weight coefficient of multi-objective function is set according to the characteristics of office building traffic flow. Dynamic Chaos Particle Swarm Optimization (DCPSO) algorithm, which is the improvement of the standard PSO algorithm, is used to optimize the multi-objective optimized mathematical model of elevator configuration. An application case illustrates that the DCPSO algorithm is reasonable and effective in elevator configuration through the application system of elevator configuration which is designed by the hybrid programming technology of VB and MATLAB.
Fluorescence Information Processing Based on Wavelet De-Noising
Authors: Shao Yong Xin , Yang Xiao Ping , Wang Zhi Yong , Yang Ya Juan
Published: March 2015

In this paper ,the method of the fluorescence lifetime (FL) in fluorescence optical fiber temperature sensor is used to measure the temperature. During the fluorescence information processing , because of existence of the system noise interference, measurement reliability of fluorescence lifetime has been greatly affected, thereby reducing the temperature measurement precision. This paper presents an improved wavelet threshold de-noising method to signal processing, which improves the signal-to-noise ratio and increases the measurement of fluorescence lifetime precision, reduce the error of temperature measurements at the same time. The experimental results demonstrate that this method is effective.
Image Shadow Removal Using Paired Region Illumination Transfer
Authors: Chen Qi , Yang Xing Ben , Jin Lei
Published: March 2015

In this paper we present a novel method for shadow detection and removal in single images. Instead of a single Gaussian distribution in the shadow detection stage, it is assumed as a Gaussian Mixture Shadow Model (GMSM) which parameters are estimated by model learning. In addition to considering individual regions separately, we predict relative illumination conditions between the shadow regions and non-shadow regions. The shadow image is recovered by relighting each pixel based on our paired lighting model. The experiment results confirm the effectiveness of our proposed method.
Character Segmentation of Chinese Rubbing Images Using Total Variation Preprocess
Authors: Huang Han , Huang Zhi Kai , Lin Mou You , Hou Ling Ying
Published: March 2015

Stone tablet is one of the important historical and cultural heritages of China. It is not only an important carrier of China ancient civilization, but also is a classical template to research and learn the art of calligraphy. Chinese calligraphy tablet documents that obtained through rubbing were featured by many fuzzy details, bad effect and so on, so it might lose more details in the traditional handling process. In this paper, a total variation (TV) based denoising pre-processing methods for rubbing image has been used, and then a segmentation algorithm based on mathematical morphology is applied. Experiments show this algorithm overcomes the shortcomings of traditional method and weakens the contradiction between the noise suppression and the accuracy of detecting edge details, so it has better practicality.
Detection of Bird Nests on Equipments of Electric Transmission Lines Based on Aerial Images
Authors: Xie Qi , Hu Jian Ping , Chang Zhi Wen
Published: March 2015

This paper presents a method for detecting bird nests on the equipments of electric transmission lines by aerial images. Firstly, an input color aerial image is transformed from the RGB space to the HSV space, and then bird nests can be segmented roughly from the aerial images by the K-means clustering algorithm. After that, some noises are removed by morphological filtering operations. Finally, the location of the bird nests in aerial images can be obtained by judging the shapes of the connected regions. Experiments show that this method is effective and can be applied to the helicopter patrol inspection system.
Genetic Programming for Letters Identification Based on Neural Network
Authors: Liu Yan Hui , Wang Zhi Peng
Published: March 2015

According to the problem that the letters identification is not high accuracy using neural networks, in this paper, an optimal neural network structure is designed based on genetic algorithm to optimize the number of hidden layer. The English letters can be identified by optimal neural network. The results obtained in the genetic programming optimizations are very satisfactory. Experiments show that the identification system has higher accuracy and achieved good ideal letters identification effect.
Disturbance Voltage Induced on the Intelligent Electronic Device Ports due to Switching Operations in Gas Insulated Substation
Authors: Ji Jian Fei , Liu Xiao Fan , Yuan Yu Bo , Yang Yi Fei , Jiao Chong Qing
Published: March 2015

There is great concern on the electromagnetic compatibility problem of electronic equipments in an intelligent substation, due to the compact structure resulted from high degree of integration between the primary electrical equipments and secondary electronic equipments. The very fast transient electromagnetic disturbance (VFTED) resulted from the gas insulated substation (GIS) switching operation has potential impact on the electronic equipments by the electromagnetic coupling between the VFTED and the circuit of “sensor-cable-intelligent electronic device (IED)”. This paper presents both experimental and theoretical results of the disturbance voltage induced on the ports in control cabinets during the disconnectors operating in a 500kV GIS substation. The considered ports are connected to a current transformer (CT) equipped nearby GIS switcher via a KVVP cable. The results show that the peak value, the duration time and the frequency range of the transient waveform are about 400V, 2 μs, and below 40 MHz.
Research on Voltage Balance Control and Simulation of Chain-Type APF in High Magnetic Field
Authors: Zhang Yue Ming , Li Jun , Liu Jia , Liu Xiao Ning
Published: March 2015

Steady-state magnetic field superconducting magnet power adopted double-inverse-star thyristor rectifier solutions, it is a typical non-linear load which will bring great reactive power impact and harmonic pollution at runtime. In this paper, according to the scheme of scientific facility chain-type high voltage active power filter (APF), a three-grade voltage balance control of capacitor method was proposed. Considering the non-linear characteristics of APF, we using fractional order PI controller instead of ordinary PI controller. The solution of fractional order calculus is realized based on the improved Oustaloup algorithm. Finally, the working effect of fractional order PI controller and ordinary PI controller are comparative analysis through simulation and experimental results, the results show that the DC voltage balance control strategy used in this paper is correct, and has a certain reference value.
Study on Stability and Reactive Power Optimization of Active Distribution Network Based on Bifurcation Theory
Authors: Dai Xian Bin
Published: March 2015

as the basic method used to analyze the stability of nonlinear dynamic system, it is able to more deeply discuss the stability problems of power system in the vicinity of a critical point in comparison with traditional analysis method. Active power distribution network is a complicated nonlinear dynamic system. The change of voltage stability is the process to convert from stable status to bifurcation in essence. Taking 10-node active distribution system as an example, the author studies the influence of reactive power optimization on voltage stability based on bifurcation theory. The author explains the reactive optimization algorithm based on numerical simulation, namely, it is the decision - making algorithm in order to realize multiple purposes of having minimum power network loss, largest reactive power margin with stable operation of power distribution network and minimum voltage floating in system fluctuation, which is proved to be effective in elevating power distribution system stability, reducing power loss and improving voltage quality.
Review and Outlook of HTS Cable Research
Authors: Zhang Bao Qun , Shi Rui , Chi Zhong Jun , Gong Cheng , Jiao Ran , Ma Long Fei , Chen Yan Xia
Published: March 2015

High-Temperature Superconducting (HTS) cable has the merits of high capacity, low line loss, narrow corridor, and environmental friendly, which has bright prospects for current tendency of accelerating development of renewable energy, shortage of available land, and awakening of environmental awareness. In the past decades, HTS cable technology made remarkable progress. Based on the past and current situation, the paper introduces the HTS materials for cable and presents the structures, classification, heat losses, and cryogenic method of HTS cable. Overview of HTS cable research in typical country is stated and representative HTS cable projects are listed. In the end, application outlook and development tendency of HTS cable in the future are made.
The Research, Implementation and Telegram Analysis of IEC61850 Services Mapping to MMS Read
Authors: Yu Cun , Li Gui Ju , Hu Huan , Huang Hao Ran , Shen Yan Hong , Cui Xiao You , Liu Jia
Published: March 2015

IEC61850 uses the abstract communication service interface (ACSI) and specific communication service mapping (SCSM) definition method. Most of data structure and communication service are mapping to Manufacturing Message Specification (MMS), but MMS has high abstraction, many 61850 ACSI services are mapping to one mms service [6]. At the same time there are many fuzzy definitions even mapping deviation phenomena, different vendors may have inconsistent understanding to the standard, this is harmful to the interoperability. This paper provide analysis and comparison to the 61850 ACSI services mapping to the MMS read, including GetDataValues, GetDataSetValues, GetBRCBValues and so on, and based on these, firstly gives implementation using the mms-ease lite of SISCO Company and detailed explanations of actual telegram. Our research is helpful to eliminate understanding difference and achieve interoperability. System test uses multiple popular software of different company to simulate as server, and the widely used network protocol analyzer software Omicron IEDScout is used to capture packets, the result verifies our implementation satisfy the functionality and interoperability.
Issue of Distributed Power Supply Is Introduced into Distribution Network
Authors: Du Zhi Qiang
Published: March 2015

This article through to the tianjin area distributed power source development situation investigation, this paper introduces the concept of distributed power supply, this paper expounds the types and characteristics of distributed power supply, analyzes the distributed power supply stability, access to distribution network security protection, power quality, reliability, the influence of the impact puts forward the main technical key.
Monitoring System of Leading Phase Operation of Generator Based on Virtual Instrument
Authors: Wei Yan Fang , Duan Jun Dong , Si Ji Kai , Zheng Zheng , Wang Xiao Wei , Yin Xiu Gang
Published: March 2015

A monitoring system of leading phase operation of generator based on virtual instrument is presented in this paper. The system is composed of signal acquisition module, signal interface conversion module, data processing module, output control module, data display module and communication module. The signal of leading phase operation of generator is collected firstly. After the signal acquisition, conversion and processing, the related processing and analysis by virtual instrument software module in the computer is carried out. Then the display and control signal is outputted. The real-time monitoring of generator leading phase operation state is realized by the system. The system can realize the real-time and comprehensive monitoring of leading phase operation of generator. The system also can achieve the collection, analysis, processing of data of leading phase operation, and the control, communication and display of output signal. Compared to traditional monitoring system, this system has the advantage of simple, powerful, real-time and high accuracy, and can be carried out through the network of online monitoring and remote monitoring. The monitoring system has greatly reduced the overall cost. The development cycle of the system is also short.
Fuzzy PID Control Strategy in the Application of the MPPT
Authors: Qiu Huan Yong , Yang Yi Qun
Published: March 2015

In photovoltaic MPPT control ,Compared with the traditional methods ,the conventional fuzzy algorithm had overcome the shortcomings of low accuracy, tracking slow and low efficiency from the external environment changes, And have no need to have excessive demands on the precision of the sensor and no "false positives" , Volatile situation still exist around the track points for it is asynchronous control, so there is a steady state error .A new method was proposed which combines the principle of fuzzy control and the PID control theory in this paper , The simulation results show the fuzzy PID can not only quickly respond to changes in the external environment, which can effectively eliminate the work of the maximum power point of the oscillation in fuzzy control and also make up shortcomings of a longer transition time. the simulation results proved the superiority of this algorithm.
Hybrid System for Photovoltaic Power Generation and Power Quality Control
Authors: Song Wei Wei
Published: March 2015

In this paper, a hybrid system to carry out the function of photovoltaic power generation and power quality control simultaneously was proposed. The configuration and principle of the hybrid system were discussed firstly, and then the mathematical model of the hybrid system was presented. To realize the compound function, a deadbeat compound control strategy was proposed. In the compound control strategy, the calculation method of the reference signal is proposed to achieve reactive power and harmonic detection, active signal for grid-connected electricity generating and DC-side voltage maintaining; to improve the dynamic response and decrease the steady-state error of the hybrid system, deadbeat compound control method was proposed. The new hybrid system is implemented in a 10kVA prototype in the laboratory. Simulation and experimental results show that the proposed hybrid system can effectively stabilize photovoltaic power generation, reactive power compensation, and harmonic elimination.
Research on Peak Capacity of Distributed Photovoltaic Generation Based on Voltage Deviation Model in Distribution Network
Authors: Li Tian Tian , Wang Jiang Bo , Wang Wen Li
Published: March 2015

Large-scale grid-connected photovoltaic generators will cause out-of-limit of voltage deviation. The model of voltage drop caused by loads and voltage rise caused by PV generators are established under different loads or PV distribution modes along the line, and the maximum allowable capacity of PV power injected into the grid without causing over-voltage is calculated, assuming the bus voltage deviation reaching the upper limit. The maximum PV penetration level of typical distribution lines is derived under the condition that PV generators is of the same distribution mode with loads, and the voltage margin at the head end of the line without causing over-voltage is proposed. The results show that over-headlines can carry much more PV power than cables, and over-voltage will be avoided by controlling the PV power according to the connected bus voltage, and suitably lowering the bus voltage will allow more PV to connect into the grid.
Short-Term Output Forecasting Model of Photovoltaic Electric Field Based on Wavelet Transform
Authors: Chen Bo , Li Yuan
Published: March 2015

As the meteorological parameter of numeric weather forecast model has systematic error, which leads to the restriction of forecast precision for photovoltaic electric field, the paper put forward a short-term output forecasting model of photovoltaic electric field based on wavelet transform. Wavelet transform algorithm that using 4 series of sym6 wavelet decomposition conducts a dynamic correction to the wind speed data outputted by numerical weather forecasting. Through combining other meteorological data, it formed a new amended meteorological data collection used to forecast the photovoltaic power; according to the two training set of both the original and the amended meteorological data, two prediction model based on original and amended neural network outputted by photovoltaic plant power are established. By comparing the measured data and model analysis data within a same period, it shows that the amended model can significantly reduce the RMSE of predict results and decrease the error from 70.66% to 70.66%, and increase the relative accuracy from 70.66% to 70.66%.
A Hybrid Damping Method for LCL-Filter Based Grid-Tied Inverter
Authors: Ma Lan , Xu Hong Bing , Zou Jian Xiao , Li Meng Shu , Han Tao
Published: March 2015

With more and more distributed renewable energy connecting to the power system, inverters are widely used as the power electronic interface. However, high-order filters will inevitably bring in problems of resonance. Additionally, long-distance transmission and quantities of inverters increase the grid impedance obviously. Wide variation of grid impedance will not only impact on the resonance of filters, but also challenge stability of inverters system. This paper investigates how resonance and stability of grid-tied inverter with LCL-filter will be affected by the grid impedance. And a hybrid damping method based on RC parallel damper and biquad digital filter is proposed, this method presents relatively low power losses, requires no extra sensors and control loops with its simple damping strategy design. Moreover, it apparently improves system stability and waveform quality of grid-side current when grid impedance varies in a comparatively large range. Both validity and feasibility of this algorithm are verified via simulations.
Parasitic Capacitance Extraction Using Finite Element Method on Polygonal Mesh through Piecewise Interpolation
Authors: Ren Dan , Gao Zhan , Xu Xiao Yu , Ren Zhuo Xiang
Published: March 2015

Parasitic capacitance extraction is a critical issue in the area of integrated circuit (IC), its performance heavily depends on the electromagnetic field solver involved. To improve the computation accuracy and efficiency, the interpolation finite element methods (FEM) have been investigated to deal with polygonal elements. Such methods are based on the thinking of generalized barycentric coordinates, such as mostly used mean value coordinates, Sibson coordinates, andetc. They have demonstrated good convergence and accuracy. However, they are time consuming during processing shape functions for Galerkin-schema FEM. A kind of piecewise interpolation method within convex polygonal element is presented. The polygon is divided into triangular sub-regions utilizing its barycenter, where the shape functions related to the whole polygon are conveniently and quickly acquired. The method has excellent performance in computation speed and shows good convergence and high accuracy. A comparison between different FEMs is performed with a typical electrostatic capacitance extraction example.
Analysis of the Principle of Laser Displacement Sensor and its Application
Authors: Zha Jian Lin , Li Huai Zhan
Published: March 2015

The traditional contact measurement in contemporary industrial technology high speed development situation has been unable to meet the need of measuring field. Laser displacement sensor as a non-contact measurement rookie, because of its various measurements has been widely applied to various measurement. Based on the analysis of the measurement and analysis of the principle of laser displacement sensor and its components, established the mathematical model of measuring principle, has guiding significance for beginners.
Power Control of PWM Rectifier with Resistive and Reactive Load
Authors: Fan Lu Yi , Li Fang , Wang Kai Hang
Published: March 2015

The realization of power modeling and power control of PWM rectifier with resistive and reactive load is based on the method of Lyapunov. Firstly, PWM rectifier's mathematical power model is established in d-q synchronous rotating coordinates, and balance point is found according to the control requirement of the system and analysis the stability of the equilibrium point according to the Lyapunov method and invariant theory. Then PWM rectifier's power controller has been gotten through damping injection. The designed power controller realizes fast voltage tracking and makes the net side power factor as 1, which has great inhibitory effect on resistive and inductive disturbance. Influence on the system exerted by different damping injection is analyzed and feasibility of PWM rectifier's power control based on Lyapunov method is verified.
Research on Application of UPQC in Electric Vehicle Charging Equipment
Authors: Gong Cheng , Shi Rui , Chi Zhong Jun , Zhang Bao Qun , Ma Long Fei , Jiao Ran
Published: March 2015

In order to improve the power quality problems caused by electric vehicle charging equipment, this paper put forward the research on Application of Unified Power Quality Controller (UPQC) in the charging field. Based on the mathematical model of UPQC, current control unit with state feedback single loop PI controller and voltage control unit based on dual PI loop controller are designed. Based on the mathematical model, the design reference parameters are derived. Finally, a UPQC prototype is developed and experiment is carried out, results show that UPQC has good application prospect in the field of electric vehicle charging.