bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Vibration Characteristic of Single-Phase Three-Limb Transformer under DC Bias
Authors: Jin Shuhan 
Published: December 2019

Abstract
The analysis of vibration characteristic under DC-biasd excitation is a key of improving the safety and reliability of transformers. Based on a vibration experiment of a single-phase three-limb transformer under DC bias, this paper investigate the vibration at different measuring points and analyze the spectrum of the experimental results. The results show that DC bias phenomenon will not only aggravate the vibration of the transformer, but also affect its harmonic content. With the DC current increasing to a certain extent, the speed of displacement increment slows down.
Development and Testing of a Simple Circuit Characteristic Tester System
Authors: Liu Yan , Tang Mingze , Huang Linyan , Zhang Yuang , Zhang Tongtong 
Published: December 2019

Abstract
The simple circuit characteristic tester system is based on circuit construction and design. The system uses the f407 of the STM32 chip as the main control chip, and combines the test circuit and the basic operational amplifier circuit (voltage follower), RC filter circuit, relay control. The circuit and the triode regulator circuit are tested. The system uses a single-chip microcomputer to generate a sine wave (DAC) with amplitude of 0-3.3VPWM and amplitude of 0.1-1V, and then attenuates ten times as an input by the op amp, and performs ADC sampling comparison on a specific part of the circuit to complete the input resistance and output resistance of the circuit. And the gain and frequency characteristic curve at the frequency of 1KHZ. Finally, the system can automatically measure and measure the fault of a given component through programming. The system analyzes and compares the output waveform at a specific circuit as a single-chip microcomputer. The input is then judged by the processing of the microcontroller. In the process of system operation, the OPA2314 operational amplifier is used. The triode adopts the Model 9013. A small capacitor with a value of 100nF is added between the power supply and the ground, which enables the system test to be successfully completed.
Research on Failure Modes and Impact Analysis of Key Electronic Components
Authors: Zhang Wei , Qi Shangmin , Zhang Haomiao , Pan Chenglong , Wang Wenhao , Han Dongjun 
Published: December 2019

Abstract
Analyze the failure mode of electronic components, find the type of stress that causes the failure of the energy meter, trace the key components that cause the fault, and complete the failure mode and impact analysis of key electronic components through failure detection means and failure analysis experiments. In order to develop a reliable product, it is necessary to understand the potential failure mechanism of the product. Modeling to describe the relevant failure modes can promote the development of product design principles. The research results of failure mechanism are not only conducive to improving the reliability manufacturing level of domestic electric energy meter, but also can save the maintenance and transformation cost of electric energy meter, and have very important practical significance for the construction of smart grid.
Development of brake system test-bed for high-speed train
Authors: An Ziliang , Wang Weixin , Chen Taohan 
Published: December 2019

Abstract
As the speed of high-speed emu increases, the service conditions become more and more severe and complex. Brake system is an important guarantee of safety, so it is urgent to study the design concept and test method of brake system. There are relatively few researches on high-speed train brake test bench in China, and the existing test bench still has shortcomings in compatibility, real-time simulation and other aspects. Aiming at these problems, this work builds a brake test-bed for emu, which can complete the research test, performance test and reliability test of high-speed emu brake system and key components. At the same time, cooperate with Amesim, the braking process is simulated and predicted, and the braking process is analyzed by breakpoint, which provides a basis for the analysis, design and improvement of the braking system after experiment.
Study of Solving Electrostatics by Partial Differential Equation the Relationship between Dielectric Medium and Capacitance
Authors: Yang Guangzhao 
Published: December 2019

Abstract
The Maxwell equations as a fundamental equation governing the electromagnetic fields are investigated. Several ideal systems of parallel plate capacitor with various dielectric mediums are discussed. By considering these cases, the boundary conditions in the process of solving the equations and the separation of variables as a primary method to solve the equations are studied, which will be the foundation of our future work.
Trajectory Planning of 7-Degree-of-Freedom Manipulator Based on ROS
Authors: Xu Xiangxin , Duguleana Mihai 
Published: December 2019

Abstract
In order to solve the problems of complex modeling of multi-degree-of-freedom redundant robot, difficult motion trajectory planning, tedious operation of traditional robot simulation tools and incomplete functions, this paper obtains a trajectory planning method under ROS system through the research of open source robot operating system ROS (Robot Operating system), and realizes the trajectory planning of seven-degree-of-freedom manipulator Cyton Gamma 300. Get the package of the target robot through the GitHub website and save it to the corresponding path, display the model of the manipulator in the RViz, and use C++ related interface provided by Moveit! To simulate the straight line and circular arc trajectory planning of Cyton Gamma 300 manipulator in Cartesian space on this platform. The experimental results show that the joints of the manipulator move smoothly and the accuracy of the end position meets the requirements.
Design and Research of Big Data Collection and Analysis Platform Based on Cloud Computing
Authors: Pei Xuan , Ren Xiaoying 
Published: December 2019

Abstract
More new technologies and products emerged in the era of big data. In the era of big data, the paper proposes a big data collection and analysis platform based on cloud computing. The paper first designed the software architecture and network architecture of the big data analysis platform. Secondly, comparing the data platform with the traditional data analysis platform, the platform can quickly process high-correlation and complex data, and reduce the response time of data analysis and processing. The platform has good practical value in big data service processing.
Attitude Control of Flying Wing UAV Based On Advanced ADRC
Authors: Shan Yuqiong , Wang Song , Konvisarova Anastasiia , Hu Yujing 
Published: December 2019

Abstract
The main points of the problem are that the flying wing UAV has strong coupling, obvious nonlinear characteristics and significant changes in steering efficiency during the flight, a combination of ADRC (active disturbance rejection control) and PID (proportional-integral-derivative) was proposed. The adaptive control method is designed with the angle and angular velocity as the controlled variables. The UAV flight attitude control system was designed, where the ADRC control law is used as the outer ring to control the angle, and the inner ring uses the PID to control the angular velocity. In order to solve the problem of high frequency jitter in traditional ADRC, a new nonlinear function is used to optimize the design. Simulink simulation shows that the attitude control overshoot is less than 1% and the adjustment time is less than 2s, which satisfies the control of the flying wing UAV. The flight test was finally carried out to verify the feasibility of the algorithm at the request.
Application of FCS-MPC Model Predictive Control Strategy in High Power Multilevel NPC/H Inverter
Authors: Wang Guifeng , Chai Yanli , Yan Junrong , Wang Fei 
Published: December 2019

Abstract
Aiming at the current oscillation and delay of traditional limited control set model predictive control (FCS-MPC), an improved FCS-MPC is proposed. Eliminate current oscillation by using two adjacent voltage vectors and zero voltage vector to work together in one sampling period. In order to reduce the switching frequency, the effects of the voltage vectors are sequentially ordered to obtain an optimal voltage vector sequence (OVVS). In the high-power five-level NPC/H-bridge inverter, the modulation control experiment is carried out, and the simulation model is built by Simulink software. The simulation results verify that the proposed improved FCS-MPC model is in the high-power multi-level NPC/H inverter. Predictive control effectiveness.
The Design of a Power Plug Retainer
Authors: Zhao YaPing , Chen ZaiLiang , Weng YunXian 
Published: December 2019

Abstract
Due to the increasing use of electrical appliances in homes and office spaces at the present day, a large number of electrical appliances and fewer sockets leads to a variety of power cords crisscross and messy scattered. This not only affects the appearance, but also has the potential safety hazards of short circuit or electric shock. This paper innovatively designed a power plug retainer with a simple structure and low price. The designed power plug retainer has obtained the national invention patent authorization, which has a strong practicability and broad market prospect.
Research and Implementation of an UAV Engine Debugging Earmuff System
Authors: Liu Changliang , Lin Dongsheng , Zheng Xing , Liang Shaojun , He Zhongzhu , Zheng Haitao , Sun Lanqiong , Su Xing 
Published: December 2019

Abstract
Aiming at the problem that speech communication can not be implemented due to the huge noise of UAV engine debugging, a debugging earmuff system based on radio communication is designed. The system captures the debugger’s mouth shape by camera, and uses lip recognition technology to obtain the instructions expressed by the debugger through region detection, lip feature extraction, training and recognition. After modulation, the instructions are transmitted to the distant place by the wireless transmitter module in the form of electromagnetic waves. At the executing end, the antenna is used to receive the radio information and to release it by voice after demodulation, so that the cooperator receives the instructions from the debugging end.
Decentralized Genetic Algorithm for Dynamic Plant Layout Problem
Authors: Liang Weidong , Fang Dianjun 
Published: December 2019

Abstract
The research of dynamic plant layout problem (DPLP) is to find the optimal layout scheme within multiple periods of production, with the increasing scale of calculation, the efficiency of the traditional centralized algorithm may be decreased. In this paper, we proposed a decentralized genetic algorithm (DGA) which combines genetic algorithm (GA) with decentralized optimization technology. Simulation experiments are carried out to compare the decentralized genetic algorithm with the centralized one, and the result shows that the decentralized method is better than the latter at convergence rate and optimization result. On the other way, the decentralized algorithm is a parallel computing technology, so it can improve computational efficiency especially in high-complexity systems.
A Compact High Efficient Wideband Electromagnetic Pulse Radiator
Authors: Chen Hong , Xiao Kaiqi , Xu Jianjun 
Published: December 2019

Abstract
A wideband electromagnetic pulse oscillation and radiation method is studied. A compact high efficient wideband electromagnetic pulse radiator is developed based on this method. Simulation analysis and experimental results show that the radiation device can obtain more than 40% equivalent voltage radiation efficiency.
An Incipient Fault Location Method Based on Impedance Calculation
Authors: Liu Xintong 
Published: December 2019

Abstract
Incipient faults are precursors to permanent faults. The location of incipient faults can effectively prevent permanent faults and reduce the losses caused by faults. In this paper, the Mary fault model is used to simulate the incipient faults by using the arc gap theory to study the incipient fault current and voltage waveform characteristics. An incipient fault location algorithm is proposed on the fault voltage and current waveform characteristics. The line reactance and fault location are obtained by least squares method. Optimizing the algorithm reduces the amount of computation and preprocessing the results to reduce the interference of the error. Finally, a 10kV single-core cable model was built by PSCAD/EMTDC to verify the reliability of the algorithm.
Fuzzy PID based temperature controller for jetting dispenser
Authors: Deng Guiling , Feng Zhiyi 
Published: December 2019

Abstract
In order to reduce the temperature fluctuation of adhesives on jet dispenser, a fuzzy PID temperature controller was designed. An experimental platform was built on the jetting dispenser. The experimental result shows that the stability of the new system is better than that of the classic PID controller, and the temperature fluctuation is reduced by 0.5°C.
Partial discharge development stage division based on multi-classifier fusion
Authors: Sun Changhai , Su Xiaomin , Zhao Zirui , Hang Huifang , Li Tianlun , Wang Chunfeng , Ma Shuang 
Published: December 2019

Abstract
The oil-paper insulation air gap discharge experiment was carried out by the step-up method, and the 29-dimensional discharge characteristic parameters were extracted. The oil-paper insulation air gap discharge experiment was carried out by the step-up method, and the 29-dimensional discharge characteristic parameters were extracted. According to K-means clustering, the partial discharge development stage is divided into four stages: initial discharge stage, discharge development stage, discharge stability stage and near breakdown stage. The three basic classifiers of random forest, support vector machine and back propagation neural network are trained by the credibility-based adaptive weighted voting algorithm to train a new fusion classifier. Compared with the traditional classification fusion device, the proposed classifier fusion model can effectively improve the accuracy of the identification of the discharge development stage, up to 87.5% or more.
Active power translation droop control method for converter station of MTDC system
Authors: Yu Hongguo , Kang Zhongjian , Li Changchao 
Published: December 2019

Abstract
The DC transmission system with wind farm has the characteristics of power and frequency follow-up, it is difficult to realize the stable control of power and voltage in the common control mode of converter station. In order to improve the steady-state characteristics of the active power control of the multi-terminal HVDC (MTDC) power system with wind farms, to eliminate the static deviation existing in the system and avoid the system overvoltage during the operation, the model for MTDC system with wind farms was established and analysed. And a control strategy for p-u sagging curve translation through power measurement is proposed in this paper. A four-terminal VSCMTDC simulation model in the Matlab/Simulink platform is built. And the proposed MTDC system control strategy is verified under the different simulation conditions. It can ensure that the system transmits active power within the rated capacity range and the DC voltage of the converter stations is stable and accurate.
Transformer for Single-phase Line Break Fault in Low Voltage Three-phase Distribution System
Authors: Guo Cheng , Chen Zhiyuan , Zhou Fulin 
Published: December 2019

Abstract
Single-phase line break fault is becoming more and more frequent in low voltage three-phase distribution system. Therefore, once the single-phase line break fault occurs, three-phase loads cannot work, which will cause unnecessary economic loss. This paper proposed a transformer that can transfer power from two-phase to three-phase for single-phase line break fault in low voltage three-phase distribution system. The proposed transformer can solve the problem that these three-phase loads cannot work due to single-phase line break fault. At the same time, the principle that the transformer transfers power from two-phase to three-phase is analyzed. Finally, simulation results verify that the proposed transformer can transfer power from two-phase to three-phase.
An accurate method for detecting moving circular face with chamfer in video
Authors: Shu Min , Li Baofu 
Published: December 2019

Abstract
A Circle is a common shape in mechanical parts, which projects as ellipse in image or video. In industrial video, target ellipse is often chaotic due to chamfer interference and external interference. An algorithm is proposed to precisely detect ellipse in video on basis of arc analysis in this paper. Compared with the previous methods, the algorithm adds the step of re-extracting the omitted arcs in first detection, and distinguishes target from interference, so it is more accurate. Combined with a video about the fatigue experiment of self-lubricating joint bearing to analyze, the effectiveness and accuracy of this algorithm are verified intuitively.
Monocular vision based pose measurement of 3D object from circle and line features
Authors: Fu Weixin , Li Baofu 
Published: December 2019

Abstract
An approach for estimating object pose from establishing equations between the features and their projection is proposed. In the case that the focal length of camera is unknown, this paper establishes the mathematical model between the circular feature of 3D Object and its projection through a series of basic changes, and adds common linear feature to provide spatial geometric constraint for pose measurement, then provides the nonlinear equations with seven unknown parameters. The equations are transformed into objective function, then the algorithm of the One-Dimensional search is applied to obtain the optimal value of the focal length. The other parameters can be calculated by the focal length. Experimental results verify the validity and accuracy of the method.
The Reform and Practice of Educational Technology Major in the Age of Artificial Intelligence 2.0
Authors: Xiao Wei , Bie Mei 
Published: December 2019

Abstract
The current professional talent training program, curriculum setting, teaching method, etc., of educational technology major have failed to meet the requirements for the society gradually. There are three main aspects of the “AI+” Educational Technology professional reform of Changchun Normal University: knowledge, ability and the professional qualities. In the future, artificial intelligence will play an irreplaceable role in improving the quality of teaching and learning.
Mining of Implicit Association Relationship of Text based on Audit Knowledge Base
Authors: Liu Gang , Li TengFei , Zhou ZhenYu 
Published: December 2019

Abstract
In the knowledge base, the concept is refined, and it is difficult to realize the analysis of correlation between concepts through statistical means. However, a large number of domain business relationships stored in the knowledge base provide the basis for the inter-concept relationship. By analyzing the characteristics of the direct correlation between concepts, we can find the indirect relation between the concepts implicit in the knowledge base. To measure the degree of the indirect correlation between the concepts, we can select the strong association relation that meets the requirement as the association rule with potential significance in the knowledge base.
An Equivalent Magnetic Circuit Model of PMSM Demagnetization Fault
Authors: Zhang Zhiyan , Zhang Xuan , Wang Yuandi , Qin Peng , Zhang Fu 
Published: December 2019

Abstract
The PMSM (permanent magnet synchronous motor) demagnetization fault simulation model and the equivalent magnetic circuit model under normal operation were established, and the calculation method of each parameter on the equivalent magnetic circuit model was analyzed. Then the demagnetization factor that represents the demagnetization severity was introduced, and the calculation method of parameter under the fault condition of the PMSM was deduced, and the air gap flux densities of the PMSM under different working conditions were calculated. At last, the validity of this model was verified by comparing the results of the partial demagnetization simulation and the equivalent magnetic circuit model.
Menfish Classification Based on Inception_V3 Convolutional Neural Network
Authors: Huang Jiangchang , Gong Weijie , Chen Hong 
Published: December 2019

Abstract
Due to the impact of global environmental pollution deterioration, as well as uncontrolled fishing activities. The global fish stocks are becoming more and more serious, so it is necessary to pay attention to this issue. In this paper, the characteristics of traditional fish identification methods are vast, subjective factors are strong, and the current accuracy is not good in today’s deep learning. A migration learning based on Inception_v3 network with excellent feature extraction ability is proposed. Fish recognition model This model has better recognition ability than traditional models and some simple convolutional neural networks, and further improves the accuracy of Inception_v3 for fish recognition.
The On-Resistance Model of Silicon Carbide Merged PiN Schottky (MPS) Diodes
Authors: Du Qiwen , Tao Xuehui 
Published: December 2019

Abstract
A novel resistance model of silicon carbide (SiC) merged PiN Schottky diodes (MPS) is presented in this study. With this model, the device characteristics and power dissipation can be predicted. The on-resistance in the three operating modes, namely, unipolar, low-injection and high-injection modes, is calculated. In the unipolar and low-injection modes, the effect of temperature on carrier mobility and conduction angle are added to the factors that need to be considered, whereas the influence of current density is considered in the high injection mode. The carrier distribution in the high injection mode is analyzed and applied to determine the resistance. The model is verified experimentally via comparison of the calculated and measured characteristics.
Research on Partial Discharge Diagnosis Based on Data Augmentation and Convolutional Neural
Authors: Yang Yi , Gu Chao , Qin Jiafeng , Shao Zhenyu , Song Fang , Li Yao 
Published: December 2019

Abstract
Partial discharge is a common phenomenon in the operation of electrical equipment. The detection of partial discharge is an important method to evaluate the insulation state of electrical equipment. Accurate and effective identification and evaluation of partial discharge is of great significance for the operation and maintenance of power equipment. This paper first introduces the basic characteristics of partial discharge, commonly used detection methods and defects. In view of the low efficiency, poor generalization and low accuracy of shallow neural network diagnosis, a new method based on data augmentation and convolution neural networks is proposed. The partial discharge diagnosis method of Convolutional Neural Networks (CNNs) is used to establish a partial discharge diagnosis system. Through the verification of the real PD diagnosis case, the partial discharge diagnosis system based on this method has higher recognition rate and stability.