bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Manufacture of GaN Powder in Plasma
Authors: Li Yafeng , Yang Wenzhi 
Published: November 2020

Abstract
In this paper, the preparation technology of GaN powder has been studied by using of plasma powder synthesis system, and several properties were improved such as: the morphology, the particle size, structure and optical properties. The result shows that, by applying for plasma method, high purity GaN powder was manufactured; the GaN has a good morphology and a regular spherical shape. The spherical ratio of the GaN powder was more than 95%; The GaN powder can be adjusted with different process parameters to achieve particle size control; The GaN powder has sharp diffraction peak and good crystallinity; The GaN powder has the structure of wurtzite and good luminescent properties.
Anti-plane Response of a Dike near Bi-material Interface to SH Waves
Authors: Ri Songchol , Wang Shuhong , Jang Paeksan , Wang Yue 
Published: November 2020

Abstract
In the present work, we study the scattering of SH waves by a dike embedded near the interface of bi-material half space. For this, a simple model is utilized to discuss the response of a dike near the interface. Complex function method, image principle, region-matching technique and Green function method are introduced to obtaine the total displacement fields along the free surface of the dike. The results are presented graphically considering the different material parameters. The results show that the displacement along the dike is greatly dependent upon the properties of bi-material interface.
Research on Coordination Control Strategy of LCC-MMC Hybrid HVDC Transmission System under Fault
Authors: Zhang Mingguang , Liu Zilin , Yang Chengming , Chang Jianhua 
Published: November 2020

Abstract
High voltage direct current based on modular multilevel converter (MMC-HVDC) has a good application prospect in engineering, but it is expensive and cannot handle DC faults and other disadvantages. So it is still not suitable for long-distance transmission. To solve these problems, this paper designs multi-terminal hybrid DC transmission system with a line commutated converter based on the rectifier side (LCC) and a modular multilevel converter based on the inverter side (MMC). Besides, for the asymmetric fault on the AC side of the system, the minimum trigger angle control strategy based on the rectifier side LCC and the maximum modulation ratio control strategy based on the inverter side MMC are proposed to improve the DC system transmission power and reduce the possibility of power transmission interruption. Finally, a model of hybrid DC transmission is built in PSCAD/EMTDC, the proposed strategy is verified its effectiveness.
Research on the Fault Location Method of Double-terminal MMC-HVDC Transmission Line without the Influence of Wave Velocity
Authors: Zhang Mingguang , Yang Chengming , Liu Zilin , Chang Jianhua 
Published: November 2020

Abstract
Due to its own advantages, MMC-HVDC transmission system has been widely used in power transmission and grid connection. According to the existing double-terminal traveling wave fault location method of MMC-HVDC transmission lines, a double-terminal traveling wave location method is proposed, which is not affected by wave velocity. The wavelet transform is performed on the voltage traveling wave signals at both ends to determine the time when the traveling wave reaches both ends of the line, and the distance of the fault point is calculated. It effectively reduces the influence of the uncertainty of traveling wave velocity on the positioning results and improves the positioning accuracy. The simulation of PSCAD and Matlab software proves the effectiveness and correctness of the method.
Research on Operation Control Strategy of Multi-Voltage DC Microgrid
Authors: Wang Jinhao , Chang Xiao , Li Shengwen , Zhang Ying , Li Huipeng , Wang Xu , Wang Tan 
Published: November 2020

Abstract
In order to reduce the use of power electronic devices, adapt to different loads connected to the DC microgrid, and improve the reliability and safety of power supply, this paper proposes a multi-voltage level DC microgrid control strategy. The basic structure and operation mode of multi-voltage level DC microgrid are introduced. The control strategies of photovoltaic power generation and hybrid energy storage are proposed. The model of bidirectional DC/DC converter is established and the control strategy of hierarchical control of DC bus voltage is proposed. A power balance control strategy is proposed for AC/DC bidirectional power converter to realize smooth AC-DC power transfer. Simulation analysis on Matlab platform verifies the feasibility of the control strategy.
Failure Rate Model of Electric Equipment Based on Meteorological Environment
Authors: Song Chen , Zhao Yan , Xue Kaijin , Li Yucai 
Published: November 2020

Abstract
With the development and progress of equipment status monitoring and fault diagnosis technology, the status maintenance based on equipment status evaluation is gradually popularized and applied. By monitoring the quantity of equipment state and diagnosing the equipment state, a reasonable method of equipment state evaluation can be used to determine whether the equipment needs maintenance or not. This paper proposes a method of power equipment failure rate model based on meteorological environment. This method firstly uses the fuzzy c-means algorithm(FCM) to conduct fuzzy clustering of meteorological environment sequences in the historical sample data and forecast meteorological sequences in the maintenance period. Then, on the basis of clustering analysis, the grey relational degree analysis is carried out on the same kind of meteorological feature sequence, so as to obtain the power equipment failure probability with meteorological conditions in the maintenance period. The results show that the proposed method can more accurately calculate the failure probability of the equipment, and it is of practical significance to reduce the influence of maintenance on the reliability of power grid operation.
Application of Blockchain in Energy and Power Business
Authors: Xue Zhen , Pan Xiaoting , Lv Zitong , Liu Tao 
Published: November 2020

Abstract
As a decentralized, open, transparent, fair and peer-to-peer distributed database technology, blockchain has the technical characteristics of anti-counterfeiting, anti tampering, traceability and efficiency improvement, which had attracted the attention of many industries including energy and power industry. This paper first analyzed the pain points such as data security sharing, power transaction security and power transaction mode and so on, in current energy and power business, expounded the role of blockchain in solving the above business pain points. Then designed an application framework of blockchain in power business, and illustrated power transaction and supply chain finance to describe the application of blockchain. Finally, prospected the application prospect of blockchain in power industry.
Research and Application of Power Grid Control System Based on Blockchain
Authors: Xuan Jiaxing , Zheng Shangzhuo , Lv Zitong , Du Yuexia , Pan Xiaoting 
Published: November 2020

Abstract
This paper systematically proposes a grid control method and application model based on the blockchain. The control platform system adopts a national-provincial two-level deployment scheme (the control system is a multi-node deployed cloud system). This method treats both the national cloud system and the provincial cloud system as nodes in the blockchain. The national cloud system is the leading role of the blockchain and is responsible for the maintenance of the entire network model structure and the update and release of smart contracts. When the model structure or data of any node changes, the provincial system synchronizes the information and updates the local model data. Each block stores the node’s model operation information (addition, deletion, modification, etc.) according to the time series. According to the information on the chain, the entire network model (node data) can be traced at any time.A blockchain-based model control system that treats both the national system and the provincial system as blockchain nodes. Through smart contracts, a model data chain containing the entire network model and model maintenance “ledgers” is created, and each node can synchronize information and obtain data in real time. Model data, across the entire network and at any time, can be traced through the “ledger”, which not only ensures data security and credibility, but also can be used for analysis, mining and business development. This method has good technical innovation and business practicability.
Simulation Study of the Influence of Stray Current on DC Bias of Power Transformer
Authors: Zhang Jingzhuo , Song Xinming , Xiao Li , Chen Long , Wu Guoxing , Cui Yuzhong , Lai Zhenyu , Li Qiyuan 
Published: November 2020

Abstract
The running of subway rail transit can generate stray currents. This is a current that causes severe corrosion of the buried metal near the subway, and also generates DC bias, which affects nearby power transformers. There are few studies related to the influence of DC bias created by stray current on power transformers. This makes it difficult to determine the impact of subway rail transit on the DC bias of nearby power transformers. To explain the effect of stray current on the DC bias of the power transformer, the characteristics, master sheets of stray current and the principle of DC bias of stray current are analyzed, and a power transformer model of stray current generating exciting current is established. The harmonic components in the stray current are simulated and analyzed. The simulation results show that the track insulation aging caused by subway operation will generate stray current, which will flow into the grounding grid and cause DC bias of the neutral grounding transformer, and then make the transformer core saturated. The amplitude of harmonic component and excitation current will increase with the increase of stray current.
Current Stress Optimisation Strategy for Three-phase Dual Active Bridge Converter during the Start-Up Process
Authors: Chen Guofu , Mu Xiaobin , Wang Xiang , Jiao Honglin , Hao Ruixiang , Zhu Wu 
Published: November 2020

Abstract
Three-phase dual active bridge (3p-DAB) converter is widely used in high-power bidirectional power transfer applications, due to its unique high power density and easy implementation of soft switching. In this paper, the start-up process of the 3p-DAB converter is studied. The cause of high current stress, especially in the case of heavy-load start-up is analysed, and a new start-up control strategy for the start-up process is proposed. The control strategy is helpful to reduce the current stress of the transformer and the switches by adjusting the duty-cycle and the phase shift angle coordinately without adding any other hardware circuits. Finally, based on a TMS320F28377D + XC6SLX25 controller, a 30kW 3p-DAB converter prototype with input voltage 650-750V and output voltage 400-500V is developed to verify the effectiveness of the proposed start-up strategy.
Design of High-Speed Quaternary D Flip-Flop Based on Multiple-valued Current-mode
Authors: Wu Haixia , Bai Yilong , Li Xiaoran , Wang Yiming 
Published: November 2020

Abstract
A new type of quaternary D flip-flop based on multiple-valued current-mode is presented for high-speed sequential circuit in VLSI systems. It employs master-slave mode and dynamic multiple-valued source-coupled logic. A distinguishable multiple-valued interval, fast switch speed and compact structure are obtained by combining source-coupled logic with differential-pair circuit. The performance evaluation is carried out with HSPICE using 0.18μm CMOS process. A performance comparison with those issued in some references is conducted. The delay in our design is about 74% reduced by comparison with the corresponding binary implementation. The circuitry proposed is simplicity, regularity, and modularity, so well suited for VLSI implementation. Quaternary logic seems to be a potential and feasible method of high-performance VLSI systems.
A Frequency Measurement Algorithm for Power Quality Monitoring Terminal
Authors: Chen Kaiming , Huang Lvchao , Liu Zhu 
Published: November 2020

Abstract
With the continuous access of high-power electronic equipment, electric vehicles and other loads in the user side, the frequency of power grid fluctuates. As one of the power quality parameters, higher or lower frequency has a negative impact on power system and users. Therefore, the accurate measurement of frequency is of great significance to the State Grid and users. In order to measure the frequency accurately, this paper proposes a frequency measurement method according to power quality monitoring technical specifications issued by the State Grid in 2017. Through the design of band-pass filter to filter out DC (Direct Current) component and high-frequency harmonic interference, along with the improved zero-crossing detection process, aim to judge the whole cycle wave number and its occupation time in ten-second time interval. Matlab is used to simulate the accuracy of the algorithm under different conditions. The results show that the error range measurement of frequency is far less than the accuracy level of class A and S power quality testing equipment. Therefore, this algorithm is feasible in the application of power quality monitoring terminal.
Application of the Automated Control System for Reference GNSS Station Network in the Transport Sector
Authors: Akhmedov D , Moldabekov M , Yeryomin D , Zhaxygulova D , Kaliyeva R 
Published: November 2020

Abstract
Achieving high accuracy by GNSS (Global Navigation Satellite System) positioning is in demand in many industries, including transport, where ensuring the positioning of moving vehicles with an accuracy of 1-3 meters is an essential condition in the development of intelligent systems for monitoring and optimization of road traffic. In this case, the task should be solved in such a way as to be accessible to a wide range of users, and thus be simple and cheap. In this paper, in order to achieve accurate GNSS positioning of a moving car is considered the use of a smartphone, as the most popular navigation device of a typical user, raw data of which is processed by differential correction using the Automated Control System for Reference GNSS Station Network. Positions obtained by smartphone is compared with data obtained by the u-blox receiver. The experiment is conducted in an urban area typical for Kazakhstan. It is shown that using a smartphone as a navigation aid with a further differential correction from one reference station allows positioning with accuracies at least of 1.4 meters.
Design and Development of Automatic Generic Cabling System Based on .NET
Authors: Wei Ying 
Published: November 2020

Abstract
With the development of intelligent building, its infrastructure generic cabling technology was still in the manual stage. In this paper, we analyze the connection between generic cabling technology and CAD. Based on the framework of.NET, we carry on the secondary development of AutoCAD using visual programming language C# to develop the automatic generic cabling system. The system can meet standards of generic cabling project, and realize automatically system diagram design. The system can also generate automatically construction plan design, and complete material statistics, and project budget. It can not only ensure the generic cabling project strictly according to the standard construction, improve project quality and level, reduce the workload of the designer, but also greatly promote the development and application of generic cabling technology in intelligent building.
Research on Key Technologies of Intelligent Industrial Robot System for Bulk Material Transportation
Authors: Yu Jiming , Wu Zhongming 
Published: November 2020

Abstract
With the application of Intelligent Manufacturing in the mining industry, the demand for intelligent and unmanned delivery of Stacking material is more and more urgent. The particle size of iron mineral powder is very small, the surface shape is very irregular, and Acquisition effect affected by absorbing wave, diffuse reflection, signal interference and other factors. The intelligent Industrial robot system has a great challenge in the accurate selection of grab point, which is easy to cause the lower chute and upper rope climbing of grab, and cause the delivery business interruption. Because of the above characteristics of iron mineral powder, it is very difficult to develop an intelligent shipping system with precise collection, intelligent scheduling and automatic shipping technology. At present, there is no systematic, practical and intelligent industrial robot system. After three years of research, the project team has conquered the key technologies of the project, developed the key technologies such as the iron concentrate height acquisition radar, three-dimensional distribution algorithm, and developed the inteligent industrial robot shipping system, which can be applied to the full-automatic delivery of bulk materials in the stacking warehouse. Field test shows that the intelligent system have good effect.
An Algorithm for Extracting Entropy Features from EEG Signals Based on T-test and KPCA and Its Application on Driving Fatigue State Recognition
Authors: Zou Shuli , Huang Peifan , Shangguan Pengpeng , Lin Zhiqiang , Ye Beige , Qiu Taorong 
Published: November 2020

Abstract
In consideration of the nonlinear characteristics of electroencephalography (EEG) signals collected in the research on driving fatigue state recognition, the recognition accuracy and the time performance of the driving fatigue state recognition method based on EEG is still not ideal, we construct a driving fatigue state recognition model and corresponding recognition method by combining t-test with kernel principal component analysis based on EEG entropy features. By applying this method to 30-electrode EEG data, testing it with 7 kinds of classifiers and comparing the results with the results without t-test, we find that the proposed method not only improve time performance, but also has the ideal accuracy. Through selecting the best classifier, the recognition accuracy and time performance are improved.
Adaptive PID Control with Forgetting Factor for Three-phase Asynchronous Motor
Authors: Zhao Ying , Luo Cuihua 
Published: November 2020

Abstract
In order to solve these problems of large overshot and poor stability of the speed-control loop for a three-phase asynchronous motor, one adaptive PID controller is applied. The controller combines least square method with forgetting factor to estimate such PID control parameters, which can adjust PID controller’s parameters in real time even when some abrupt disturbance occurs. The simulation results show that the proposed adaptive PID controller has some advantages, such as fast response, good stability, certain adaptability and robustness, compared with traditional one, and can meet the basic requirements for the speed control of asynchronous motor.
Control Analysis of Resonance System Based on Active Disturbance Rejection Control
Authors: Zhang Yongli , Liu Yu , Yi Guorong 
Published: November 2020

Abstract
The mass-spring-damping resonance system is modeled by the mechanism-method and Lagrange method, and the stability of the system is analyzed. The extended state observer (ESO) algorithm is used to analyze and control the mass-spring-damping system based on active disturbance rejection control (ADRC) theory. At the same time, it is compared with the traditional PID algorithm. Random noise is added to the simulation to simulate the real environment and the results show that the ADRC control algorithm is more ideal for system control.
Vehicle Routing Problem with Time Windows Arising in Urban Delivery
Authors: Cao Can , Zhang Xiangfei , Guo Zhanyuan 
Published: November 2020

Abstract
Delivery is an important part of logistics operation. The way to plan the vehicle route with consideration of the demand, time window and total travel cost will directly affect the operation cost and the efficiency of delivery. In this paper, a mathematical model of the vehicle routing with time windows arising in urban delivery was formulated, and Clarke and Wright saving algorithm was used to solve it. A real case of a company was used to test its performance. The result shows that the Clarke and Wright saving algorithm is more effective than the actual operation of the company.
Flow Field Simulation Analysis of Train Siphon Toilet with Variable Pipe Diameter Based on the Investigation of Siphon Performance
Authors: Yang Songzhi , Zhang Yicheng , Hemida Hassan , Wang Yu , Ren Dejian 
Published: November 2020

Abstract
The performance of siphon toilets in trains with varied pipe profiles were investigated. The profiles of the siphon pipe are varied based on the diameter of the pipe along the pipe length. The flushing process was simulated by using CFD method. The starting time, the duration, the siphon mass flow rate, the negative pressure in the siphon pipe were recorded and selected as siphon performance indexes. The results showed that for the same type of siphon pipe, the siphon performance becomes worse with the increase of the maximum pipe diameter as the minimum pipe diameter is 45mm. The simulation confirms that the performance of the siphon toilet with the pipe diameter varying from large to small then to large is the best; the performance of the siphon with a pipe diameter varying from small to large then to small is the worst. The qualitative results may provide some suggestions for relevant industrial designs.
Research on Anti-collision Method of Trackless Equipment in Underground Mine
Authors: Yu Lewen , Zhan Kai , Zhang Da 
Published: November 2020

Abstract
In trackless transport of underground mines, accidents are much more frequent and serious due to the lack of effective safety warning measures. In this paper, a method of anti-collision for trackless equipment based on lidar was described. The background of the technology was recommended and the characteristics of roadway and data processing method were introduced. The method of processing radar data was proposed and a distance model was built, so the distance judgment method was provided. Finally, the method was applied on a Load-Haul-Dump (LHD) and it was proved that this method had obvious effectiveness and wide application for unmanned LHD in deep mining.
Simulation Analysis of Friction Braking Performance of Electric Hydraulic Block Brake
Authors: Wang Tao , Wang Quanxian , Zeng Xiangyue 
Published: November 2020

Abstract
This article is based on the definition of static friction force in Coulomb friction theory, through the finite element simulation of the friction process of the friction pair model between the electrohydraulic block brake lining and the brake disc, the friction stress of the friction pair under critical radial slip under different radial pressures is obtained. Saint-Venant’s principle and the definition of frictional stress are combined to calculate the corresponding maximum static friction and braking torque. Finally, the braking performance of the brake is affected by the coefficient of static friction, and the law that the coefficient of static friction is affected by environmental factors is further discussed. In this paper, the simulation evaluation of the braking performance of the electric hydraulic block brake through simulation experiments has a certain reference for the evaluation of the friction braking performance of the electric hydraulic block brake.