bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Quality Control System for Fighting Machine Operation Based on Beidou Navigation
Authors: Li Aiqin , Xu Jiyang , Ma Fei , Li Xiaoyu 
Published: March 2020

Abstract
In view of the serious waste and pollution of pesticide spraying, this study developed a sprayer flow control system based on the high-precision Beidou satellite navigation system software. The system uses a high-precisbion Beidou satellite navigation system R21 positioning receiver. Acquires the vehicle in real-time through the built-in GNSS board of the vehicle. The speed and position information are analyzed and processed by the vehicle intelligent control terminal, and sent to the flow control system corresponding control commands, so that the flow rate of the spray can be controlled according to the speed of the vehicle to realize the electrification control of the spray operation machine. Based on the field operation requirements of the fight drugs machine, an automatic navigation system path tracking control algorithm is designed to make the system complete the route of the line and curve. The real-time information collection of the work is carried out by using the APP carried by the industrial tablet, and the vehicle inherent parameter information is used to interface with the agricultural information platform through the Internet to realize the online monitoring of the spraying operation parameters. At the variable forward speed, tested in a farmland environment. The test results show that the designed automatic navigation path control system and spray flow control system have good working accuracy values and stable operation, which can meet the requirements of farmland environment spraying operation.
An Effective Kernel Online Learning Algorithm with Sparse Update for Electronic Devices Condition Prediction
Authors: Liu Xing , Zhang Wei , Zhao Jianyin , Huang Deyong , Guo Peng 
Published: March 2020

Abstract
In order to implement condition prediction for electronic devices, a new online learning algorithm for extreme learning machine with kernel (KELM) is proposed. For key nodes selection, a sparse dictionary with predefined size is constructed adaptively by online minimization of its cumulative coherence. Meanwhile, for model coefficients update, an improved decremental learning algorithm is presented by using elementary transformation of Gram matrix and block matrix inversion formula. The performance of proposed algorithm is compared with several well-known online sequential ELM algorithms. The simulation results show that the proposed algorithm has higher prediction accuracy and better stability. Thus it is suited to online condition monitoring of electronic devices.
Suppression Method of Vibration and Noise for Power Transformer Using Tuned Mass Damper
Authors: Cao Hao , Li Guoyong , Zhang Wanfu , Wu Xiaowen , Lu Ling , Hu Sheng 
Published: March 2020

Abstract
The vibration of operating power transformer may generate serious noise to affect the surrounding residents. In this paper, a 35kV oil-type transformer is chosen to study the suppression method of vibration and noise using tuned mass damper (TMD). Firstly, a finite element model of the transformer system with TMD is established. Comparisons of dynamic response and sound pressure level analysis for the transformer before and after installing TMD are carried out. Overall deformation distribution comparison shows that the vibration of each peak region on the surface of the original transformer box is suppressed obviously. After the vibration reduction using TMD, the maximum sound pressure level is reduced by more than 1 dB (A). The maximum noise reduction effect of the TMD is close to 1.6 dB (A), and the minimum noise reduction effect is more than 1 dB (A) at a distance of 1 m from the center of the transformer.
Development and Application of High-Efficiency Cleaning Device for Subway Based on Self-Generating Energy Storage System
Authors: Peng Yucheng , Wang Yanlong , Zhou Jie 
Published: March 2020

Abstract
In view of the current manual cleaning of the subway track, it requires more personnel, lower efficiency, and more capital needs. Therefore, a new method can be developed, which adopts a combination of a billboard and a cleaning device, so as to satisfy the advertising efficiency, the garbage on the subway track can be cleaned more conveniently, efficiently and environmentally. Among them, the subway station demonstrates that the method can be used by using design simulation experiments, and the rationality of the structure of the device is obtained.
Power-Grid Dispatching Method Considering Heat-Power Coupling Characteristics of CHP Units
Authors: Guan Sensen , Wang Kun , Zhijun E , Hu Qingbo , Wang Shan , Fang Jiuwen , Chen Rong , Lu Fei , Yang Bangyu , Liu Ming 
Published: March 2020

Abstract
The dispatching optimization of power grid is to obtain the greatest benefits on the basis of safe and stable operation of the power grid, which is of great significance for the energy-saving, reliability of the power grid. Therefore, a multi-objective model of power grid dispatching which considers the heat-power coupling characteristics of CHP units is developed in this study. The economic benefit and minimum wind power abandonment are taken as optimizing targets in the model. Meanwhile, the detail operation characteristics of condensing power plants and CHP units are considered in this model based on off-design models of power plant. Besides, the regional heat load and power load are scheduled together. Finally, the AHP-entropy method is used to obtain the weights of the two optimizing targets of economic benefit and wind power abandonment, and the multi-objective is converted into a single-objective.
Analytical model for solving ship maneuvering response under continuous linear steering
Authors: Zhang Weiling , Cai Feng , Yang Bo 
Published: March 2020

Abstract
In this paper, the analytical model of the nonlinear differential equations is solved by combining the characteristics of the first-order and second-order KT steering response equations. In order to make the model as close as possible to the actual situation, the steering time is taken into account in the modelling, and the problem of sudden change of steering speed in linear steering is solved, and the analytical model expression of the KT response equation under continuous linear steering is obtained. The analytical model simulation results, Runge-Kutta numerical simulation results and real ship Z-shaped test data are compared to verify the effectiveness of the analytical model.
Numerical investigation of the gyro effects on a 10 MW floating offshore wind turbine
Authors: Chi Fengdong , Li Yugang , Chen Jingjie 
Published: March 2020

Abstract
In this study, the gyro effects on a floating offshore wind turbine (FOWT) is investigated. For the DTU 10 MW wind turbine, the ITI Energy Barge platform is adopted. The ANSYS software has been used to study various mechanical properties related to the wind turbine, such as natural frequency, vibration mode as well as the critical speed of the wind turbine, based on which the speed in working condition is designed. The transient dynamic analysis is then carried out and the maximum displacements are found to occur at the place located at the top and bottom of the tower. A comparison between the maximum displacements in working condition and non-working condition has been performed. In addition, the gyro effects on the mechanical properties caused by the gyro torque have been analysed and the dangerous area has been discovered. Furthermore, the stress on the top and the bottom of the wind turbine is analysed and it appears to be one of the obvious results affected by gyro effects. Present study can provide valuable reference for the design of the FOWT.
Electromagnetic Interference of Partial Discharge in Ultra High Voltage Substation
Authors: Wei Xu , Yang Xiaoping , Xie Tianxi , Li Jiansheng , Wang Tonglei , Wang Shengquan 
Published: March 2020

Abstract
In order to block the electromagnetic interference source of partial discharge in UHV substation and improve the actual power generation efficiency, in this study, the experimental method of partial discharge in ultra high voltage (UHV) substation is first introduced. Secondly, the types of PD EMI are described in detail. Finally, the principle of blocking electromagnetic source is introduced and the blocking measures of each electromagnetic interference source are analyzed in detail. The results show that the actual equipment test of UHV substation is complex, and there are many factors affecting the test accuracy. Therefore, the field test of UHV substation is the most complex and precise test item at present. The time of noise interference of pulse signal is short and the distribution of signal is wide. This kind of interference is also repetitive, but the orientation of the display is relatively stable, and the waveform also has certain rules. Thyristors use relatively weak current to grasp relatively strong current, and the process is very short. At the same time, the period of application is very long and the stability is very strong. Recursive filters are used. The workload of calculation is greatly reduced, but there are many disadvantages. In practical UHV substation, the sources of PD are closely arranged, so it is suitable to use recursive filter. After using wavelet transform to disperse EMI sources, it can block the sources in different regions.
Study on Green Energy-saving Strategies of Existing Building Roofs in Xi’an City of China
Authors: Wei Shule , Liu Shan 
Published: March 2020

Abstract
Taking existing residential buildings in Xi’an as the research object, this paper puts forward energy-saving transformation strategies from flat roof to slope, evaporative cooling structure of roof water storage, green roof and roof ventilation structure, aiming at providing technical model and transformation experience for existing residential buildings in hot summer and cold winter areas.
Collaborative Optimal Operation of AC/DC Hybrid Microgrid with High Proportion of Renewable Energy
Authors: Wang Xiaoxiao , Wang Hao 
Published: March 2020

Abstract
Complexity of collaborative optimal dispatching and uncertainty of system are enhanced with the increase ratio of renewable energy in AC/DC hybrid microgrid. The prediction error of the output of renewable energy as a fuzzy variable is treated in this paper. Then a fuzzy chance constrained collaborative optimal model of AC/DC hybrid microgrid considering economy and flexibility is established. In view of the problems that both uncertain programming and mixed integer programming are contained in the model, where conventional algorithms have difficulty in solving it, the thought of fuzzy simulation into the neural network algorithm is introduced in this paper and the uncertainty of the source side by training the neuron to simulate the uncertainty is solved. Finally, the discrete binary particle swarm optimization to solve the integer programming is introduced. Based on the field data of a certain AC/DC hybrid microgrid demonstration project in Zhejiang Province, the effectiveness of the model and algorithm are verified.
Review of Optimal Dispatching of Combined Heat-Power System for Wind Power Accommodation
Authors: Cui Dai , Jiang Di , Jiang YuQing , Ge Wei Chun , Cong HaiYang , He ChaoJun , Li Feng 
Published: March 2020

Abstract
The contradiction between seasonal heating demand and large-scale wind power accommodation causes wind curtailment at nighttime during high heat load period. How to improve wind power accommodation has become a concern of the whole society. Aiming at this problem, the electrothermal characteristics of Combined Heat and Power (CHP) units are briefly reviewed, and then the relevant research results at home and abroad are summarized from the aspects of adding electrothermal coupling equipment and grid lean dispatching. The paper summarizes the principle and characteristics of adding electric boilers and heat storage devices to improve wind power accommodation, as well as the lean dispatching methods of the power grid for the CHP units. The practical application of decoupling thermoelectric coupling constraints at home and abroad is also expatiated. Finally, the next step work that needs carrying out in the power side and the grid scheduling side is pointed out.
Method of Fault Diagnosis based on Granular Reasoning and Directional Graphic of Fault Propagation
Authors: Dang Junxiao , Kang Qi , Ma Simin , Qian Liyang 
Published: March 2020

Abstract
The directional graphic of fault propagation is established based on the clock circuit of the broadcasting station and granular reasoning method and directional graphic of fault propagation are unified. The sample sets of the fault are obtained according to the circuit simulation and analysis, after that the sample sets of the fault decision is transformed into decision table which reflects the relation of faults and symptoms, then the decision table is transformed into the corresponding granular based, consequently fault source that most likely occurrence to fault is found by searching granular based and computing the most similarity.
Research on Improvement Path of China’s Smart Grid Security Control
Authors: Teng Chengxiu 
Published: March 2020

Abstract
At present, China’s smart grid construction has made great progress, and its safety control problems have gradually surfaced. Through literature review and investigation, this paper finds that the country’s smart grid still has information interconnection, inadequate and unreasonable allocation of security resources, imperfect security control system and many security vulnerabilities. It proposes to build a complete smart grid information management system and increase intelligence. The improvement of the safety resources of the power grid and the improvement of the safety management system of the smart grid require the government to complete the work with the smart grid operators.
Small Object Detection with Multiple Receptive Fields
Authors: Zhang Yongjun , Shen Tao 
Published: March 2020

Abstract
Small object detection has been a problem in deep learning convolutional neural network models. A multi-rate dilated convolution module is proposed to form a feature map to locate small objects. Benefiting from the fact that the dilated convolution does not add extra complexity while maintaining the characteristics of the high-resolution feature map, this paper replaces the traditional convolution network by setting the dilated convolution with the ratio of 1, 2, and 5, and fuses the different convolution rate convolutions. The feature map branch, extracting high-level features, using the FPN algorithm as the basic network framework, combining a variety of receptive field feature maps, enhancing the detection ability of the algorithm for small objects, and the convergence accuracy is greatly improved. Experiments show that the proposed method achieves 81.9% MAP in the PASCAL VOC2007 dataset, which exceeds the traditional object detection algorithm.
Analysis of Equivalent Pulling Mechanism of Tension Based on Similar Suspension Principle
Authors: Dai Hailin , Yi Wangmin , Meng Fanwei , Wang Wei 
Published: March 2020

Abstract
Aiming at the requirement of zero gravity unloading efficiency of space mechanism in ground test stage, the design of equivalent tension mechanism based on similar suspension principle is proposed. By designing the suspension element, the tension is applied to the finite structural points on the spatial mechanism and applied to the actual center of mass of the spatial mechanism, thus counteracting the influence of gravity. In this paper, the structure of suspension element with equivalent tension is introduced in detail. The key components are analyzed by finite element method. The results show that the structure design meets the requirements.
Structural design of wind turbine tower climbing robot
Authors: Huang Zengji 
Published: March 2020

Abstract
This paper combines the actual needs of the structure design of the climbing robot, uses the three-dimensional software to virtual design the mechanical structure, and performs finite element simulation on the key components to verify the reliability. On this basis, the components with higher quality are Topology optimization reduces weight without reducing stiffness, enabling lightweight design and improved overall performance. Through the structural design of the robot, the overall layout of the robot is functional. Important parts such as the body, power system, and mobile system are designed in detail, and the physical parts of the prototype are processed. Converting the roll cage design in the racing field into the body design of the robot to increase the rigidity of the body.
Transmission Line Loss Prediction by Cross Validation and Gradient Boosting Decision Tree
Authors: Yu Jicheng , Zhou Feng , Zhu Kai , Yue Changxi , Wang Jiangchu , Xie Congzhen 
Published: March 2020

Abstract
To solve the problem of the accuracy and generalization of the transmission line loss prediction, a new method for transmission line loss prediction based on cross-validation (CV) and gradient boosting decision tree (GBDT) is proposed. In this method, time granularity matching and statistical feature extraction are firstly carried out to improve the information content of the data. Then the data is divided into a training set and test set by CV method to train the GBDT model. Finally, the actual transmission line loss verification test is conducted. The result shows that for 500kV transmission lines with an average daily supply of 7990MWh, the average line loss error of this model is 35MWh, and the average line loss rate error is 0.093%, which verifies the effectiveness of the method in this paper.
Research on Fault Diagnosis of External Short Circuit of Lithium Battery for Electric Vehicle
Authors: Liu Changchun , Wu Tao , He Cheng 
Published: March 2020

Abstract
This study conducted an experimental study on the external short circuit (ESC) fault characteristics of lithium-ion batteries for electric vehicles. An experimental platform was established to simulate the electrical behavior of lithium batteries during ESC failure using a modified first-order RC model. The model parameters are reidentified by the dynamic neighborhood particle swarm optimization algorithm. An ESC fault diagnosis algorithm based on two-layer model is proposed. The first layer performs initial fault detection and the second layer performs accurate model-based diagnostics. The four new units are shorted to evaluate the proposed algorithm. The results show that the ESC fault can be diagnosed within 5 s, and the error between the model and the measured data is less than 0.36 V. The proposed algorithm can make a correct diagnosis.
Research summary of key technologies of smart grid based on active distribution network
Authors: Huo Yingzhe , Yu Hai , Zhang Wenjie , Yin Xiaohua , Wang Qun 
Published: March 2020

Abstract
Active distribution network is an important scheme to make the distribution network safer, more reliable and more economical in the environment of distributed power development. It is an important part of smart grid. Scholars at home and abroad have put forward many key technologies. This paper expounds the key technologies of active distribution network from four aspects of active distribution network planning access, active distribution network control, fault recovery and load control Research status, and then compared its advantages and disadvantages, finally introduced the application prospects.
The Evaluation of Power Grid Projects’ Investment Based on the Reform of Transmission and Distribution Price
Authors: Du Ying , Ma Tiannan , Wang Qing , Hu Lin , Wu Guangchuan 
Published: March 2020

Abstract
This paper designs the evaluation model of power grid investment benefit based on the characteristics of grid enterprises, so as to improve the investment efficiency of power grid projects under the reform of transmission and distribution price in China. Firstly, designed the evaluation index system of investment benefit, Then, the relevant importance of each index is determined by questionnaire survey method. Besides, the weight was calculated by AHP. Finally, the evaluation model of investment benefit is constructed.
Short-term Load Forecasting Model Based on IBFO-BILSTM
Authors: Zhou Zhengnan , Wu Guoqing , Zhang Xudong 
Published: March 2020

Abstract
Short-term power load forecasting has always been a very important position in power grid operation. Improving prediction accuracy has great significance for improving the power company’s dispatch efficiency and economic benefits. In view of the feed-forward neural network cannot learn the time series relationship between load data, a hybrid depth model based on improved bacterial foraging algorithm (IBFO) and long short-term memory (LSTM) network is proposed for short-term power load forecasting. Using historical load data and its associated temperature data and date information as input, the initial weights and bias are optimized by improved bacterial foraging algorithm, and the multi-layer bidirectional LSTM neural network is used to mine the hidden time series relationship between input data, and finally output prediction. The proposed prediction model was verified by using the historical load data of Nantong. The data shows that the proposed model has higher prediction accuracy than other models.
Mechanism and Optimized Design of Vehicle Quiescent Current
Authors: Li Qing , Li Chuang , Hu Mingxin , Ding Guohui 
Published: March 2020

Abstract
This paper analysed the quiescent current generation mechanism of vehicles and the four stages of quiescent current presentation during the vehicle rest process. Then the quiescent current is optimized from the perspective of ECU and vehicle electrical design. Finally, standardized recommendations for test rectification were proposed.
Research on Video-Based Human Action Behavior Recognition Algorithms
Authors: Si Haifei , Hu Xingliu , Wang Yizhi 
Published: March 2020

Abstract
Human action recognition is an important part of intelligent video processing, which has high research value and broad application prospects. This paper takes the video monitoring of the elderly living alone as an example to recognize human behavior, and chooses the video of indoor background taken by a single camera as the research object. The background subtraction method is used to extract moving objects from video, and the extracted moving objects are pretreated. Then, according to the overall outline of the object or the obvious features of a part of the object, the motion features are obtained to understand and identify the movement of the monitored object, such as walking and falling. Experiments show that the proposed algorithm has better processing effect for actual video.
The selection of ecological source of Changjiang County based on granularity inverse method and principal component analysis
Authors: Li Changqing , She Jiyun , Lu Yu , Wu Yi 
Published: March 2020

Abstract
This paper took Changjiang County as the study district. The selection of ecological source were analyzed by using GIS technology, granularity inverse method and principal component analysis. The result of the granularity inverse method and principal component analysis was that the optimal landscape composition structure of Changjiang County had a particle size of 600 m; there were 14 ecological sources aggregately, and 23 pieces of ecological landscape patches needed to increase newly. Besides, the distribution trend of ecological source was characterized by a large quantity but small scale in the central section and small quantity but large scale in the southeast and northwest, which was mainly influenced by human disturbance.