bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Research of Intelligent Operation and Maintenance System for Wisdom Verification Detection Pipeline
Authors: He Yuhan , Jing Zhen , Yang Yan , Sun Yanling , Zhai Xiaohui , Xing Yu , Xing Baoshan , Guo Liying , Gao Qun , Shi Chunyan , Zou Lu , Song Jiale
Published: April 2020

Since the pipeline inspection platform equipment bears the main work of the full performance test of the energy meter and the collection terminal, the quality requirements for the metering automation verification pipeline equipment are getting higher and higher, and the reliability also puts forward higher requirements. Design and develop a power meter and acquisition terminal fully compatible with the smart verification detection pipeline system, through the wireless data transmission and computer network technology to automatically detect the temperature rise in the automated pipeline equipment. The intelligent operation and maintenance system uses computer network technology and modern management ideas to combine organic sensors, technology, wireless data transmission technology, data processing technology, and monitoring of abnormal operation of automated pipeline equipment.
Computer-Assisted Bone Fractures Detection Based on Depth Feature
Authors: Yang Feng , Wei Guohui , Cao Hui , Xing Mengmeng , Liu Shuxuan , Liu Jing
Published: April 2020

Nowadays, computer aided diagnosis (CAD) system become popular because it improves the diagnostic efficiency of the disease compared to the early diagnosis of the various diseases for the doctors and the medical expert specialists. Similarly, bone fractures is a common problem due to pressure, accident and osteoporosis. Bone fractures detection using computer vision is getting more and more important in CAD system because it can help to reduce workload of the doctor by screening out the easy case. The purpose of this work was to detect whether fractures occurred in seven different parts of the human body in the MURA database. The process of a bone fractures detection is mainly divided into three steps, which includes preprocessing, feature extraction and classification. In preprocessing, the 40561 sizes of images in the MURA data set were reshaped to same size and the grayscale images were changed to the RGB images. The convolutional neural network (CNN) was then used to extract the depth features of the bone images. Finally, three classic classifiers were selected, such as support vector machine (SVM), extreme learning machine (ELM) and random forest (RF) to detect bone cracks or non-cracks. Then compare it with the Alexnet model and the classification results of the Wu Enda team. The result shows that the classification of SVM based depth features is the best and the accuracy can reach 78.63%. The experimental result indicates that the depth features of the extracted bone images provide a new feature representation method for the prediction of bone fracturess, which greatly improves the accuracy of clinical diagnosis of bone fracturess.
Study on Method for Chemical Reaction Activation Energy Acquiring of Dry Insulation Equipment Based on TGA
Authors: Zhang Xin , Zhang Xinjie , Ma Hao , Wang En , Wang Wei , Ma Xiaoguang , Dun Chao
Published: April 2020

Thermogravimetric analysis is an important method in chemical reaction kinetic analysis. This paper introduces thermogravimetric analysis into the field of insulation performance analysis of dry insulation equipment, and introduces the thermogravimetric analysis experimental methods of epoxy resin materials. On this basis, the calculation principle of the activation energy of the chemical reaction is analysed, and two calculation methods for the activation energy of dry insulation equipment are proposed.
Adsorb-Catalytic Removal of PH3 and H2S in Yellow Phosphorus Off-Gas by Metallic Modified Activated Carbon
Authors: Li Rui , Wang Botao , Yao Mei , Wang Fang , Liu Tiancheng , Liu Chenhui , Gao Jiyun , Ning Ping , Jia Lijuan
Published: April 2020

Activated carbon modified with Cu2+ and Co2+ was used to remove PH3 and H2S from yellow phosphorus off-gas. An orthogonal experiment was carried out to identify the superiority order of influencing factors and the optimal experimental parameters. For PH3, the superiority order was temperature > oxygen content > parch temperature > impregnant concentration (Cu2+) > flow rate > diameter, whereas, for H2S, it was reaction temperature > oxygen content > impregnant concentration > parch temperature > diameter > flow rate. Following were the optimal experimental parameters for both PH3 and H2S: reaction temperature, 95°C; impregnant concentration (Cu2+), 0.25 mol/L; diameter of metallic modified activated carbon (MMAC), 3.5 mm; oxygen content, 1%; parch temperature, 300°C; and flow rate, 0.4 L/min. Regeneration of MMAC was effective for PH3 but not compelling for H2S. The activation energy and reaction orders were calculated, and the transmission process was evaluated to assess the characteristics of the dynamics of the adsorb-catalytic reaction. The reaction orders were -0.8 and -0.76 for PH3 and H2S and the average activation energies were 1247.6 and 134.4 J/mol for PH3 and H2S, respectively. The adsorb-catalytic reaction was fast, and decreasing transmission resistance can play a key role in improving the performance of MMAC.
Steering Control of Dual Electric Drive Tracked Vehicle Based on Model Predictive Control
Authors: Zhang Jie , Ma Xiaojun , Yuan Dong , Zhang Peng
Published: April 2020

A model predictive control (MPC) algorithm is designed to solve problem in the steering control of dual electric drive tracked vehicle. Firstly, the driver manipulated model is constructed after analyzing tracked vehicle dynamics. Based on which, the predictive control of vehicle speed and yaw rate is achieved by establishing predictive model, rolling optimization, and correcting feedback. Finally, co-simulation model of vehicle multi-body dynamics and steering control is constructed to simulate the steering conditions of variable speed and variable radius. The simulation results show that the MPC algorithm can quickly and accurately track the target speed and yaw rate, and the output motor torque is smooth. Which can realize the stable steering of vehicles under various working conditions.
Research on de-noising operation to the vibration signals based on discrete wavelet transform with hard threshold
Authors: Mi Wenpeng , Xu Weichang , Jiang Cunqun , Zhu Guifang , Wang Hongguang , Liu Pengpeng , Kong Xiangtong
Published: April 2020

Dynamical properties of mechanical systems can be obtained with the vibration signals from the systems. However, for the influence of noises, it is difficult to accurately acquire the features. Therefore, de-noising operation is significant for vibration signal in the practical engineering. In order to resolve this problem, discrete wavelet transform (DWT) with hard threshold is used to remove noises from vibration signal. We provide the principle of DWT at first. And then, a sample signal is constructed with white noise is processed by the technique. As the result shown, the random noise can be effectively eliminated. This reflects that the de-noising method based on DWT the hard threshold is effective.
Simulation Evolution Method for system of systems confrontation
Authors: Chu Yang , Li Jun , Zhou Yufang
Published: April 2020

System of systems confrontation is the main form of modern warfare. In order to meet different modeling and simulation needs, a large number of evolution ideas of system of systems simulation have emerged. This paper gives two different definitions of evolution ways of system of systems simulation through induction and summary, and makes a comparative analysis from the perspective of evolution mechanism and application scope. Taking atypical parallel simulation system as an example, it gives different evolution ideas Design of simulation application framework under mechanism.
Wave height prediction of Beibu Gulf based on convolution neural network
Authors: Mo Xutao , Li Zili
Published: April 2020

The wave state plays a vital role in the planning of marine activities. Predicting the wave significant height can prepare for the abnormal sea state in advance, which is of crucial influence to the marine activities. Unlike other scholars in the field of ocean research, this paper starting with analyzing artificial neural network model. By using the convolution neural network to model the measured wave height historical data, and to predict the ocean wave situation in the next six hours based on the measured data of wave height in the Beibu Gulf sea area. Using MAE, RMSE, PCC and etc. error evaluation methods, analyse the influence of convolution neural network on wave height prediction results in different layers is discussed and analyzed under different historical data input conditions. Finally, the network model is trained with the measured data in November and December 2018, and the results are analysed and compared.
Analysis and Research on Visualization Display Model of Power Network Planning Based on Big Data Analysis
Authors: Ma Guozhen , Pang Ning , Hu Bo , Zhang Zeya
Published: April 2020

With the development of information technology, the information process of power companies is accelerating. Power big data is the product of this information, and its related technologies play an increasingly important role. According to the power big data and related technologies, the visual display technology of power grid planning is also gradually developed. The application of power big data in power grid planning management is analysed and analysed. At the same time, the opportunities and challenges faced by power big data in the development process are analysed. Research provides ideas.
Application and Research of Machine Learning Simulation Technology in Equipment Fault Monitoring under Smart Grid
Authors: Yang Qijiu
Published: April 2020

Smart grid is increasingly becoming the development trend of grid technology. Smart grid is an important part of smart grid. Power equipment is the core part of smart grid, and the normal or not of power equipment directly affects the safety and stability of the entire power system. Smart smart grid usually has relatively complete fault diagnosis and self-healing functions to improve the stability and reliability of the grid. The application and development of a practical fault monitoring and early warning system for power equipment is to carry out predictive maintenance of power equipment so that the equipment can operate more safely and reliably. Due to the time-varying nonlinearity, stochastic uncertainty and local observability of smart grid, it is difficult for traditional power system modeling and analysis methods to fully reflect the steady- state and transient characteristics of power system in the new form. In this paper, based on machine learning simulation technology, through the research of power equipment fault monitoring system in smart grid, provide early warning information and solutions for equipment management personnel maintenance.
Research on salt spray test of power facilities based on standardized laboratory construction
Authors: Qian Xiying , Jin Kunpeng , Lu Shenjie , Lv Longjin
Published: April 2020

With the continuous development of electric power systems, electric power companies have standardized the requirements for safety testing laboratories for salt spray test of electric power facilities in accordance with relevant national standards and specifications, and combined with the previous work experience of electric power companies, this paper analyses in detail the laboratory-based The characteristics and significance of standardized management of salt spray test of electric power facilities under standardized construction, and also elaborated the new requirements for laboratory construction. At the same time, it strengthened training, performed competence verification and comparison between laboratories, and strict In the aspects of good method confirmation, enhanced management, and enhanced standard dynamic management, relevant suggestions for strengthening the standardized management of safety testing laboratories in power facilities for salt spray testing were put forward. It is hoped that the test results of power facilities salt spray testing laboratories can be effectively improved. And accuracy to achieve sustainable development.
A Fault Analysis of 750kV Shunt Reactor and Repair Program
Authors: Bao Yanyan , Liu Kang , Yang Junting , Zhang Guangdong , Wen Dinjun , Wang Kun
Published: April 2020

Combined with an example of 750kV shunt reactor exception handling, the author used field test inspections and search methods to dismantle the plant and found that the cause of the reactor abnormality was an incident caused by impurities or foreign matter. Combining the historical operation data of the equipment, the analysis and comparison of the reactor’s routine inspections and test results are performed. Combined with the simulation calculation of the internal insulation margin of the reactor, the judgment methods and conclusions are given, and the troubleshooting method and flow of the reactor abnormality are proposed, and put forward specific measures to strengthen the state monitoring of the network operation reactor.
Research on GIS partial discharge light measuring method based on Fluorescent fiber sensing system
Authors: Yang Junting , Zhang Guangdong , Bao Yanyan , Zhang Hang , Liu Kang , Wen Dinjun
Published: April 2020

In order to accurately detect the partial discharge information inside GIS, this paper proposes a PD measurement method based on fluorescent fiber sensing system. Firstly, the typical physical model reflecting four typical insulation defects in GIS is perfected. The PD optical signal is obtained through the detection system, and the corresponding 3D map and its gray image are constructed. At the same time, for the simple fractal is not enough to accurately describe the characteristics of PD discharge mode, a multi-fractal spectrum algorithm for partial discharge gray image is proposed. Then, based on the extraction of each feature information in the multifractal spectrum, BP neural network based on improved conjugate gradient algorithm is selected as the classifier for feature recognition. The results show that the multifractal spectrum can effectively describe the degree of PD gray image inhomogeneity and its different levels of geometric structure, and can accurately identify the PD phenomenon caused by four typical insulation defects.
Research on quantitative method of GIS partial discharge
Authors: Yang Junting , Yang Peipei , Zhang Guangdong , Bao Yanyan , Zhang Hang , Ma Zhenqi , Wen Dinjun
Published: April 2020

Optical method is a commonly used method for detecting partial discharge in electrical equipment. How to use photometric quantitative detection is one of the most urgent problems to be solved. Based on the in-depth analysis of the physical meaning of the integral value of the PD optical signal, it is concluded that the linear integral value of the signal is linear with the apparent discharge. The experimental results show that the integral value of the PD photometric signal at different polarities and different distances is linear with the apparent discharge. The larger the gap distance between the needle and the plate electrode is, the larger the slope is. The linear relationship between the average primary integrated value of the PD photometric signal and the average apparent discharge is different. With the increase of the applied voltage, the PD discharge intensity and the pulse repetition rate increase, and the phase interval of the PD becomes wider. The actual air gap volume of the PD becomes larger, and the variation interval becomes wider, that is, the apparent discharge amount distribution interval becomes wider, and the maximum value and the minimum value of the distribution interval become larger. Therefore, it is possible to obtain the PD apparent discharge amount by using the photometric signal, and it is effective and feasible to quantitatively detect the internal PD of the GIS by optical method.
Cooling dehumidification characteristics of two cooling systems applied in natural light plant factory in the rainy summer
Authors: Zhang Zhonghua , Zhong Yuqi , Meng Xiangzhen , Shi Xiaocheng , Yang Gukun , An Wenting , Tian Qinyu , Shi Huixian
Published: April 2020

In summer, it is easy to cause the plant to die in the natural light plant factory due to high temperature and high humidity. It is studied for the cooling dehumidification characteristics among various ways of cooling and dehumidification - water Energy- saving groundwater source heat pump cooling air treatment unit (ATU), wet curtain fan, mechanical ventilation, etc. in the semi-enclosed natural light plant factory in typical plum rain weather. The results show that, during the rainy season, the external environment is relatively low temperature. On a typical day, the average temperature is 28.10°C from 9:15 to 17:00 in daytime in the natural light plant factory with only mechanical ventilation. The indoor temperature is 31.1°C, and the average relative humidity is 81.61%, which can meet the needs of suitable temperature and humidity for cultivated crops. Compared with the normal opening of ATU, only the A area can save the operating cost of 337.34 yuan per day. Between 0:00 and 6:40 in the morning and 20:40 to 24:00 in the evening, the average relative humidity of the natural light plant with both mechanical and natural ventilation is 87.03%. Only mechanical ventilation is opened, and the relative humidity is 95.44%. Therefore, natural ventilation should be strengthened from night to next morning.
Development of Control Terminal of Control System of Light Hydrocarbon Gas Generator Based on NB-IoT
Authors: Zhao Xu , Zhang Wenzhi , Tian Weiwen
Published: April 2020

To improve the instability of light hydrocarbon gas supply station, the need for long-term maintenance and guard of staff, and improve the intelligence and automation of gas supply station, a perception terminal of light hydrocarbon gas generation device control system based on NB-IoT is designed. The data of liquid level, temperature, gas supply, and pressure are collected by STC15W4K56S4 low-power single-chip microcomputer. Based on the platform of the Internet of things, the remote transmission of data is completed by the BC95 module and local monitoring center. The experiment shows that the terminal can effectively transmit the collected data, respond to the command of the monitoring center, and complete the two-way communication between the terminal and the monitoring center, which has a high engineering value.
Research on New Intelligent Building Electrical Energy Saving Technology Based on Internet of Things Technology
Authors: Wang Xinwei , Chen Xiaofei
Published: April 2020

In order to continuous the advancement of technology, the development of Internet of Things technology will greatly promote the intelligent, we make information and automation of buildings, which is of great significance for promoting intelligent buildings. The modern intelligent building electrical energy-saving design measures can not only realize the energy-saving design, the real purpose is to save energy and reduce emissions, promote energy-saving emission reduction can promote China’s sustainable development, implement scientific methods, and assist China’s economic development. When designing, we designers should consider various factors and rationally design electrical energy-saving measures.
Research on Method of Cross-Provincial Transmission Pricing and Benefit Estimating Based on Power Tracing
Authors: Gao Xiao
Published: April 2020

The fair and reasonable method of cross-provincial transmission pricing can give the price and economic signal for the each trader. The models of cross-provincial transmission pricing and evaluation are based on power tracing is proposed in this paper. In the cross-provincial transmission pricing model the load is allocated no transmission cost when the load bus is as the same with the originate bus of one branch. And the cross-provincial transmission benefit is evaluated accurately by consumers’ surplus through the relation between generation and load based up-stream tracing. And the power use of cross-provincial transmission grid for each trader is considered in this model.
A Coil Design Method for EV’s Wireless Power Transfer from the Perspective of Engineering Purpose and Application Environment
Authors: Zhong Ruying , Tan Linlin , Tang Zongyao , Huang Xueliang , Meng Tao
Published: April 2020

When electric vehicles are loaded with wireless charging coils, engineering targets such as efficiency and power have always been the most significant targets for designers. In the previous research work, researchers designed and optimized the above relevant targets from the aspects of coil structure and magnetic core. However, the majority of these design and optimization schemes adopt a single-size coil to verification work, and the size often don’t take the actual application environment into consideration, so it don’t have engineering guidance significance and practical application value. In order to solve the gap and cooperate better with the application in engineering, this paper carries out a complete coil design method from the perspective of engineering design purposes and application environment. Firstly, the coil design conditions are constrained from the aspects of electric vehicle loading environment and design purpose, then the circuit and coil structure are analysed and selected, all the losses that may exist in reality are calculated, and the calculation method of the maximum winding length and minimum mutual inductance requirement of the coil is introduced. Finally, the maximum winding length index of the coil winding corresponding to the design purpose and application environment is formed, and the minimum mutual inductance design requirement is formed too. The design method of this paper is complete, and it can form different design schemes for different engineering design purposes (such as different power and efficiency). It has strong guidance to practical engineering and has high practical application value.
Demand Analysis of Key Parameter Offsets for Operating Frequency Bands in Wireless Power Transmission System
Authors: Li Zishou , Zhong Ruying , Tan Linlin , Wang Songcen , Meng Tao
Published: April 2020

With the mass production and application of wireless charging system for electric vehicles (EV), and in the process of production and use of the device, it is inevitable that there will be offsets between the actual parameter and the theoretical parameter. This will lead to the deviation of the intrinsic frequency from the design value. Finally, the transmission performance decreases and the actual design requirements are not met. Therefore, based on SS resonance compensation topology and the key parameters in SAE standard, this paper analyzes the self-inductance allowable values at different power levels and frequency points. In addition, the range of allowable operating frequency bands under the inductance offset is derived, which plays a certain guiding role in the production of key devices and practical engineering applications.
A New Type of Loop Antenna with Plasma Core
Authors: Wang Chunsheng , Shang Dongxing , Zhang Hailong
Published: April 2020

A new type of loop antenna with core of fan-shaped plasma is designed. When the plasma frequency is about 4 times of the antenna frequency, the radiated power of loop antenna is enhanced greatly. Numerical analysis shows it is the resonance of electric field between plasma and dielectric of positive permittivity, which enhances the radiated power. Furthermore, the effects of parameters of antenna core on radiation characteristics are studied.
Analysis on Present Situation of Construction of Recycling Service Outlets for NEV Traction Battery
Authors: Wang Jingyi , Li Longhui , Chen Ping
Published: April 2020

In order to promote the NEV manufacturers and the echelon using enterprises to implement the responsibility of wasted traction battery recycling, to standardize the construction of the traction battery recycling service outlets, and to improve the construction level of the traction battery recycling system, this paper studies and interprets the functional requirements of the recycling service outlets in combination with the present construction situation of the recycling service outlets, analyzes the problems existing in the construction of the recycling service outlets from the aspects of site construction and standard operation, and puts forward some specific suggestions.
Research and Implementation of Transformer Label Detection Algorithm Based on Machine Vision
Authors: Li Chengjun , Wu Xinhao , Wu Youyu
Published: April 2020

In order to solve the problem of low efficiency and high false detection rate of transformer label detection in the process of factory production, an algorithm of transformer label detection based on machine vision is proposed in combination with OpenCV function library. In the pre-processing stage, the image noise is filtered and the vertical edge information is highlighted, then the label region is located by morphological processing and contour extraction, and the label image is screened by SVM classifier. Finally, the label character is divided into a single contour and recognized by artificial neural network. The experimental results show that the accuracy of the algorithm is 94.0%, and the average time is 0.334s, which meets the requirements of the factory production line.
Research on PTC Electric Heater Detection Bench
Authors: Wu Youyu , Yao Pengpeng , Ge Hua
Published: April 2020

PTC electric heating is widely used in the air conditioning system of electric vehicles. This paper studied the PTC electric heater detection bench. First, introduced the research background and three keys of the detection bench control system: PWM board, serial port protocol, design of database. Then, elaborated the three key points respectively, including board structure, analysis of serial port protocol and design ideas of database. Finally, the detection bench was set up and tested repeatedly. The results of experiment shows that the bench achieved expected goals.
Research on Anomaly Detection Method for Satellite Power Supply Based on Bayesian Model
Authors: Li Hui , He Jing , Cheng Fuqiang
Published: April 2020

Satellite power system is an important system of satellites and it has a significant impact on safe and reliable operations of satellites. Researches on anomaly detection method of satellite power systems can improve the reliability of normal satellite operations. Fixed top and bottom limitations for telemetry parameters are often used in engineering to detect anomalies of telemetry parameters, but the detection thresholds do not change with time and can neither reflect the dynamic tendency of telemetry parameters nor anomalies that occur during dynamic changes of telemetry parameters. In order to solve this problem, this paper puts forward a dynamic detection method for finding anomalous satellite power supply telemetry parameters by comparing predicted values and real-time telemetry data by using dynamic characteristics of satellite power supply telemetry parameters and the Bayesian Model. This method can be used to verify telemetry data of voltage parameters of the storage battery of satellite actually in orbit. The results show that this method can effectively detect anomalies of satellite power supply.
Study on transmission characteristics of two-dimensional defective plasma photonic crystals
Authors: Li Minghui
Published: April 2020

Several defective plasma photonic crystals were designed based on crystal edge dislocations, and their transmission characteristics were studied using CST software. The transmission characteristics of PPC with different defects in TM mode are mainly discussed. Compare defective PPCs to non-defective PPCs and other defective PPCs. Defective plasma photonic crystals with the largest changes in PPC electromagnetic characteristics were obtained. This type of defective photonic crystals can create a band gap in a certain frequency band and control its movement through defect parameters.
Analysis of Microwave Transmission Characteristics of Toroidal Plasma Array Photonic Crystal
Authors: Xu Can
Published: April 2020

In this paper, a new type of ring-shaped plasma photonic crystal structure is proposed. The influence of the structure parameters on the photonic band gap is calculated by simulation. At the same time, the application possibility of the structure change transmission mechanism is discussed. The use of photonic crystals to achieve tunable forbidden bands is the focus of current research in the field of electromagnetics, and plasmas have been widely used in photonic crystal structures in recent years because of their special electromagnetic properties, density changes with frequency. In addition to studying the band gap regulation of photonic crystals by plasma frequency, it is also an important direction to explore the effects of different plasma photonic crystal shapes and periodic structure parameters on the mechanism of microwave transmission.
A temperature predictive control method using BP neural network
Authors: Qian Kuan
Published: April 2020

In the spray deposition system, there are problems such as inconvenient control methods and low adjustment accuracy for the substrate temperature. Based on the analysis of model, a predictive control method of BP neural network is proposed; and the established control model is tested in real time using STM32. The analysis of the results shows that the method is feasible and effective.
The Research on Optimal Location and Sizing of Distributed Generation Considering Voltage Stability Index and Line Loss Reduction Rate
Authors: Li Zhihui , Zou Yanli , Gao Zheng
Published: April 2020

The continuous growth of power demand poses new challenge to the efficiency of power system. Therefore, distributed generation (DG) is widely concerned because it can provide clean, reliable and economic power. However, the location and sizing of DG connected to the grid shall be properly selected. In this paper, the voltage stability index and the line loss reduction rate are considered synthetically, and the two indexes are transformed into a single index (VSLR) to determine the optimal location of DG. According to this index, the node with high sensitivity and high average power loss reduction rate are selected as the optimum location of DG connected to the power grid, and the optimal access capacity of DG is determined by the algorithm proposed in this paper. The simulation experiments of IEEE30-bus are carried out with MATLAB\ Matpower toolbox, and the results are compared with the existing research results. The results show that the method of studying the optimal location and sizing of DG in this paper emerges better performance.
Vehicle Air Conditioner Temperature Regulation-based Orderly Charging Strategy for Electric Vehicles
Authors: Piao Changhao , Liu Zhiqian , Zhao Chenxu , Song Wei , Long Hongyu
Published: April 2020

Due to high power load peaks and long durations in extreme weather conditions, as well as large-scale unscheduled electric vehicles charging, it may cause “peak plus peak” loading in local areas of the power grid, moreover, lead to transformer substations overload operation in local areas, which is not good for distribution safe and stable operation of the power grid. Considering the driver’s willingness, this study proposes an orderly charging strategy based on the temperature control of electric vehicle on-board air conditioner. The proposed strategy first constructs the temperature control model for electric vehicle cabins with considering the temperature of entire electric vehicle and the special characteristics of urban roads. Then, multi-objective function is formed with minimum user charging cost and variance of grid load fluctuations. Finally, electric vehicles orderly charging period is optimized by combining with electric vehicle travel chains, charge constraints, time-of-use electricity prices, and substation capacity constraints. The results show that temperature-controlled dispatching can effectively reduce the electric vehicles disorderly charging load. It can serve the power grid “cut peaks and fill valleys” and smooth the overall grid load curve using an improved Lagrange relaxation algorithm to optimize electric vehicles charging period.
Analysis and application of GIS vibration principle in power system
Authors: Qu Bin , Zhang Li , Fang Qiong , Chen Rong , Han Bin , Wang Xiaopeng , Wang YanHua
Published: April 2020

Firstly, the basic principle and characteristics of GIS vibration are analyzed and studied. It is pointed out that electromagnetic force and magnetostriction are two basic forms of GIS vibration, and both of them take 100Hz as the characteristic frequency. Then through the experiment, it is found that the frequency doubling characteristics of 200Hz and 300Hz can be excited by the loose mechanical fault. These conclusions provide an important basis for the field vibration test of GIS. Finally, a successful case of vibration test and analysis is described in detail, and the basic methods of measuring point arrangement and spectrum analysis are introduced.
Research on Desensitization Algorithm of Power Consumption Data Based on Anonymity and Differential Privacy Technology
Authors: Xu Bin , Liang Xiaobing , Zhai Feng
Published: April 2020

With the development of information technology, the problem of privacy disclosure has become increasingly prominent. State Grid Corporation has a large number of sensitive data such as power marketing data, power customer data, personal electricity information, which has disclosure dangers during the production, transmission, storage, processing and sharing stage. This paper mainly studies the desensitization algorithm model of power consumption data based on anonymity and differential privacy technology, builds a general algorithm model and then realizes data desensitization according to each application scenario. The evaluation and analysis results show that the scheme can effectively protect the massive power marketing data, power customer data and personal power information from invasion and disclosure.
A method for building software credibility metric system based on credible evidence
Authors: Xu Lixing , Liu Zhi , Gong Bin , Deng Yang
Published: April 2020

In order to comprehensively measuring software credibility, a method for establishing credibility metric system is proposed in this paper. The method first determine the structure of the metric system, analysis the relationship between the established credibility evidence structure and the metric system structure. On the basis of correlation analyses result, a reasonable metric system construction method is established.
Research progress on the medium frequency expansion method based on statistics energy
Authors: Su Jintao , Zheng Ling , Wang Bangdong
Published: April 2020

The SEA medium frequency extension methods are described. Then, medium frequency extension methods (FE-SEA (finite element-statistical energy analysis), CI-FE/SEA (CHEBYSHEV interval finite-element/statistical energy analysis), ES-FE-SEA (Edge smoothing -finite element- statistical energy analysis)) are compared. In FE-SEA method, neutron structure assembly and modeling method, interval parameter uncertainty and hybrid interval parameter analysis, interval variables and the hybrid interval variable response method are emphatically expounded. And on this basis, the existing methods are compared and analyzed. Based on the differences among the CHEBYSHEV expansion CI-FE/SEA method, the edge smooth domain ES-FE-SEA method and the Taylor series expansion FE-SEA method in solving parameter interval range and solution precision, the hybrid and wide range interval algorithm combined existing methods is expected to develop.
Influence of meshing on thermal effect simulation of laser irradiation
Authors: Qian Qiudong , Wang Qingtao , Wang Chongxu
Published: April 2020

When using the finite element software ANSYS to numerically simulate the thermal effect of laser irradiation, the calculation results will show some differences with the different ways of meshing. The thermal effect of finite element model under different meshing modes when loaded in the form of heat flux is studied, which is based on the process of laser irradiation of metal circular plates. The effects of element size ratio and mesh density on the simulation result are analysed. By comparing the theoretical analytical solutions with the calculation results under different element size ratio conditions, the overall scheme of meshing is determined first, and then the influence of mesh density is further explored. The calculation results show that when the element size ratio is 1 and the overall element size is 0.25mm, the finite element simulation solution gets high precision, which is consistent with the actual.
Research on Dedicated Insertion Bar for Field Calibration of Energy Meter
Authors: Tang Shengfei , Yin Wei , Zhu Weijie , Gao Xinxiang , Han Dongjun , Zhou Qiang
Published: April 2020

The on-site verification of electric energy meters has become an indispensable part of power system equipment maintenance. Recently, under the call of the State Grid Corporation of China to further optimize the business environment, in order to reduce the time of power outages for customers, the “non-interruption meter replacement” business is also actively promoted. A special wiring board is installed in the single-phase energy measurement box to ensure replacement. The meter does not lose power, but this measure has greatly affected the on-site verification of the energy meter. This article is based on the new environment of “uninterrupted power meter replacement”, in-depth demonstration of the necessity, feasibility, and ease of development of a dedicated plug-in meter for the on-site verification of electric energy meters. Based on the premise of modularization, a special plug-in strip for the on-site verification of electric energy meters has been developed to ensure that the on-site verification of the electric energy meters is not affected.
Design of micro intelligent current sensor
Authors: Xu Aidong , Wang Zhiming , Li Peng , Li Licheng
Published: April 2020

Smart grid and transparent power grid require extensive collection of basic information of power grid, which puts forward higher requirements for intelligent measuring technique. In this paper, the micro intelligent current sensor is developed, including the design of the whole structure of the sensor, signal processing circuit, digital processing circuit, energy acquisition, wireless communication and other functional modules, and the IP and insulation protection design is completed. Finally, the long-term trial application in the field of low-voltage power distribution is carried out. The results show that the current sensor can work stably and reliably for a long time. It has the advantages of miniaturization, high integration, convenient installation and remote management. It can collect the real-time operation data of the distribution power grid, and provide sufficient information support for the construction of the transparent power grid.
Analysis of the acceptance ability of distribution network to distributed PV
Authors: Wang Tao , He Chunguang , An Jiakun , Sun Pengfei , Tan Xiaolin , Qi Xiaoguang , Zhao Haidong
Published: April 2020

In this paper, the impact of distributed photovoltaic (PV) access on the power quality and fault cur-rent of distribution network is studied. First of all, the constant power output of photovoltaic power model is adopted and the influence of the access of distributed photovoltaic on distribution net-work voltage deviation and voltage harmonic are analyzed; secondly, the change of fault current is analyzed considering fault at the upstream, downstream and adjacent feeder of the distributed PV access location respectively; finally, practical example is calculated based on above theoretical analysis, and the maximum penetration of PV is calculated in comprehensive consideration of power quality and existing protection setting value.
Rapid Configuration Method for Inspection Object of Substation Inspection Robot Based on Hierarchical Map
Authors: Dong Yuanshuai , Zhang Qingwei , Yu Hao , Wang Li , Dai Ying
Published: April 2020

This paper mainly focuses on the problem of time-consuming and labor-intensive configuration of existing inspection objects. A rapid configuration method for inspection objects of substation inspection robots based on hierarchical maps is proposed. The method hierarchically characterizes the operating environment of the substation inspection robot, and establishes a hierarchical map including the distribution of obstacles in the substation, the distribution of the passable roads, and the semantics of the primary equipment, so as to realize the setting of the inspection points of the inspection objects on the map. The proposed method has been put into application.
An Intelligent Fault Diagnosis Scheme Based On PCA-BP Neural Network for the Marine Diesel Engine
Authors: Wang Sibo , Wang Jin , Ding Xuewen
Published: April 2020

Using AVL-BOOST to simulate the thermal fault of diesel engine, the principal component analysis method is used to analyze the thermal fault of diesel engine, and the three principal components are selected that can reflect the original variable 99.589% information as the input of BP neural network. The failure mode of the diesel engine is used as an output to construct a three-layer neural network prediction model. The results show that the PCA-BP neural network model can well diagnose the failure mode of diesel engines.
Torque Ripple Suppression of Permanent Magnet Synchronous Motor Based On Robust Current Injection
Authors: Liang Qiongwen , Wei Fan , Li Zongyang , Deng Yongting , Wang Yong
Published: April 2020

In order to improve the performance of permanent magnet synchronous motor (PMSM) servo system and suppress the influence of torque ripple on the control system, a robust current injection control method combining active disturbance rejection controller (ADRC) and current injection is proposed. We designed a current injection module to suppress the torque ripple of the motor and proposed an ADRC to improve the anti-disturbance performance of the system, which ensures the strong robustness and rapidity of the system. The simulation results show that compared with the conventional PI control and PI superimposed current injection, the proposed method can more effectively suppress the torque ripple, while improving the robustness and dynamic response of the system.
Intelligent Diagnosis of Rolling Bearing Fault Based on QFMAM
Authors: Lv Chun , Zhang Peilin , Li Bing , Wu Dinghai , Zhang Yunqiang
Published: April 2020

In order to solve the problem that the accuracy is not high when the traditional fuzzy morphological associative memories network (FMAM) is used to classify samples, based on quantum superposition and collapse, the quantum fuzzy morphological associative memories network (QFMAM) is proposed. In QFMAM, the structural element is constructed by the qubit system and the qubit probability represents corresponding membership degree to obtain adaptive structural elements. The samples are preprocessed first and then classified to ensure high classification accuracy. QFMAM, FMAM, support vector machine (SVM) and naive Bayes classifier (NBC) are used to classify simulation data and experimental signals of rolling bearings respectively. Comparing the performance of the four classifiers, it is obvious that the training time of QFMAM is far less than SVM and NBC, and the classification accuracy of the test samples by QFMAM is higher than that by the other three classifiers. QFMAM is very suitable for intelligent diagnosis of rolling bearing fault.
Optimal Energy Dispatch of the Energy Hubs Considering Off-design Characteristics of Generation Units
Authors: Deng Shan , Zhang Yongwang , Ou Zhengguo , Huang Bowei , Liu Haibin , Peng Qiang , Shu Ye
Published: April 2020

This paper proposes the off-design mathematical model of generation units for the optimal energy dispatch of the energy hubs (EHs). EHs are usually operated under off-design condition as the widely fluctuating energy demands of residence. In order to investigate the impacts of the off-design characteristics on the operation strategy of EHs, we test the off-design model in the integrated energy system with three EHs. The simulation result shows that ignoring the off-design characteristics of EHs may lead to the inaccurate result of the optimal energy dispatch of EHs.
Space Point Target Ranging System Based on Laser Beam Triangulation
Authors: Sun Boyang , Liu Gang , Xu Zhao , Lv Shengwei , Yao Shuming
Published: April 2020

With the rapid development of ranging technology, people’s requirements for ranging technology are more and more high. In some special occasions, such as live, high temperature, explosive and other inconvenient scenes, the importance of non-contact ranging technology is highlighted. As a non-contact measurement technology, laser ranging technology has faster measurement speed, higher measurement accuracy, longer measurement distance and stronger anti-interference ability compared with other measurement methods. However, at present, the measurement accuracy of laser ranging technology in China is not very high, and the design is relatively complex. Aiming at the above problems, this paper designs a spatial point target ranging system based on laser beam triangulation. The system uses the combination of laser ranging module and angle sensor module to measure the distance, uses the laser axis angle algorithm based on triangle method to calculate the distance, and uses the pyboard development platform to design the simultaneous acceptance and processing of multiple serial port data, and finally displays the measured data through the display. The experimental results show that the system can measure the distance between two points in space with relative error less than 1%, and it has the functions of circle and quadrilateral perimeter measurement, continuous measurement distance and data storage, which can meet the ranging requirements in various fields of engineering.
Research on Fault Diagnosis of Analog Circuit Based on Volterra Theory and Higher-Order Spectrum Analysis
Authors: Wang Kun , Guan Yuan , Li Dameng , Li Xiuquan , Guan Jinfeng
Published: April 2020

To diagnose fault of nonlinear components in analog circuits, a method of fault diagnosis based on Volterra series theory, high-order spectrum and kernel assurance criterion (KAC) analysis was proposed. Firstly, input and output signals of the analog circuit were used to identify a Volterrra model. Secondly, the kernel function was solved by the improved multi-pulse excitation method. The high-order spectrum and its slice method were used to qualitatively characterize the kernel function. Finally, the concept of KAC indicator was introduced to quantitatively compare the characteristics of soft faults in the analog circuit, and the fault degree information was extracted and diagnosed. Taking the Sallen-key filter circuit as the research object, the simulation of the method shows that the high-order spectrum and KAC index can be used to quantify the Volterra system with different fault levels, which can effectively distinguish analog circuit with different soft faults, and have certain practical significance.