bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Research on Scheduling Algorithms in Uplink of LTE System
Authors: Yang Chuhua , He Jun 
Published: April 2020

Abstract
Downlink scheduling of LTE packet scheduling has been widely studied, while uplink scheduling is rarely studied. Aiming at the problem that uplink scheduling can not guarantee the transmission of real-time traffic packets within the delay period, a new uplink scheduling algorithm is proposed, we establish the target integer linear programming model by the delay constraints of real-time traffic. And aiming at the problem that the bandwidth of low priority traffic is insufficient and the overall QoS is affected when multi-class traffic is processed, a new scheduling algorithm for multi-class traffic is proposed, which includes multi-class traffic scheduling algorithm for eNodeB and priority adjustment algorithm for UE. Through our algorithm, emergency UE is always scheduled first, the algorithm can also maximize MAC throughput and satisfy the minimum QoS constraints. It can also improve the problem that the bandwidth of low priority traffic is insufficient. The experimental results show that the proposed algorithm can significantly improve LTE uplink performance.
SIFT Feature Image Stitching Based on Improved Cuckoo Algorithm
Authors: Li Jie , Liu Dujin 
Published: April 2020

Abstract
Traditional image stitching method based on SIFT algorithm that the stitching time is long and the efficiency is low, and the stitching effect is not ideal. In this paper, the location of the parasitic nest in the cuckoo algorithm is mutated, and an evolutionary reduction function is proposed for the step factor and the probability of discovery. On the basis of this, an improved cuckoo algorithm is proposed, and the edge points of the image are solved by this algorithm, and the comparison between the edge points of the image and the feature points in the SIFT algorithm is made. The results show that the time of image stitching is obviously reduced and the speed and quality of the splicing are improved obviously, and it can fully meet the needs of practical application.
Research on Safety Risk Management and Control of Live Work in Distribution Networks
Authors: Gu Jianwei , Zhang Peng 
Published: April 2020

Abstract
To ensure the power quality and satisfaction of power users, at the same time to reduce power outage losses for power supply companies, live operations are increasingly used in operation and maintenance of the distribution networks, which poses a great challenge to operator safety. This paper systematically studies the safety management and control of live working in the distribution network, analyzes the safety risks in the live working process, proposes corresponding safety protection measures, and calculates the rank member of the index based on the subjective and objective weights, introduces the D-S evidence theory fusion principle to fuse the hierarchical membership of the indicators, and gets security risk assessment results based on the principle of maximum membership.
Research on Energy and Agricultural Alternative Energy Based on Crop Biomass Fuel Power Generation
Authors: Li Zhiyuan , Fu Chaosong , Lv Xing 
Published: April 2020

Abstract
The development and utilization of biomass energy based on crop biomass fuel power generation is of great significance for promoting China’s ecological civilization construction, energy revolution and low-carbon economic development, and responding to the implementation of major national strategies such as global climate change. Based on the analysis of the status and trends of China’s biomass energy development, this paper systematically analyzes the challenges China faces in developing biomass energy, and discusses the strategies and key technical directions for the future development of biomass energy. The research results can be Chinese students. The rapid development of material energy technology provides theoretical support.
Optimal Decision-making of Multi-market Trading of Power Sales Companies Based on Renewable Portfolio Standard on Electricity-Consumption Side
Authors: Mu Yicheng , Yao Hanbing , Du Zhen’an , Hu Yuchuan 
Published: April 2020

Abstract
In the electricity market where the renewable energy quota system is implemented on the electricity selling side, the electricity selling company can complete the quota of consumption and realize profit through electricity trading, consumption trading, green certificate trading and other forms. Based on the all day renewable energy generation curve trading mode, this paper puts forward the corresponding trading rules, which can effectively promote the active consumption of renewable energy in the power selling side. This paper comprehensively compares the trading income of electricity selling companies in electricity market, green certificate market and transferable load market. Aiming at the maximum profit, it studies the operating strategy of electricity selling companies, which can provide reference for multi market trading decision-making of electricity selling companies.
Research on Fault Detection Method of Wind Turbine Generator Based on SCADA Data
Authors: Wang Xin , Guo Pengfei , Liu Weijiang , Li Chao 
Published: April 2020

Abstract
In this paper, a data driven fault detection model of the generator based on improved nonlinear state estimation (INSET) method was established and the residuals of all the relevant parameters were predicted synchronously. According to the residual distribution characteristics the alarm rules were designed. In case studies, the fault was detected timely and exactly for avoiding serious accident. In addition, compared with other conventional algorithms, the results showed higher prediction accuracy and sensitivity and indicated the feasibility of the method.
Research on Lighting and Energy Consumption in Large Space of Railway Station in Hot-Summer and Cold-Winter Zone in China
Authors: Cheng Jiayang , Zhang Hui , Wang Li , Tang Meng 
Published: April 2020

Abstract
Based on surveys and tests of railway stations in hot summer and cold winter zone in China, analyzed the status quo of railway station buildings. A performance analysis model of the Zhengzhou East Railway Station waiting hall was established to analyse the effects of scattered skylights and different aspect ratios on the lighting environment and energy consumption characteristics, provided reference for the design of Railway Stations in hot summer and cold winter zone.
An Improved Content Delivery Technology Based on Genetic Algorithm in Cloud Storage
Authors: Zhao Pu , Shang Jingtao , li Qian , Ma Mingyuan , Sun Xin 
Published: April 2020

Abstract
Compared with the traditional content delivery network (CDN), content delivery based on cloud storage has the advantage of reducing storage costs while providing superior data security over common storage solutions. There has been a lot of research on content delivery technology, but existing research on content delivery technology is rarely used in cloud storage based CDN. In this paper, we analyze the charging and content delivery mechanism of cloud storage, then propose a reasonable network topology and cost model. Based on the analysis of existing heuristic algorithms such as user greedy and server greedy, an improved content delivery technology based on genetic algorithm in cloud storage is proposed, which effectively reduces the content delivery cost.
Research and Implementation of Cross-correlation Symbol Synchronization Algorithm for Long Training Sequence Based on OFDM System
Authors: Wang Guofu , Guoyong Li , Zhang Faquan , Ye Jincai , Guojia Xu 
Published: April 2020

Abstract
Through the analysis of the classic protocol IEEE 802.11a in OFDM system. An OFDM symbol synchronization algorithm based on Long Training Sequence (LTS) is studied. The symbol synchronization estimation using the LTS sequence symbol cross-correlation method can improve the two parameters of the correlation delay D and the synchronization point decision threshold. It reduces the interference of noise on the decision threshold under the Gaussian White Noise (AGWN) channel and the difficulty of FPGA implementation; improves the accuracy of symbol synchronization and the probability of detecting symbol synchronization under a low signal-to-noise ratio. Simulation experiments and FPGA hardware implementation show that compared with conventional algorithms, the system performance is improved.
Research progress on human feel test method of Substation low frequency noise
Authors: Chen Wei , Hu Sheng , Wen Wei , Wu Xiaowen , Cao Hao , Lu Ling , Peng Jiwen 
Published: April 2020

Abstract
Low frequency noise has the characteristics of slow attenuation, strong penetration and long propagation distance. Compared with other types of environmental noise with the same equivalent sound level, the subjective annoyance of low frequency noise in substation is higher, which easily leads to the problem of public complaints. In order to quantify people’s subjective and objective feelings of noise, researchers established the relationship between subjective perception and objective parameters through human perception test. In this paper, the development history of low frequency noise human perception test method and the present situation are investigated, and a feasible human perception test method suitable for substation low frequency noise is put forward.
Research Progress of evaluation method and control limit for Substation low frequency noise
Authors: Hu Sheng , Wen Wei , Wu Xiaowen , Chen Wei , Lu Ling , Peng Jiwen 
Published: April 2020

Abstract
At present, the low frequency noise control limit standards are only suitable for indoor structural noise control, and it is urgent to establish standards or specifications for substation low frequency noise evaluation and limit value. According to the theory of spectrum gauge weight, the equivalent continuous A sound level decays the low frequency part of noise greatly, only from the aspect of loudness, it only considers the feeling of human hearing to noise, and fails to fully consider the subjective feeling of people’s annoyance to low frequency noise. The method of low frequency noise weight correction needs to be further studied. In this paper, the evaluation method of low frequency noise and the control limit standard are fully investigated, which can be used as a reference for the formulation of low frequency noise limit standard in our country.
The Construction of Air Energy Hot Water System in Colleges and Universities Students’ Dormitories
Authors: Huang Kun , Wang Bing , Zeng Qing , Wang Lihua , Guo Xiaoying 
Published: April 2020

Abstract
Hot water entering students’ dormitories is the development direction of school hot water system, and air energy hot water system is one of the main forms of heat supply in colleges and universities hot water system. This paper first describes the composition of air energy hot water system and BOT construction mode, then analyses the main equipment selection and operation mode of the system, and finally shows the construction effect diagram of the system. The results show that it is necessary and feasible to construct the air energy hot water system in colleges and universities students’ dormitories, which is worth popularizing.
Design of Solar Energy Automatic Tracking System Based on STC89C52
Authors: Huang Kun 
Published: April 2020

Abstract
This paper designs a solar energy automatic tracking system based on STC89C52. The photoelectric sensor collects the sunlight signal. After A/D conversion, the collected signal is sent to STC89C52. After data comparison, MCU sends out control signals. The step motor is used to control the level and pitch angle of the solar panel, so that it always faces the direction of sunlight, and realizes the sunlight tracking. The hardware design includes the minimum system of STC89C52 MCU, sunlight signal acquisition circuit, A/D conversion circuit, key circuit, motor drive circuit, etc. The software is written in C language, including main program, data acquisition subroutine, key reading subroutine, data comparison subroutine, etc. Through physical production and operation debugging, the design function is normal.
Design and Implementation of Portable Petrochemical Equipment Vibration Monitor Based on Multi-Layer Architecture
Authors: Zhao Weidong , Wang Shuqiang , Xue Qingjun 
Published: April 2020

Abstract
Current vibration monitors for petrochemical equipment show several problems, such as high cost, inconvenient for use, and so on. To solve these problems, this paper designed a vibration data collector and a data processing App system based on multi-layer architecture. The data communication is realized by Bluetooth. The collector collects the acceleration, the speed and displacement data of the equipment, and the data processing functions such as data storage, analysis, viewing, and uploading are realized by the mobile phone App system. This method not only can simplify the design of the collector but also can enrich the functions of the vibration monitor. Practices show that this vibration monitor has short response time for vibration measurement, works stably which can meet the actual demand for vibration measurement of petrochemical equipment.
Development and Design of Self-Adaptive Variable Diameter Robot for In-Pipe Inspection
Authors: Ling Zhangwei , Chen Yonggui , Tang Jie , Zheng Mulin 
Published: April 2020

Abstract
Pipeline defects such as aging, corrosion and cracks may result in the structural failure of industry pipelines, causing environmental pollution, energy waste and even catastrophic accidents of explosion. In-pipe inspection robots are regarded as an expected non-destructive testing tool of analyzing and evaluating in-pipe defects. This paper built a simple variable-diameter pipeline platform based on real pipeline environment. The movement of robots was analyzed to meet the functional requirements of variable diameter and obstacle-crossing. A design scheme of automated in-pipe robot with self-adaptive various diameter mechanism was developed, where a parallelogram connecting rod mechanism combining spring and feed screw nut pair was employed to adapt the diameter change of pipelines from 200mm to 250mm, actively and forcedly. Moreover, a digital camera device was equipped to perform on-line macro detections and in-pipe image acquirements. The results indicate that designed robot system has good various diameter properties. The work provides a reference for subsequent designs of in-pipe inspection robots.
Theoretical Analysis of a Water Hydraulic Internal Ball Gear Pump
Authors: Yang Yousheng , Yang Feihu , Fan Junqian , Yankey Richmond Polley 
Published: April 2020

Abstract
In view of current volumetric water hydraulic pumps, especially water hydraulic internal gear pumps, a scheme of an internal ball gear pump was proposed. Its working principle was expounded and the calculation methods of its performance parameters such as displacement, flow pulsation and maximum speed were studied. Compared and analysed the advantages and disadvantages of traditional displacement water hydraulic pump with ball gear pump, and its key basic technologies. The results show that (1) by engaging the concave/convex ball gears instead of the gears, it can realize the function of the pump; (2) the arrangement of multiple rows of radial staggered not only ensures the continuity and stability of the transmission, but also solves the phenomenon of water trapping; (3) displacement is proportional to the diameter of the ball (modulus) while flow pulsation is inversely proportional to the number of rows of ball gear. Also, the maximum speed is inversely proportional to the diameter of the concave ball gear and the density of the working medium, which is proportional to the inlet pressure of the ball tooth pump, etc... This study could lay a simple theoretical foundation for the development of high-performance water hydraulic internal ball gear pump.
The Experimental Study of the Influence of Modal to the Noise of the Hydrofoil
Authors: Xu Yingbo , Tang Denghai 
Published: April 2020

Abstract
In order to study the influence of modal to the noise of the blade, the tests of modal and noise are carried out in the cavitation tunnel. The modal of hydrofoil was measured in the water and the noises of the hydrofoil with different inflow velocity were tested. The results show that the frequency of the peak of the noise spectrum is not changed with the inflow speed increasing. The amplitude of the peak increases first and then decreases with the inflow speed increasing. The structural characteristic of the hydrofoil has important influence on the noise and the frequency of the peak is equal to the modal frequency.
Analysis of Construction Settlement of Shield Tunnel Crossing Metro Operating Tunnel
Authors: Zhang Mengheng , Wan Heng , Li Wei , Kang Huixin , Ding Xiuheng , Shen Peng 
Published: April 2020

Abstract
Based on the background of the Suzhou Metro Line 3 crossing the Line 1 operating tunnel, the finite element software MIDAS/GTS was used to perform 3D model and simulate the construction of the shield tunnel. The influence of shield tunnel penetration before and after strengthening on operating tunnels is studied. The research results show that the maximum settlement of the operating tunnel caused by underpass construction without reinforcement is 11.64mm, which exceeds the control value of 10mm, and deformation control measures must be taken. After reinforcement, the maximum settlement of the soil around Line 3 is only 5.65mm, the reduction of settlement about 50%, and the settlement control effect is obvious, which shows that it is feasible to take deformation control measures for pre-reinforcement of the soil around the tunnel.