bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on High Precision Attitude Measurement of Flexible Link Based on Low Cost Sensors
Authors: Yu Feng 
Published: April 2021

Abstract
Flexible links are widely used in industrial robots and special robots due to their light weight, high load ratio and good maneuverability. Due to the flexibility of the connecting rod, the vibration and deformation of the manipulator will occur during the movement, which will affect the stability of the flexible arm. According to the theory of elastic deformation, the attitude of the whole flexible arm can be estimated by indirectly measuring the deformation of the flexible arm. In this paper, low-cost sensors such as encoder, strain sensor and angle sensor are used to measure the deformation of the flexible arm. Through theoretical analysis, the posture and end position of the flexible arm after deformation are obtained. The experimental system is built to verify the proposed method. The results show that the method is correct and effective. The measurement error is 6.5% in the experiment, which meets the measurement accuracy requirements of flexible arm control.
Finite element analysis of silicone rubber based on Yeoh constitutive model and Ogden constitutive model
Authors: Zhang Qi , Meng Guoying , Geng Haixu , Suo Shuangfu , Zhang Jinsen 
Published: April 2021

Abstract
Based on the two constitutive models of Yeoh constitutive model and Ogden constitutive model, a finite element model of uniaxial compression experiment of silicone rubber was established. The stress-strain curves and stress clouds of different models of silicone rubber were compared to further verify the two models. It is found that the Ogden model (N=3, N=5) has a good fit between the stress-strain curve simulation results and the nominal stress-strain curve when there is only uniaxial compression test, and the model constant Compare solutions.
Mechanical properties of aramid fiber reinforced rubber sealing gasket at different temperatures
Authors: Zhang Bin , Feng Xiucheng , Yang Cheng , Yu Xiaoming , Nie Jiawei 
Published: April 2021

Abstract
The reliability of sealing connection system mainly depends on the performance of sealing materials. The key to solve the problem of high parameter seal is to develop new sealing composite materials. In view of the seriousness of energy and environmental problems, aramid fiber reinforced composites as an alternative to asbestos composites have received more and more attention. In this paper, the effects of different temperature, tensile rate and sample orientation on mechanical properties of aramid fiber reinforced rubber sealing composites were studied. The results showed that the initial elastic modulus and the tensile strength of the material increase with the increase of tensile rate and decrease with the increase of temperature. The tensile strength of material in longitudinal direction was greater than that in transverse and 45 degree direction. Furthermore, the fracture displacement of material at 20°C was much larger than that at 100°C.
Design of laser welding workstation control system based on industrial robot
Authors: Wang Zhelu 
Published: April 2021

Abstract
In order to realize the automation of laser welding industry, a control system of laser welding workstation based on PLC and industrial robot is designed. The control system takes ABB industrial robot and S7-300 PLC as the control core, adopts PROFIBUS bus communication, carries out the hardware selection, construction and program design of workstation control system. Production practice shows that the system workstation can automatically complete laser welding and other production tasks, the overall operation is good, the working speed is stable, the working speed is fast, and it has broad application prospects.
Investigation on creep law of QT600 ductile iron based on cellular automata
Authors: Wu Hongliang 
Published: April 2021

Abstract
The steady state creep rates of QT600 ductile iron under various temperature are obtained by high temperature creep experiments. And the cellular automata model of creep microstructure evolution of QT600 ductile iron was established based on quantitative analysis of the microstructure. The results of the model are in good agreement with the results of the validation experiments. It’s shown that the cellular automata model is feasible and with high precision to predict the creep law of QT600 ductile iron. The results can provide some technical references for the safety analysis of QT600 ductile iron.
Study on the Performance of Pd-Catalyst Based on Decolorization Rate
Authors: Zhang Yongli 
Published: April 2021

Abstract
The simulated azo dye waste-water was treated by Catalytic Wet Oxidation. The catalyst was prepared by impregnation method, and FSC (main component: γ-Al2O3) was used as the catalyst carrier, and 6wt%Cu, Fe, Pd and La were added. The catalyst was dynamically impregnated at 35 °C for 8 h, dried at 110 °C for 10 h, and roasted at 450 °C for 3h to prepare the supported catalyst. Based on the decolorization rate of treated waste-water, the effect of component composition on catalyst performance was investigated. In the CWAO treatment of waste-water, the pH of the treated effluent first decreased and then increased with the extension of reaction time; with the extension of reaction time, organic matter degrades continuously, the absorbance of waste-water decreases and the decolorization rate increases. Cu-Fe-Pd-La/FSC (ratio 0.75:0.75:1.5:3) has the best treatment effect; the metal dissolution concentration of the waste-water increases with the reaction time. Cu and Al are relatively stable, and the dissolution concentration in treated effluent is between 0.5 and 3.0 mg/L. The results showed that the Cu-Fe-Pd-La/FSC catalyst composed of Cu: Fe: Pd: La=1:1:1:3 had good catalytic activity and stability.
Study on the Electrical Performance of 10kV Composite Material Crossarm
Authors: Wen Jiqun , Wu Xiong , Ke Rui , Shen Fan , Mei Duan , Guo Wei 
Published: April 2021

Abstract
The composite material crossarm has excellent insulation, water repellency, light weight and high strength, which can effectively improve the safety level of the power line. Research results showed that the dry flash lightning voltage and wet flash frequency voltage of the composite crossarms were increased by 50% and 39% respectively, compared to the angle steel crossarms fixed with the same size insulator and the same air gap; corresponding wet frequency withstand voltage and filthy resistance voltage were increased by 117% and 30%, respectively; and the wet and filthy flashover all occurred on the surface of the composite material crossarms.
Experimental Design of Acoustic Emission Detection for Micro Leakage in Marine Compressed Gas System
Authors: Wu Mengmeng , Yang Jiaxuan , Jiang Bin 
Published: April 2021

Abstract
In order to detect the micro leakage of marine compressed gas pipeline system, an experimental platform for detecting the micro leakage of compressed gas is designed by using acoustic emission technology. The results show that the experimental platform can effectively simulate the two typical marine compressed gas pipeline leakage problems: pipe wall damage and valve internal leakage. At the same time, these leakage problems can be effectively detected by using acoustic emission signal acquisition and processing system.
Research on Intelligent Monitoring Technology of Substation and Distribution Station Driven by Big Data
Authors: Wu Junxing , Hu Yang , Huang Chizhi 
Published: April 2021

Abstract
The power transformation and distribution station is the power supply foundation to ensure the normal operation of all kinds of large factories and large communities. The realization of the overall solution of intelligent monitoring system for transformer and distribution station based on big data helps to ensure the safe operation of power transformation and distribution station and ensure the quality and stability of regional power supply. The intelligent monitoring system of power transformation and distribution station based on big data is composed of automatic monitoring system of power transformation and distribution and intelligent monitoring system of Internet of things of power transformation and distribution station. Through the research and application of partial discharge monitoring, SF6 leakage detection, wireless sensor and other technologies, big data analysis technology is used to analyze the monitoring data, so as to realize remote monitoring and intelligent monitoring and diagnosis of power transformation and distribution station.
Research on the Dispatching Strategy of Desalination Load Participation in Distributed Renewable Energy Consumption
Authors: Song Jie , Zhu Qing , Chen Jiadong , Chen Liangliang , Chen Peiyu 
Published: April 2021

Abstract
In this paper, the dispatching problem of desalination load participation in distributed renewable energy consumption is taken as the research object, and the various characteristics of desalination system operation are analysed. According to the operating characteristics of the system, the operation constraints and optimal dispatching objectives of the multi-energy system with desalination load are proposed. An optimal dispatching model for distributed renewable energy consumption with desalination load participation was established and the linear simplex algorithm was used to solve the dispatching model according to the characteristics of the optimization model. The example shows that by optimizing the operation of the multi-energy system with seawater desalination load, it will help the local high-density distributed power supply to be consumed locally and improve certain economic benefits.
A Review on MXene: Synthesis, Properties and Applications on Alkali Metal Ion Batteries
Authors: Wang Zifan 
Published: April 2021

Abstract
As a new type of two-dimensional material, MXene has been extensively known due to its various functional groups. The profuse surface terminated functional groups bring good conductivity and hydrophilicity to MXene, make it a good material for batteries. In this article, the synthesis, properties and batteries applications of MXenes were introduced, and the current challenges and outlook for future research on MXene applications was discussed.
Research on Power Equipment System of Knowledge Graph under Electric Energy in Smart Grid
Authors: Hu Jiangyi , Zhang Nan , Shang Yingnan , Yu Jun , Zhang Wenqiang 
Published: April 2021

Abstract
In order to realize technological innovation in the electric power field, the article uses artificial intelligence, big data analysis and mining, knowledge graphs, natural language processing and other technologies to construct Chinese professional dictionaries and knowledge graphs in the electric power field. And on this basis, the thesis puts forward the technical architecture of a comprehensive energy service support system based on the concept of “a picture of the power grid”, a spatiotemporal data management platform and a graph database query application implementation mechanism. Finally, research and design the visualization of the hierarchical organization of the data, use the association relationship between the data to organize the data into multi-topic classification and hierarchical organization, and provide a friendly interactive man-machine interface.
Research on Location and Layout of Electric Vehicle Charging Facilities Based on Power System Dispatch
Authors: Guo Jinji 
Published: April 2021

Abstract
In order to enable the limited charging stations in the road network to meet as many demands as possible, and to give full play to the advantages of electric vehicles in changing the energy consumption structure and reducing greenhouse gases, a dualobjective charging station optimization problem is proposed. The paper uses the shortest path and the next-shortest path to describe the traffic flow factors in the traffic network. The goal is to maximize the traffic flow intercepted by the charging station, minimize the investment cost of the charging station and minimize the node voltage offset, and establish electric vehicle charging Station multi-objective planning model. The results prove the effectiveness of the proposed method and provide decision support for enterprises to scientifically and reasonably select the location of charging stations.
Analysis of the detection method of insulators deterioration based on optical electric field sensors
Authors: Yaowen Liu 
Published: April 2021

Abstract
With the acceleration of uh-voltage transmission project construction, transmission lines are becoming increasingly important to maintain the safe and stable operation of the power grid, and insulators are essential components of mechanical support and electrical connection in transmission lines. However, due to long-term environmental impact, insulators exposed deteriorate year by year. Therefore, it is necessary to detect the faulty insulator in advance, and to carry out the test in the operating state of the insulator string to identify and replace the faulty insulator string in time. However, the current method of detecting insulators in actual engineering is greatly affected by the environment, the test result is not accurate enough, the predictability is not good and the detection efficiency is low. The optical electric field sensor based on the Pockels effect of optical crystals can realize chargerd detection, improve detection accuracy, reduce environmental impact, and make the detection more stable, lower cost, better economy compared with methods widely used in the market, such as infrared detection method, ultraviolet detection method, sonic detection method, manual methods. Further consideration can be given to combining with drones to expand usage scenarios and improve detection performance for widespread use.
System of monitoring and early warning for temperature of truck Brake shoe
Authors: Yao Xueping , Ji Bingkui , Zhong Yuexi , Li Mingda 
Published: April 2021

Abstract
For truck brake shoe early-warning temperature dynamic detection, this paper proposes a temperature detection device for brake shoe based on thermocouple temperature sensor, and by using ANSYS finite element analysis method to analyse the brake drum brakes, brake shoe linings in the process of the location of the maximum temperature, and determined the brake temperature of the brake safety threshold. To liberate the acetate II heavy commercial vehicles for the test vehicle, MC9S12XEP100 microcontroller as the car terminal, designed and developed brake shoe temperature dynamic detection warning system platform, and researched. The experimental results show that the temperature measurement error is less than or equal to 4%, which verifies the accuracy and feasibility of this method for dynamic detection of the temperature of the warning hoof.
Offset Cancellation and Programmable Gain Design for Switched Capacitor Amplifier in Digital DC-DC Converter
Authors: Zhang Panpan , Zhao Peng , Chen Xiaoping , Song Yang , Zhang Zongjiang 
Published: April 2021

Abstract
This paper presents a fully differential switched capacitor amplifier with programmable gain design and offset cancellation technique used in digital DC-DC converter. To trade off the effective resolution for dynamic range of the error ADC, the gain of the switched capacitor amplifier is designed programmable that can be configured 1X, 2X, 4X or 8X. To improve system offset performance, the first stage is utilized full-differential switch-capacitor architecture conducive to common mode noise rejection and differential offset cancellation caused by charge injection. In addition, to cancel the offset brought by amplifier input stage, offset cancellation techniques are also implemented. The offset voltage is stored in calibration capacitor in sampling phase and cancels the input offset in amplification phase. This proposed circuit is simulated in 180nm 4P6M CMOS technology. From the simulation result, the offset voltage is fully cancelled. In addition, programmable gain design is also verified that dynamic adjustment accuracy in DC-DC feedback loop in X8 is superior than X1.
A Diagnosis Method of Vibration Fault of Steam Turbine Based on Information Entropy and Grey Correlation Analysis
Authors: Chen Fei , Cao Hao , Zhang Bolin , Jilong Wei 
Published: April 2021

Abstract
Based on the faulty signals collected from the rotor test platform, the grey correlation analysis was studied for vibration fault diagnosis of steam turbine shafting. The reference faulty matrix and the calculation model of grey correlation degree were established based on three kinds of information entropy. The analysis shows that grey correlation analysis is a useful method for fault diagnosis of shafting and can be used as a quantitative index for fault diagnosis.
Research on Measurement Traceability Method of Dynamic Shear Rheometer
Authors: Miao Na , Peng Lu , Chen Lei , You Chunmei , Wang Yixu 
Published: April 2021

Abstract
The dynamic shear rheometer is the basic instrument for studying viscoelastic materials. In this paper, the influences of the accuracy of dynamic shear rheometer were analyzed, calibration parameters were proposed and verified through experiments, and the extended uncertainty was 3.0 (k=2), which verified the feasibility of using viscosity reference materials as a technology to realize the measurement traceability of dynamic shear rheometer, and the traceability method can be promoted and applied to the traceability of various equipment.
Winding Vibration Analysis of UHV Shunt Reactor With Finite Element Method
Authors: Wu Xiaowen , Cao Hao , Tan Ben 
Published: April 2021

Abstract
In order to investigate the winding vibration characteristics of UHV shunt reactors, a scale model of UHV reactor is designed and manufactured with rated voltage 29.27 kV and rated current 669.9 A. The magnetic-structure coupled finite element model is proposed to analyze the winding vibration of the reactor. With this model, the distribution and time variation magnetic flux density (MFD) of the reactor is calculated. The Lorentz force in the winding is used as load input for structure analysis. The vibration displacement and acceleration distribution and variation process of the reactor winding is obtained.
An Experimental Study on High-Pressure Hydrogen Compatibility of Rubber Seals at FCV Refuelling Receptacles
Authors: Hao Dong , Yang Yunpeng , Gao Bin , Zhang Shimin , Zhang Yanyi , Wang Renguang 
Published: April 2021

Abstract
A method is proposed to test the sensitivity of high-pressure hydrogen compatibility of rubber O-ring seals at FCV refuelling receptacles based on a long-term high-pressure pure hydrogen full-immersion environment testing, in combination with such Chinese standards as the determination of the effect of liquids of rubber and FCV refuelling receptables. Through an aging property test system, the high-pressure pure hydrogen full-immersion testing is conducted for 5 groups of rubber O-ring seals to be measured. Before and after the testing, an electronic balance is used to measure the mass of the rubber O-ring seals, obtaining changes in mass and volume. At last, on the basis of the changes, the sensitivity of the seals of various models and in diverse experimental groups to the high-pressure hydrogen compatibility is obtained through our analysis.
Big Data: What are the Implications for Public Sector Policy in Society 5.0 Era?
Authors: Rahmanto Fajar , Pribadi Ulung , Priyanto Agus 
Published: April 2021

Abstract
Modernization in various sectors of life has made data and information valuable, which has an impact in changing people’s lives. One of the changes is how people get information from a large amount of data to be used in the public development sector. Public policy, as a solution to solve various public problems, needs to be supported by accurate data and information facts. With a massive amount of data, this has an impact on public sector organizations to be able to store and analyze various types of information for public policies consideration. The term ‘Society 5.0’ has emerged, a concept that refers to revolution in people’s lives through the use of technology by considering the humanities aspect. The potential for the huge benefits of big data technology is interesting to know as to whether big data can be used for the public policy formulation process. Therefore, this article will provide an overview of the implications of big data for the public policy process in society. This research uses qualitative method with literature study approach. The data came from websites and government documents related to the use of big data in public policies, analyzed using the NVivo12 Plus application. The emergence of big data, as a basis for making public policy, can be utilized for analysis, which includes social data analysis, historical data analysis, and predictive data analysis which can influence accuracy in the policy decision making. Public policy in the era of society 5.0 is vital to be realized through the use of big data as a source of information supported by technology and the readiness of actors in the policy-making process.
Implementation of Performance Management in Artificial Intelligence System to Improve Indonesian Human Resources Competencies
Authors: Gaol Porman Lumban 
Published: April 2021

Abstract
This study aims to analyze and explore the artificial intelligence system with Performance Management Studies through the POAC (Planning, Organizing, Actuating, and Controlling) method to improve the competence of human resources in Indonesia. The era of digital transformation is part of the process of greater technology, and this is a change related to the application of digital technology in aspects of life that exist in society. Indonesia is in need of higher quality resources to deal with artificial intelligence systems that demand smart company operations, smart services and innovative products. Performance management analysis is needed in the artificial intelligence system that can be applied in the development of science and human resource competencies in Indonesia, which include: analyzing HR competencies in the working world and industry systems, synergizing the role of higher education with relevant ministries and agencies, analyzing and mapping the education budget, and analyzing the HR needs of industry or companies with an artificial intelligence system. It is expected that the POAC method can be used as a reference for developing human resources competencies in the application of artificial intelligence systems in Indonesia.
Artificial Data Management in Reaching Conditional Cash Transfer of Program Keluarga Harapan (PKH) Utilizing Simple Addictive Weighting
Authors: Kasiwi Aulia Nur , Nurmandi Achmad , Mutiarin Dyah , Azka Muhammad Fatih 
Published: April 2021

Abstract
The main challenge in implementing a poverty reduction program is to identify precisely the targets that will benefit a program. Program Keluarga Harapan (PKH) is a social protection program from the central government through the provision of conditional cash transfers to Low-Income Households (RTSM)/Low-Income Families (CBOs), which are designated as Program Keluarga Harapan beneficiary families. Program Keluarga Harapan is the conditional cash transfer (CCT) program to reduce poverty by making welfare programs dependent upon the receivers’ actions. The accuracy of choosing targets directly impacts the achievement of social protection programs’ objectives in poverty alleviation. This research would like to dig up how Jogjakarta’s government is accurate to reach the beneficial Program Keluarga Harapan recipient. In terms of Jogjakarta’s government using the support system to classify the low-income family as the receiver of conditional cash transfers. Therefore, this research will explain which decision-making model used by the government of Jogjakarta managed by a computerized system, known that computerized data processing is expected to present information rapidly, precise, clear, and directed as the exact target for the program.