bluuebunny/crossref_metadata_2025_split huggingface dataset:
Algorithm of applying the energy conservation law to study the thermal stress-strain state of a rod of variable cross section with the simultaneous presence of local temperatures, heat exchanges and thermal insulations
Authors: Muheyat Niyazbek , Kuenssaule Talp , Kudaykulov A.K , Mukaddas arshidinova , Anarbay kuaykulovi , Azat tashev 
Published: July 2020

Abstract
The bearing elements of power plants, internal combustion engines of jet engines, nuclear thermal power plants, gas-generating power plants, processing lines, and spacecraft antennas are rods of variable cross-section. They work in a difficult temperature environment. In this paper, we propose an algorithm for applying the fundamental law of energy conservation for a deep study of the resulting thermal-stress-strain state of a rod of limited length and variable cross-section in the simultaneous presence of local temperatures, heat exchange and thermal insulation. At the same time, the obtained solutions in the form of determining the temperature field, displacement, all the components of deformations and stresses, as well as the calculated values of the rod elongation and the resulting axial force are highly accurate at the level of satisfying the energy conservation law.
Interpolating Equation of Precision Platinum Resistance Thermometers in the Temperature Range between -80°C and 300 °C
Authors: Jiang Yingying , Zhu Yichen , Zhou Bingyan , Yao Liyao 
Published: July 2020

Abstract
This paper compares two interpolation equations for the calibration of precision platinum resistance thermometers (PPRTs) in the temperature range between -80°C and 300°C. They are the deviation function specified in the International Temperature Scale of 1990 (ITS-90), and the quadratic Callendar–van Dusen (CVD) equation. It was found that when the calibration range was between -80°C and 300 °C, ITS-90 deviation function resulted in a measurement error-of-fit of ±23mK, and the CVD equation resulted in ±24mK. In the temperature range of (-80∼0)°C, ITS-90 deviation function showed distinctly better performance than the CVD equation. When the temperature range was between 0°C and 100°C, the difference among the two equations was insignificant. In the temperature range of (100∼300)°C, the measurement error-of-fit of ITS-90 deviation function increased with temperature, and the maximum error-of fit under the CVD equation appeared at 200°C. If the temperature range is wider, the ITS-90 deviation function had better calibration effect. While the CVD equation worked better in a narrow temperature range.
Analysis and Research of a DC24V Surge Suppression Circuit
Authors: Zhong JianFu , Yu ChangHong , Liu MengLi , Cen SongQing 
Published: July 2020

Abstract
In the industrial environment, the stability and safety of the electronic equipment are determined by the anti-interference degree of electromagnetic compatibility. In this paper, a DC24V surge suppression circuit which can be used in embedded data collector is studied theoretically and experimentally. The feasibility of the circuit is verified by the circuit simulation, and then the surge experiment is carried out according to the circuit design board. At the end of the paper, we make a summary based on the experimental data to verify the practicability and feasibility of the circuit.
Intelligent substation fault diagnosis based on optimization support vector machine
Authors: Chen Bin , Liu Guangzhen , Mu Zongjun , Xu Huibo , Tian Zhao , She Wei , Liu Wei 
Published: July 2020

Abstract
In view of the present intelligent substation fault diagnosis of complicated structure, sample data acquisition difficult, randomness of failure and other issues, build a kind of intelligent substation fault diagnosis based on the optimization of support vector machine (SVM) model, first of all, through the principal component analysis (pca) to simplify the fault source and key fault feature extraction, reduce the complexity of fault diagnosis.Then, based on the characteristics of the operation mode of the substation, the multi-classification SVM classifier is constructed and optimized by the imperial competition algorithm to find the optimal parameters. At last, the fault events of real substation are verified by experiments. The results show that the proposed fault diagnosis method can effectively solve the problem of less training samples and has a better diagnosis effect.
An Analysis of a shutdown caused by a misoperation of differential protection of high-voltage auxiliary transformer
Authors: Qian Zhunli 
Published: July 2020

Abstract
In response to an accident of misoperation of the high-voltage factory transformer differential protection, the cause of the misoperation was investigated and analyzed from the perspective of the volt-ampere characteristics of the current transformer and the protection operation information, and it pointed out the abnormal interruption of DSP memory caused by the malfunction of differential protection, and put forward the corresponding treatment and preventive measures.
Technology Progress and Energy Efficiency: An Empirical Analysis of Shanghai Industrial Firms
Authors: Wang Chen , Fan Ying , Sun Kege 
Published: July 2020

Abstract
In the tough stage of transition development, it is necessary for Shanghai industrial sector to take measures like R&D and technology import to improve energy efficiency, which also contributes to carbon emission reduction, reduction of the external dependence of energy consumption and the achievement of green development. This paper estimates energy efficiency of Shanghai industrial sector based on historical data of industrial enterprises in Shanghai and analyzes the mechanism and level of the influence of factors like R&D and technology import on energy efficiency of the industrial enterprises. The results show that the internal R&D investment of enterprises have a significant positive impact on energy efficiency of collective and private enterprises in Shanghai. Foreign investment has positive spill-over effect and leads to energy efficiency improvement for foreign-invested enterprises in Shanghai. Besides, the deeper the enterprises engage in export trade, the higher the energy intensity and the lower the energy efficiency will be, which implies that the export-oriented enterprises are more likely to produce and export energy-intensive products and suffer from energy efficiency loss. So, it is not only necessary to encourage internal R&D innovation of enterprises, but also important to implement transformation and upgrading of enterprises in the value chain of international trade.
Mechanism Design for Participation of Demand Response in China Power Market
Authors: Zhang Gao , Xue Song , Zhang Xiaoxuan 
Published: July 2020

Abstract
At present, with the rapid development of demand response in China, various market players such as electric vehicles, energy storage, virtual power plants, and load aggregators are constantly enriched. However, due to the imperfect market-oriented trading mechanism, the potential and enthusiasm of demand response have not been fully released. With the accelerated construction of China’s power market, various trading mechanisms such as spot market and ancillary services market have gradually improved. Based on the development of China’s power market, this paper designs a market-based transaction mechanism for demand response, and proposes a future development path for demand response. In the end, the subsidy for demand response development in China is estimated, which supports the market-oriented participation path of demand response in China’s power market.
Time-delay compensation and weighted feedforward control for reducing current harmonic of grid-connected inverter in weak power network
Authors: Gao Haitao , Wan Huaqing , Cui Qiguan , Liu Yiwen 
Published: July 2020

Abstract
In order to improve the quality of grid-connected current, the full feed forward control of grid voltage is often used to increase the output impedance of inverter. However, due to the influence of digital control delay, not only the harmonic suppression effect is weakened, but also the negative phase shift of the output impedance, which deteriorates the stability of the inverter in the weak network. In this paper, a time-delay compensation and weighted feedforward control strategy is proposed, in which a series of quasi-resonant items are added to the full feed forward circuit, and only the feedforward background harmonics appear at the frequency. By designing the quasi-resonant term, not only the phase delay introduced by the digital control can be compensated, but also the higher output impedance at the background harmonic frequency can be obtained, and the negative phase shift of output impedance can be reduced, and to improve the stability of the inverter in a weak power grid. Finally, a 6kw inverter prototype is built, and the validity and correctness of the proposed control strategy are verified by experiments.
Corrosion Risks Assessment Management of Natural Gas Pipelines Based on TPI Management Mode
Authors: Zhang Long , Zhou Yisu , Zhou Lei , Wang Weiwei , An Chen 
Published: July 2020

AbstractIn order to clarify the goals of corrosion management of natural gas pipelines, achieve key, orderly, visual and dynamic management of indicators at all levels and get rid of trivial management, the TPI management was used to manage the corrosion block index of natural gas pipelines. Firstly, clarify the management objectives of the corrosion block of natural gas pipelines, and achieve the activity decomposition of the management objectives. Secondly, through the independent-coupling analysis of the risk and the Gray evaluation theory, it proposes the Gray consequence grade equation and the Gray risk matrix, which determines the TPI indicators, and develops an economic rating system. The results of the study indicate that the pipeline is in a critical stage and require the implementation of the targeted management. In addition, the risk value of the outer wall corrosion is the highest in the target activity, and the TPI indicators of the entire TPI system of the Nature Gas pipelines corrosion are as follows: the integrity of the outer protective layer, outer coating thickness, soil pH, soil salinity, soil sulphur, residual stress, sudden stress, design stress, SCC sensitivity, material mechanical strength, material corrosion resistance, inner coating thickness, protection potential, pigging quality, H2S content and CO2 content. And it establishes an economic evaluation model according to the TPI system.
Real-road Emission and Fuel Economy of Buses using Different Fuel
Authors: Wang Fengbin , Yu Quanshun , Wang Xuefeng , Ma Juyu 
Published: July 2020

Abstract
The real-road emission and the fuel economy of 2 China-VI buses and 2 China-III buses using different fuel are tested using portable emission measurement system. The results show that, compared with Beijing VI diesel buses, China VI buses using B5 biodiesel is 33.1% lower in CO specific emission, 15.6% higher in NOx specific emission, and 13.1% lower in PN specific emission. The CO emission factors of the four buses using B5 biodiesel decrease by 29.5% averagely compared with Beijing VI diesel buses, while the NOx emission factors increase by 12.7% and PN emission factors decrease by 9.1%; the CO2 emission factors increase by 11.3% and thus the fuel consumption per 100km increase by 11.51% which is calculated using carbon-balance method considering the impact by fuel density. The fuel economy difference is high. More research on the impact on fuel economy by fuel heat value or other physical and chemical parameters is necessary in the future.
The Reliability Research and Risk Analysis of Spent Fuel Pool under Internal Fire
Authors: Xu Zhixin , Wang Ming , Hou WenYu 
Published: July 2020

Abstract
The Fukushima nuclear disaster has raised the focus on the reliability and risk evaluation of the spent fuel pool (SFP), especially the fire risk. From a safety point of view, the low decay heat of the spent fuel assemblies and large water inventory may make the accident progress very slow, but a large number of fuel assemblies stored inside the pool and without containment above the SFP building might bring greater risk. For pressurized water reactor HPR1000 nuclear power plant, the reliability and risk of spent fuel pool under internal fire is assessed. The fire probabilistic safety analysis method is used to assess the reliability and risk of spent fuel pool under internal fire. Through quantitative analysis, we can know more about which aspects play a leading role in the internal fire risk contribution.
Multi-objective Lightweight Design of Bracket Based on Sensitivity Analysis
Authors: Guo Zhounan , Wang Bingzhe , Zhao Fei 
Published: July 2020

Abstract
This paper takes a bracket as the research object. In order to realize the lightweight design on the basis of ensuring its static characteristics, use the sensitivity analysis method to analyze the magnitude of the impact of key dimensions on the design of the bracket structure; Combined with the multi-objective optimization design method, the lightest mass, maximum deformation and maximum stress as the optimization objectives, to obtain a set of optimal size values. Finite element analysis of the static characteristics of the structure before and after optimization. After optimization, the weight of the bracket decreased by 2.35%, and the performance was also improved. The results show that combining sensitivity analysis and multi-objective optimization is an effective way to design lightweight structures.
Comparison and Application of Neural Networks in LWD Lithology Identification
Authors: Chen Gang , Chen Long , Li Quanxin 
Published: July 2020

Abstract
Aiming at the problems of poor fault tolerance, low automation and low interpretation accuracy of traditional lithology identification methods, through the application of neural network autonomous learning prediction analysis methods, different neural network prediction methods were compared to select a more suitable field practical method for the logging-while-drilling (LWD) system. It has been found that, with the same prediction method and the same logging curve, the more training samples obtained in the standard interval, the higher the accuracy. The result is obtained through comparison: the PNN probabilistic neural network method has better effect in production application, high recognition accuracy, and the shortest training recognition time. It can still maintain a high recognition level when acquiring fewer logging data information.
Research on Gaussian Plume Model of Gas Diffusion in Coal Mine Roadway Based on BP Neural Network Optimized by Genetic Algorithm
Authors: Nie Zhen , Ma Hongwei , Zhang Yishu 
Published: July 2020

Abstract
Intelligent monitoring and control of harmful gas in a coal mine is an important aspect of the building on intelligent and green mine. It is a hot spot of artificial intelligence research in the coal mine to study the new technology of dynamic prediction of harmful gas by using artificial intelligence, big data and other interdisciplinary fusion methods, and gradually replace the artificial monitoring work. By researching the gas diffusion theory and the characteristics of the coal mine environment, this paper uses the Gaussian plume model to simulate the gas diffusion law of coal mine roadway, and puts forward a gas prediction model optimized by genetic algorithm and BP neural network. The algorithm takes the absolute error between the predicted output of gas source term and the field measured value as the peculiar fitness value and optimizes it. The results show that the optimized BP neural network can obtain the best concentration prediction value for short time and a small error. Compared with the traditional gas prediction method in coal mine, this method has the advantages of small calculation amount and high prediction accuracy, and it can improve the reliability of the model by continuous machine learning combined with daily monitoring, which provides a new technical solution for the intelligent detection of environmental information in coal mine roadway.
Research and Application of Cleaning and Coating for Condenser
Authors: He Fengyuan , Niu Ruqing , Wang Fei , Li Yao , Liu Chengming 
Published: July 2020

Abstract
The scale on the water side of condenser copper pipe of unit 3 in a power plant has exceeded 1mm and “dezincification corrosion” has occurred. The condenser copper tubes were cleaned and coated by static and dynamic tests. After the completion of the project, the inner wall of the copper pipe is cleaned and the coating is in good condition, achieving the expected effect.
Application of GIS and BIM Integration Technology in Construction Management
Authors: Han Zhong Hua , Wang Zhen Kai , Gao Chao , Wang Ming Xiao , Li Sheng Ting 
Published: July 2020

Abstract
With the development of smart city, the concept of smart development is integrated into the construction management, so as to promote the smart development of construction and improve the efficiency of construction management. This paper discusses the application prospect of GIS-BIM integration technology in construction schedule management, site material management and safety management of construction personnel. At the same time, it looks into the application trend of gis-bim integration technology and global wide area network, Internet of things, virtual reality and other emerging technologies in the integration of building construction management, so as to promote the intelligent and visual management development of gis-bim integration technology in building construction management.
Fractional Porous Medium Equations to Non-Darcian Flow by Means of the Bernstein Polynomials
Authors: Deng Huilin , Li Lifeng 
Published: July 2020

Abstract
The Bernstein polynomials is used to develop the fractional differential Swartzendruber model in porous media. With the operator matrix of the Bernstein polynomials, the fractional differential Swartzendruber equation is transformed into the products of several dependent matrixs which can also be regarded as the system of linear equations after dispersing the variable. By solving the system of linear equations, the numerical solutions are acquired. Some experimental data are provided to show that the method is computationally efficient and accurate.
Finite Element Analysis On Traditional Camber Snowboard
Authors: Jiang Chengkai (Kenny) 
Published: July 2020

Abstract
The main focus of this paper is to analyze the behavior of the snowboard under different circumstances including the materials and the ways it is being ridden. The shape of the snowboard determines the board’s dynamic characteristics and performance [1][2]. In this research, traditional camber snowboards are analyzed by applying finite element method. Two riding conditions including normal riding on the flat surfaces and rail riding and two different kinds of materials which are beech wood and fiberglass (E-glass) are combined to be analyzed. Analyzing how the snowboards behave under different conditions allows designers to understand what they should modify to optimize the performances of the snowboard. It also gives the manufacturers a better understanding of what kinds of materials they should be using to ensure the long-lasting performance of the snowboard. Moreover, it helps riders to choose the most suitable snowboard for them based on their riding habits.
Dynamic Operational Characteristics for Condenser and Correlative Equipment
Authors: Wu Hao , Hou Yingzhe , Qian Feng 
Published: July 2020

Abstract
Effective control of condenser backpressure and outlet supercooling plays important role in thermal deaeration process. The back pressure model of condenser is established to analyze the influence of condenser pressure and temperature on circulating water flow, circulating water temperature and suction capacity of air ejector. The dynamic control characteristics and ability of the above factors to backpressure are analyzed.
Study on land port path optimization based on improved genetic algorithm
Authors: Zhang Jinyang , Ma Xiaobin , Huang Peijie 
Published: July 2020

Abstract
In the face of the development of supply chain globalization, Whether it is the choice of goods clearance or transportation mode, the establishment of land waterless port for product transportation, rapid customs clearance, convenient enterprises have a great role. Based on the analysis of the present situation and existing problems of land ports in China, the paper uses improved genetic algorithm to optimize the previous transportation paths. This paper analyzes the present situation and existing problems of waterless ports in China so as to optimize the previous transportation paths by using improved genetic algorithm. Through continuous iterative optimization, the collection paths are shortened and the no-load rate is reduced, so as to make full and reasonable use of transport vehicles, provide better service for enterprises and reduce more costs for waterless ports.
Optimization analysis of online marketing strategy based on the regression prediction model
Authors: Yang Jingya , Xiao Xiwang , Zhang Xianfeng , Wen Bin , Zhang Yuehua , Guan Jinqiu , Li Lan 
Published: July 2020

Abstract
In response to the three new product sales recommendations of the Amazon online market “Sunshine”, based on the data set provided by the enterprise data center, the data in the NLP feature package is preprocessed in Python, and the AHP model is established to measure and establish the data. This experiment according to the quarterly time series ARIMA model to forecast the product sales, and then through the standardization of OLS regression model to predict the trend of the development of products. The results showed that customer text reviews were an important reference for the sunshine company and found that microwave oven sales increased by an average of 6.28%, while sales of baby pacifiers and hair dryers increased by an average of 1.02%. This experiment based on this, puts forward the corresponding marketing strategy. Online marketing strategy can pay more attention to the customer’s comments, make updates on the features of the product, the use of to meet customer demand. The study enriches the existing research results, and the sun of the company’s sales strategy provides feasibility suggestions, thus has important theoretical significance and practical value.
Robustness analysis of road networks
Authors: Yu Yi , Wang Liang , Liu Mei 
Published: July 2020

Abstract
Damage events with difficulties to foresee are challenges to road networks especially under the background of a complex social environment. Robustness is critical in dealing with particularly high impact low chance events. In this paper the robustness of a road network is quantified to identify the weaknesses in the form of a road network. Theories of topology, structural vulnerability and road traffic are utilized in this paper. Transmittance of actual traffic flow is considered for the function evaluation of a network. This paper proves that the road networks has the weakness of single points or multi-point. If there is congestion, it may cause great functional loss to the local or the whole road network. Findings in this paper are strong supportive points of research for the propagation of more delicate-designed and form-improved road networks in urban areas. Adaption of the current work can be made when various practical cases are involved.
Application of P-median Method in the Location of Logistics Nodes
Authors: Tang Changyu , Tang Hongjuan , Jia Anzhen , Yin Wang 
Published: July 2020

Abstract
The location of logistics nodes and the concept of P-median method are analyzed in detail. In view of the problem of logistics node location, using P-median theory model, using greedy take-away heuristic algorithm, the Jinan A fruit and vegetable company provides a precise algorithm on the location of logistics node in Jinan. Realizes the rapid solution of the model, removes unqualified address from multiple candidate addresses, and selects the optimal logistics node location option.