bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reliability assessment of distribution network considering differentiated end-users demand for reliability
Authors: Jiang Shigong , Wang Yunfei , Wang Dicheng , Yin Junjie , Yan Han , Wang Jianhua 
Published: February 2021

Abstract
In view of the importance of the distribution network in the power system and the current problem of the fragmentation of the reliability assessment of distribution network considering differentiated end-users demand for reliability index of the distribution network, this paper proposes a comprehensive assessment method for the reliability of the distribution network. Based on the distribution network data obtained from the perception layer of the Internet of Things, the main assessment indices for the reliability of the distribution network based on the power supply capacity and the number of users, and the reference assessment indices for the reliability of the distribution network based on the reliability price are calculated respectively. Then according to the index scoring standards, the reliability assessment result of the distribution network is obtained. A case study is used in this paper to verify the effectiveness of the proposed comprehensive assessment method.
The Energy Blockchain Establishing Policy Exploration Based on Microgird Routing Network
Authors: guang Ren , yawei Chen , xuan Du , xing Chen , haixia You 
Published: February 2021

Abstract
in order to enhancing the operation efficiency of energy internet, and develop the function and value space, it proposes an energy Blockchain of router network by applying the Blockchain to the energy internet. Concretely, a complex is a router’s storage of energy internet with a distributed storage of Blockchain, it establishes the physical bases of energy Blockchain under the structure of router network. Furthermore, by divided the operation information of energy internet into technical data and business data, it gives the operation process, and realize the generation and management of alliance linkage. Finally, Applying the energy Blockchain to energy management, comparatively analyzed these positive change and application value by Blockchain technology.
Fault identification using wavelet transform and Petri networks
Authors: Fang Liu , Hangli Jian , Qian Sun , Zhi Wang , Fan Chen , kai Liu , Shanshan Yuan , Mengqing Jia , Jiang Li 
Published: February 2021

Abstract
This paper proposes the fault identification methods by using fuzzy Petri networks for the advanced application of the micro phasor measurement unit (μPMU) in the distribution network. Firstly, μPMUs are placed at multi buses of the radial distribution network, and the measured impedance is obtained by μPMU. Then, the transient characteristics of the three-phase fault current are extracted by the wavelet transform and Petri networks. Finally, the simulation verifies the effectiveness of the proposed method in 10kV distribution networks.
Reliability Index Evaluation System of Distribution Network Based on Maximum Deviation and Application
Authors: Jiang Shigong , Yang Weihong , Deng Jiaming , Zhao Yaru , Li Junjie , Li Peng , Wang Zixuan 
Published: February 2021

Abstract
With the in-depth reform of the power industry, the reliability index evaluation system of the distribution network has become an important direction for the research of my country’s distribution network. Firstly, the load points are classified based on the power supply information of the distribution network, and the power supply reliability indicators of the system and consumers are established. Secondly, a comprehensive evaluation system of distribution network indicators is established based on the entropy weight-analytic hierarchy process with maximum deviation. Finally, the comprehensive evaluation index results are used to establish a distribution network reliability incremental cost calculation model, and the distribution network reliability electricity price that takes into account the differentiated reliability requirements is obtained. The analysis of calculation examples shows that the proposed evaluation system can obtain comprehensive reliability evaluation indicators with subjective and objective evaluation. And the results can be applied to reliability electricity price calculation to obtain reliability electricity prices that take into account both reliability and economy.
Effects of Dynamic Topology Reconfiguration for Optimal Operation in Multi-Microgrid System
Authors: Liu Qi , Wang Shouxiang , Zhao Qianyu , Wang Zhenyu , Tian Yunfeng , Liu Hanmin 
Published: February 2021

Abstract
Multiple microgrids (MMG) system can reconfigure its topology by adjusting statuses of static switches and tie switches to improve reliability and economics of individual MGs. In this paper, a day-ahead optimal operation approach of MMG system in parallel model with topology reconfiguration is proposed, and a co-evolution algorithm (CEA) based approach is studied to manage multiple MGs more economically. In addition, proper feasible regions are set to ensure feasibility of the solution in CEA. Effectiveness of MMG system reconfiguration as well as cooperative operations of reconfiguration, energy storage systems (ESSs), and dispatchable distributed generations (DGs) are studied via numerical simulations. Specifically, simulation results indicate that MMG system reconfiguration in parallel mode can improve economic operation of MMGs and enhance efficient utilization of dispatchable DGs and ESSs.
Review of noise reduction methods of vibration signal for wind turbine bearings fault analysis
Authors: Bing Liu , Baixin Liu , Sheng Wang , Huaping Liu , Qianbin Dai 
Published: February 2021

Abstract
Considering that the vibration signals of wind turbines are interfered with by low-frequency noise and background noise at the same time, it is difficult to extract the characteristic frequencies of early weak faults. The research on wind turbine bearing vibration noise reduction method to found that the potential failure symptom as early as possible for reducing the failure rate and reduce the operation maintenance cost reduction and to strengthen the reliable operation of the wind turbine is of great significance. Based on the analysis and summary of vibration signal characteristics of wind turbine bearing, the fault signal analysis, and noise reduction method of wind turbine bearing is introduced in detail.
Classification Analysis Method for Residential Electricity Consumption Behavior Based on Recurrence Plot (RP) and Convolutional Auto-Encoder (CAE)
Authors: Sun Zhiqing , Deng Xinyu , Xu Xianghai , Hou Weihong , Wang Shouxiang 
Published: February 2021

Abstract
Load clustering is the foundation of big data mining in power distribution system. It is helpful for power companies to accurately grasp users’ electricity consumption habits, improve power quality and develop demand response. To overcome the characteristic redundancy problem of the high-dimensional load data, the load clustering method based on RP and CAE is proposed. Firstly, the one-dimensional load curves are converted into two-dimensional recurrence plot to realize feature enhancement. Secondly, the advanced feature extraction capability of CAE is used to realize load feature extraction and dimension reduction. Finally, the spectrum clustering (SC) is used to analyze the user’s electricity consumption patterns. The validity of proposed method is verified by Ireland Smart meter dataset.
Hydraulic response due to channel subjected to an injection of a solute from the ground surface
Authors: Xu Yanrong , Zhou Yuming , Liu Yuehui , Yin Yabin 
Published: February 2021

Abstract
A reference area A
* was defined in this paper based on the actual field situation in Tianjin to study the longitudinal contaminated area A of silty soil subjected to an injection of a solute from the ground surface. The analysis results implied that A decreases gradually with increasing distance between the two. The value at 5m is almost 1.8 times larger than that at 20m. 20m was suggestted as the influence boundary afterwards. The results of different channel depth reveal that A under different H is linear variation with the reference area A
* The mathematical relationship between different initial hydraulic gradient i
0 provides a formulation, where two bound lines are proposed to facilitate a preliminary quick evaluation of A. The increasing of the pollution sources concentration ω play a catalytic role on the increasing of A, but there's an obvious turn point in the dimensionless predicted lines, the slope of the upper bound line drops from 0.47 to 0.1, while the lower bound line drops from 0.18 to 0.06 as ω changed from 0.01kg/kg to 0.1kg/kg. The promotion of concentration is tapering, while the concentration ω is above 0.1kg/kg, this stimulative effect would be diminished.
Automatic Identification Of Construction Dust Based On Improved K-Means Algorithm
Authors: Lei Fei , Ma Xiaohe , Dong Xueying 
Published: February 2021

Abstract
At present, the construction dust has caused great losses to people's healthy life and national economic development. In order to solve the shortcomings of the existing real-time sensor network detection of construction dust such as poor accuracy, this paper proposes an automatic identification of construction dust based on computer vision and improved K-Means clustering algorithm. We extract the saturation of HSV color model of each image to form a text data set. We determine the median value of the data set as the initial centroid of clustering, reduce the number of iterations and get the global optimal solution. Mahalanobis distance is used as similarity measure to cluster, which reduces the difference between different feature measures, improves the accuracy, and realizes the automatic recognition of construction dust based on computer vision. For the improved K-Means algorithm, the precision, recall rate and harmonic mean value are used to analyze the clustering results. The experimental results show that the improved K-Means algorithm has good robustness and high accuracy, and the automatic recognition rate can reach 89.33%.
Preparation, characterization and coagulation performance of a composite coagulant: Polymeric aluminum ferric sulfate
Authors: Jiang Zhenzhen , Zhu Junren 
Published: February 2021

Abstract
Polymeric aluminum ferric sulfate (PAFS) was a novel inorganic composite coagulant, prepared by direct oxidation process using aluminum oxide (Al2O3) and ferrous sulfate heptahydrate (FeSO4⋅7H2O) as typical materials. In order to obtain the optimal removal rate of the turbidity and humic acid, the optimum preparation conditions of PAFS was investigated as follows: SO4
2-/Fe, NO3
−/Fe, PO4
3-/Fe, Al/Fe molar ratio and reaction temperature. The resultant polymer was characterized by scanning electron microscopytrans (SEM). The results showed that the optimum preparation conditions were SO42-/Fe of 0.35, Al/Fe of 0.11, NO3
−/Fe of 0.45, PO4
3-/Fe of 0.09 and reaction temperature of 80°C, and the maximum turbidity and HA removal efficiency could reach 98.4%, 93.5%, respectively.
Bacterial cellulose nanofiber membrane for use as lithium-ion battery separator
Authors: Huang Qiumei , Zhao Chuanshan 
Published: February 2021

Abstract
Separator plays a major role in lithium-ion batteries. For conventional polyolefin separators, low porosity is a serious problem, which will affect the electrochemical performance of lithium-ion batteries. In this work, we prepared membranes with different porosities by controlling the amount of oxidant in the Tempo oxidation process. 2, 2, 6, 6-tetramethylpiperidine-1-oxyl (TEMPO)-oxidation bacterial cellulose (TOBC8) separator exhibits suitable porosity (65%), excellent wettability, high lithium ion conductivity (0.388 mS cm−1), and outstanding cycle stability.
Research on the influence of ultrafine sand on concrete performance
Authors: Chen Yongxin 
Published: February 2021

Abstract
Ultrafine sand mainly refers to the fine sand excavated underground in the Yellow River Basin and Jiaozuo or Kaifeng. The fineness modulus is between 0.3-1.0, and the quality is uneven. This paper systematically studies the basic characteristics of ultrafine sand from different origins, such as the mud content, fineness modulus, and MB value, and compares its effects on the performance of the second-generation and third-generation water-reducing agents through experiments. By replacing the machine-made sand in different proportions, the work performance and compressive strength of concrete are studied.
Environmental Stability of High Temperature Molten Vitreous Residue of Hazardous Waste
Authors: Wang Xiu-Teng , Liu Guoliang , Fang Fei , Lin Ling , Zheng Yang , Gao Dongfeng , Zhang Xiaoxin , Huang Jin 
Published: February 2021

Abstract
Vitrification technology is one of the harmless treatment methods for hazardous waste containing heavy metals and other harmful substances, converting solid waste into vitreous residue with amorphous structure by high temperature melting. In this paper, we propose the acid dissolution rate in acidic environment to characterize the environmental stability of molten vitreous residues. We have tested six high temperature melting residues from different enterprises. The results of our experiments show that the higher the degree of vitrification, the lower the acid dissolution rate, and most of them are similar to basalt, quartz and architectural glass. This work demonstrate that the vitreous residue produced by high temperature melting has high stability and low leaching toxicity. Vitrification technology can solidify heavy metals and other harmful substances in the dense three-dimensional structure of glass state.
Experimental study of Thermal performance on heat pipe radiator
Authors: Zhang Yaping , Haohao Hao , Haocheng Jiang , Yongxin Guo 
Published: February 2021

Abstract
The heat pipe radiator has become an effective way to solve the heat dissipation problem of electronic components due to its advantages of good reliability and high-heat dissipation efficiency. So it is necessary to explore the thermal performance of heat pipe radiators.In this paper,gravity radiators with two,four,and six heat pipes are used as the research object.The thermal performance of the three heat pipe radiators with different numbers of heat pipes is compared and analyzed through experiments.It mainly includes the influence of a different number of heat pipes on the heat dissipation power, thermal resistance,temperature uniformity, start-up time and other parameters of the radiator.Research shows that the number of heat pipes is one of the main factors affecting the thermal performance of a radiator. The more heat pipes,the better the thermal performance.
Calculation of Passive Earth Pressure on Rigid Retaining Wall Affected by Seepage and Soil Arching
Authors: Peng Shuquan , Luo Xin , Fan Ling 
Published: February 2021

Abstract
Seepage and soil arching are commonly encountered in the soil behind a rigid retaining wall, so the influence of these factors should be considered when calculating the earth pressure of the retaining wall. In this paper, behind a rigid retaining wall the steady seepage field was analyzed, the soil arching was also presented assuming the parabola soil arching, then improved formula of passive earth pressure on rigid retaining wall is obtained based on the horizontal differential element method. The result showed that the calculation of the passive earth pressure by the horizontal differential element method is consistent with the Coulomb’s earth pressure theory. Considering the seepage effect will reduce the passive earth pressure, while considering the soil arching effect will not change the passive earth pressure. The height of application of passive force from bottom is less than 1/3 of the height of the retaining wal. Considering the soil arching, the height of application of passive force from bottom is moved down, and the height of application of passive force from bottom is moved up by considering the seepage.
Study on the Properties of Halomonas Urease and Optimization of its Production Conditions
Authors: Li Yujing , Liang Xiaoya , Zhang Linghua 
Published: February 2021

Abstract
It is of great significance to treat the wastewater of high salt urea by using the halophilic microorganism containing urease. In this paper, Halomonas containing urease was selected to study its urease properties and optimize its urease production conditions. Halomonas sp. H36 was selected, and its growth reached its peak at 36 h. The maximum value was 7.42, and the urease activity was 63.38 U. In the study on urease properties of this strain, when pH = 8, temperature was 50°C, salt concentration was 60 g/L, and urea concentration was 50 g/L, urease activity reached 137.52 U, increasing by 116.98%. It was found that the urease activity remained at 73.53% when the salt concentration reached 150 g/L. It was found by response surface method that glucose, ammonium sulfate and sodium chloride were the key factors affecting urease activity of the strain. After response surface optimization, the urease activity reached 93.628 U, increasing by 47.72%. This is of great significance to the wastewater treatment of high-salt urea and has a broad application prospect in the sewage treatment of ships.
Study on Dynamic Characteristics of Unsaturated Strongly Weathered Sericite Schist Residual Soil
Authors: Guang-ying Nie , Yu Xia , Qing-wen Zhang 
Published: February 2021

Abstract
Sericite schist residual soils are widely distributed on the shallow surface of western Yunnan, and most of them are in an unsaturated state. In order to study its dynamic characteristics, a resonance column tester was used to target the strongly weathered unsaturated sericite schist residuals in the Dali Railway. The soil carries out dynamic characteristic test to study. The results show that the confining pressure has a great influence on the dynamic characteristics of the specimen, the dynamic shear modulus increases with the increase of the confining pressure, the phenomenon that the damping ratio decreases with the increase of shear strain is more obvious. Using the Hardin-Drnevich model can better fit the dynamic shear modulus with shear strain. The application of the improved linear equation can better describe the relationship and analyse its mechanism.
Technical Application of Machine-made Sand in the Production of the Commercial Concrete
Authors: Xu Han , Chen Xiaobin , Dang Wei , Guo Xiujuan , Guan Jican , Li Jianrong , Xiong Qiumin 
Published: February 2021

Abstract
With the lack of natural sand and stone resources, machine-made sand will be widely used in the building materials industry. By adjusting the proportion of machine-made sand and river sand, the application of using the machine-made sand in C30 and C50 concrete was explored. The results indicate that the proportion of machine-made sand is 40% in C30 concrete, which makes the concrete show the best performance and the maximum compressive strength. In C50 concrete, as the proportion of machine-made sand increases, the initial dispersion of concrete gradually decreases, the loss of dispersion increases, and the working performance of concrete decreases. It is worth noting that, regardless of the proportion of machine-made sand, the performance of concrete mixed with machine-made sand is higher than that of concrete prepared with pure river sand at 3d, 7d, and 28d.
Optimization of Halomonas Denitrification in Seawater Substrate
Authors: Zhou Zepeng , Li Jian , Liu Weifeng , Zhang Linghua 
Published: February 2021

Abstract
This paper studied the effects of carbon source types, carbon-nitrogen ratio, pH and salt concentration on the denitrification of Halomonas bacteria under high-salt conditions to optimize the denitrification performance of mixed Halomonas bacteria. When the initial carbon source is glucose, the carbon to nitrogen ratio is 5:1, the pH is 7.2, and the salt concentration is 30 g/L, the maximum denitrification rate of mixed bacteria is only 19.92%. By optimizing the carbon source, the nitrogen removal rate can reach 69.25% at 72 h, which is about 49% higher than that before optimization. Under the optimal conditions with trisodium citrate as the carbon source, the carbon-to-nitrogen ratio is 5:1, the pH is 8 and the salt concentration is 60 g/L, the denitrification rate of the mixed bacteria in the seawater matrix is higher than before optimization 282%. Carbon source, carbon-nitrogen ratio, pH and salt concentration will all affect the denitrification of Halomonas bacteria. By optimizing them, it can greatly improve the denitrification of Halomonas bacteria under seawater substrate conditions.
On the Planning Methods for Sustainable and Comprehensive Utilization of Water Resources in the Green Ecological Urban Area:An Empirical Study on a Green Ecological Urban Area in Jiangsu, China
Authors: Xu Bin , Yuan Xiang 
Published: February 2021

Abstract
The study on comprehensive utilization planning of urban water resources for sustainable development is one of the important contents of urban green ecological adaptive development and construction. The sustainable water system in the green ecological urban area has to make systematic analysis and overall planning of various elements of urban water system. From the perspective of urban water supply, water use, drainage, flood control and drainage and comprehensive utilization of water resources that require organic coordination, this paper forms systematic planning methods combining the computing method for water environmental carrying capacity with the construction of a capacity control model for water resources in the green ecological urban area. With the proposed strategic measures for the sustainable and comprehensive utilization of water resources in the green ecological urban area, this paper aims to achieve high quality and efficient water ecology, water security and water environment and eventually realize the organic coordination of nature and artificial system as well as the harmonious development between man and nature.
Flower image classification based on generative adversarial network and transfer learning
Authors: Li Xiaoxue , Lv Rongxin , Yin Yanzhen , Xin Kangkang , Liu Zeyuan , Li Zhongzhi 
Published: February 2021

Abstract
Aiming at the problem that the classification accuracy of the traditional flower classification method is low and the deep neural network requires a large amount of original data. This paper designs a flower classification model that combines generative adversarial network and ResNet-101 transfer learning algorithm, and uses stochastic gradient descent algorithm to optimize the training process of the model. The experimental results on the the international public flower recognition dataset, Oxford flower-102 dataset, show that by enhancing the original data, the accuracy of the network's recognition and classification of flowers is improved. At the same time, the model proposed in this paper is superior to other traditional network models, with higher recognition accuracy and robustness.