bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancement of the mechanical and thermal transport properties of carbon nanotube yarns by boundary structure modulation
Authors: Shikata Ryo , Suzuki Hiroo , Hayashi Yuta , Hasegawa Taisuke , Shigeeda Yuho , Inoue Hirotaka , Yajima Wataru , Kametaka Jun , Maetani Mitsuaki , Tanaka Yuichiro , Nishikawa Takeshi , Maeda Satoshi , Hayashi Yasuhiko , Hada Masaki 
Published: February 2022

Abstract
Carbon nanotubes (CNTs) exhibit extremely high nanoscopic thermal/electrical transport and mechanical properties. However, the macroscopic properties of assembled CNTs are significantly lower than those of CNTs because of the boundary structure between the CNTs. Therefore, it is crucial to understand the relationship between the nanoscopic boundary structure in CNTs and the macroscopic properties of the assembled CNTs. Previous studies have shown that the nanoscopic phonon transport and macroscopic thermal transport in CNTs are improved by Joule annealing because of the improved boundary Van-der-Waals interactions between CNTs via the graphitization of amorphous carbon. In this study, we investigate the mechanical strength and thermal/electrical transport properties of CNT yarns with and without Joule annealing at various temperatures, analyzing the phenomena occurring at the boundaries of CNTs. The obtained experimental and theoretical results connect the nanoscopic boundary interaction of CNTs in CNT yarns and the macroscopic mechanical and transport properties of CNT yarns.
A power-balance model for the L-mode radiative density limit in fusion plasmas
Authors: Zanca P , Sattin F , Escande D F , Auriemma F 
Published: February 2022

Abstract
A 1D cylindrical power-balance model of the radiation density limit (DL) gives a unified description of this phenomenon for stellarators, reversed field pinches and L-mode tokamaks (Zanca et al 2019 Nucl. Fusion
59 126011). The DL scaling laws for the three different configurations are all derived from a combination of just two equations: (a) a single-fluid heat-transport equation; (b) on-axis Ohm’s law with Spitzer resistivity, taken in a suitable limit for the stellarator. Here, we present a refined version of the model, alongside further experimental evidence supporting its successful application.
Advanced experimental-based data-driven model for the electromechanical behavior of twisted YBCO tapes considering thermomagnetic constraints
Authors: Yazdani-Asrami Mohammad , Sadeghi Alireza , Seyyedbarzegar Seyyed Meysam , Saadat Amirhossein 
Published: February 2022

Abstract
Data-driven models can predict, estimate, and monitor any highly nonlinear and multi-variable behaviour of high-temperature superconducting (HTS) materials, and superconducting devices to analyse their characteristics with a very high accuracy in an almost real-time procedure, which is a significant figure of merit as compared with traditional numerical approaches. The electromechanical behaviour of twisted HTS tapes under different strains, magnetic fields, and temperatures is a complicated problem to be solved using conventional approaches, including finite element-based methods, otherwise, experimental testing is needed to characterise it. This paper aims to offer a data-driven model based on artificial intelligence techniques to predict the electromechanical behaviour of HTS tapes operating under various thermomagnetic conditions. By using the proposed model, normalised critical current value and stress of twisted tapes can be predicted under different temperatures and magnetic flux densities. For this purpose, experimental data were used as inputs to design an adaptive neuro-fuzzy inference system (ANFIS). To achieve the best performance of the prediction system, multiple clustering methods were used, such as the grid partitioning method, fuzzy c-means clustering method, and sub-clustering method. Sensitivity analyses were conducted to find the best architecture of ANFIS to predict and model electromechanical behaviour of twisted tapes with high accuracy.
Quantum consensus dynamics by entangling Maxwell demon
Authors: Ryu Sungguen , López Rosa , Toral Raúl 
Published: February 2022

Abstract
We introduce a Maxwell demon which generates many-body entanglement robustly against bit-flip noises, allowing us to obtain quantum advantage. Adopting the protocol of the voter model used for opinion dynamics approaching consensus, the demon randomly selects a qubit pair and performs a quantum feedback control, in continuous repetitions. We derive upper bounds for the entropy reduction and the work extraction rates by the demon’s operation. These bounds are determined by a competition between the quantum–classical mutual information acquired by the demon and the absolute irreversibility of the feedback control. Our finding of the upper bounds corresponds to a reformulation of the second law of thermodynamics under a class of Maxwell demon which generates many-body entanglement in a working substance. This suggests that a general condition for the operation of a successful entangling demon, one for which many-body entanglement stabilization and work extraction are possible, is that the information gain is larger than the absolute irreversibility.
Enhanced magnetic properties of SrFe12O19 through exchange-coupled nanocomposite
Authors: Lamouri R , Fkhar L , Mounkachi O , Mahmoud A , Boschini F , Hamedoun M , Salmani E , Kim K H , Ali M Ait , Benyoussef A , Ez-zahraouy H 
Published: February 2022

Abstract
This work presents the synthesis and characterization of hard/soft (1-x)SrFe12O19/xCoFe2O4 exchange-coupled nanocomposites with x = 0.0, 0.05, 0.1, and 0.2 using the conventional coprecipitation and ball milling preparation methods followed by heat treatment. CoFe2O4 material was used as a soft magnetic material when the effects of its concentration on the structural and magnetic properties of the obtained nanocomposites were investigated using different characterization techniques. Structural and microstructural analyses showed the presence of both spinel ferrite and the M-type hexaferrite phase. Single-phase magnetic loops were observed for the prepared nanocomposites, indicating an exchange coupling interaction between CoFe2O4 and SrFe12O19 phases. To support this finding, a Henkel plot was performed, which revealed the presence of strong exchange coupling interaction in CS5 compared to CS10, unlike CS20, where the dipolar interaction is dominant. The obtained results demonstrate the possibility of enhancing the (BH)max of the M-type strontium hexaferrite through an exchange-coupled nanocomposite, using a simple and reproducible synthesis process with a small content of the soft magnetic phase.
Study on the handheld monitoring equipment and the supervisory method for transportation loss of oil tank trucks
Authors: Zhizhou He , Zuobi Wang , Hua Ma , Shideyi  , Hejingbin  , Zhaoxia Mu , Yuanbo Bai 
Published: February 2022

Abstract
At present, the oil of oil fields in remote areas and well sites without petroleum pipeline are mainly transported by oil tankers. Oil will spill and be stolen during the process of transportation, resulting in a large difference between the amount of oil loaded at first and the amount of oil unloaded in the end. The traditional method is to measure and print the bill when loading oil, not to re-measure when unloading oil, and to pay according to the bill, which causes great economic loss. Aiming at tackle this problem, this paper designs and realizes a handheld monitoring device and supervision method for the transportation loss of oil tanker. It integrates EEPROM, RTC real-time clock, PCF8563T memory, LED display lamp, LCD1602 display screen and speakers, and communicates and transmits oil quantity information with primary instruments of oil pumping equipment and oil unloading equipment, the information stored by the device can be read by the communication software of the host computer, and the information can be analyzed, calculated and settled accurately by the management software of the host computer. It can effectively prevent oil leakage and oil stealing during transportation.
Optimal control of high speed unmanned vehicle path tracking
Authors: Fan Shengwen , Xie Tao , Chen Zhigang , Hu Xuan , Gao Lei 
Published: February 2022

Abstract
In order to ensure the accuracy and stability of tracking control of driverless vehicle at high speed, an improved model predictive control method was designed. First of all, for the current high-speed unmanned vehicle tracking control field, there is little research and the tracking accuracy is poor. Starting from the three-degree-of-freedom vehicle dynamics model, by analyzing the vehicle yaw stability, the model is added with envelope constraints, and the linear time is derived. The variable path tracking controller model is designed with or without additional constraints. Through Matlab and CarSim co-simulation, it is shown that the MPC controller with envelope constraint has higher tracking accuracy than the ordinary MPC controller, and the vehicle has better robustness to the road adhesion coefficient, and the vehicle driving stability is significantly improved.
Numerical Study on the Effect of Transverse Baffles on the Stability of Iron Concentrate in a Cargo Hold
Authors: Wang Anqi , Zhang Jianwei , Wang Zhanwei 
Published: February 2022

Abstract
Cargo fluidization is one of the main causes of ship capsizing accidents, which has been concerned by International Association of Classification Societies. Iron concentrate is regarded as the research object, its movement in the cargo hold is simulated using discrete element method. To effectively reduce the sloshing amplitude of cargo in the cargo hold, four conditions that considering the transverse baffles are designed. The stability of cargo is analyzed in detail from the offset of cargo gravity center and the contact force on the bulkhead induced by the cargo movement. Numerical simulation results show that the installation of transverse baffles can effectively reduce the sloshing amplitude of cargo in the cargo hold. Especially, it can better restrain the variation of center of gravity of cargo in the y-direction. The study focuses on the influence of baffles with different lengths on the stability of cargo in the cargo hold, which can provide a reference for the prevention of bulk carrier accidents.
Cooperative control mechanism of key objects and key nodes of dry bulk terminal
Authors: Shi Hankun , Wang Xuelin , Zhang Zhaolun 
Published: February 2022

Abstract
Based on the operation process of dry bulk terminal and according to the unique process characteristics of dry bulk terminal, this study combs the specific distribution of key objects and key nodes of dry bulk terminal. Based on the analysis of the process mechanism and interactive information of dry bulk terminal, the collaborative control mechanism of key objects and key nodes is studied, which creates a certain theoretical framework for the automation and intelligent design of dry bulk terminal.
Dynamic regulation method of distributed generation in distribution network under 5G network
Authors: Chen Duanyun , Li Yuanjiu , Bai Jie , Zhang Hongpo , Xie Shimulin , Tang Zeyi , Liu Xujie 
Published: February 2022

Abstract
Aiming at the problem of uneven power flow distribution caused by distributed power supply access, which leads to high voltage deviation and active network loss, a dynamic control method of distributed power supply in 5G network is proposed. The distributed topology structure of the distribution network under 5G network is generated, and the static topology information is extracted to establish the power partition. The distribution network in each area is connected to its own bus through different feeders. The distribution network reconstruction period is divided in the partition, and the network reconstruction period and the corresponding switch action scheme are determined. The state of distributed power supply was estimated according to reconstruction period and active/reactive power balance index, and the stability of dynamic control was determined. Based on the stability control, the dynamic control model of distributed power supply is established, and the network voltage can reach the preset target by adjusting the power of power switch. The simulation results show that the average voltage deviation of the proposed control method is 1.976, which is 4.431 and 3.783 lower than those based on data drive and flexible load regulation, respectively. The active power network loss of the control method in this paper is 0.342 MW, which is 0.385 MW and 0.346 MW lower than that of the control method based on data drive and flexible load regulation, respectively. Therefore, this method can improve the absorption capacity of distributed power supply and promote the power flow reciprocity of distribution network.
Forecasting Method of Energy Demand of Integrated Energy System Considering Seasonal Catastrophe
Authors: Hua Qingsong , Li Qiang , Gao Shengyu , Liu Yongqing , Zhu Hong , Zhu Zhengyi , Shuai Qilin 
Published: February 2022

Abstract
The change of season will cause a variety of factors affecting energy demand to change, resulting in severe fluctuations in energy demand. Accurate prediction is of great value for energy management. Therefore, a prediction method of energy demand of integrated energy system considering seasonal mutation is proposed. Based on the analysis of the basic concepts, attributes and influencing factors of energy and energy demand, a seasonal energy demand impact decomposition model is constructed by lmdi-i to decompose the impact of season on energy demand. By dividing the energy indicators of the integrated energy system, a fuzzy neural network with error output and correction mechanism is established to predict energy demand. The test results show that the maximum relative error of the prediction results of the design method is 5.89%, the minimum relative error is 1.03%, the average absolute error is 3.21%, the root mean square error is 0.019, and the hill inequality coefficient is 0.020. Are better than the comparison method.
Research status of partial discharge detection of power transformer based on pulse current method
Authors: Sun Jiahao , Pan Shuyan , Deng JinZhao 
Published: February 2022

Abstract
There are many important equipment running in the power grid, and the power transformer is one of them. It plays an extremely important role in the stable operation of the power system. Therefore, whether the power transformer can operate safely and stably becomes particularly important. When the power transformer is running online, partial discharge will occur if there are insulation defects, which will further develop into breakdown without timely detection and treatment. The insulation inside the transformer often has certain defects and produces certain partial discharge, and the partial discharge signal is often a high-frequency pulse signal. In this paper, the definition of partial discharge, the generation process of pulse current and the detection method of transformer partial discharge based on pulse current method will be introduced in detail. Several common methods are combed and summarized, the current development status of pulse current method is introduced, and the possible research direction in the future is prospected.
Optimal Control Measures For Dynamic Stability Level Of Northeast Power Grid
Authors: Lu Shi xuan , Shao Yang di , Ye Peng , Sun Tian he , Wang Xue jie , Zhang Hong peng , Li Chun shan 
Published: February 2022

Abstract
Due to the rapid development of new energy such as nuclear power at the transmission end of Northeast power grid, the improvement of transmission capacity of Lugu UHVDC and the large-scale development of power base, the problem of dynamic stability of Northeast Power Grid has surfaced. Based on the reality of Northeast power grid, this paper deeply and carefully carries out the dynamic stability level analysis of Northeast power grid from three aspects of source, network and load, studies the effective methods and measures to improve the damping ratio and robustness of main vibration modes between power grid regions, takes into account the scientificity, systematicness and scientificity of the measures, and provides reference for domestic and foreign related grid operation.
A Method of Integrated Energy Metering Simulation Data Generation Algorithm Based on Variational Autoencoder WGAN
Authors: Zhang Penghe , Xue Yang , Song Runan , Yang Yining , Wang Cong , Yang Liu 
Published: February 2022

Abstract
With the development of integrated energy systems, the penetration rate of all types of distributed power sources continues to increase. In a grid oriented to integrated energy metering, the metering business of different energy sources needs to fully consider the dynamic characteristics of different user loads. This paper aims at the generation of large-scale integrated energy metering data in large-scale integrated energy digital simulation technology, starting from supporting the construction of an integrated energy metering simulation system, combining various business applications and artificial intelligence technology under the background of the energy Internet. For the requirements of energy metering simulation, a method of integrated energy metering simulation data generation based on variational autoencoder WGAN is proposed, and the effect of the method proposed in this paper is verified through actual metering scene data.
Research on the Semantic Composite Network Recognition Method of Power Distribution DTU Automation Acceptance Virtual Seat System
Authors: Liu Hongwei , He Yuwei , Jiang Jian , Liu Xingye , Cui Haoyang 
Published: February 2022

Abstract
Aiming at semantic inaccurate recognition problem caused by the lack of professional vocabulary in the existing corpus, a composite network recognition method for the semantics of the power distribution DTU acceptance virtual agent system is proposed. This method is used to extract and merge the entity, attribute and relationship information of power equipment from multiple data sources to construct a power distribution DTU acceptance knowledge graph. In addition, the graph database is the main body and the SQL database is the extension, and the corpus is stored in a distributed manner. The acceptance test results show that the overall recognition rate of the system platform for the instructions issued by the acceptance personnel in the complex environment is 92.8%, which reduces the acceptance time by more than 70%.
Study on insulation performance optimization of EMU high-voltage equipment box
Authors: Li Chao , Lin Lin , Qu Weidong 
Published: February 2022

Abstract
The EMU high-voltage electrical equipment on the roof not only bears the erosion of various harsh and extreme environments, but also bears the impact of various over-voltage, and the insulation performance of the electrical equipment on the roof is seriously threatened. This paper studies the insulation optimization design method of EMU high-voltage electrical equipment, puts forward the method of adding a certain length of insulating sheath on the electrical equipment to improve the insulation performance of high-voltage equipment box, and tests the insulation optimization measures on high-voltage circuit breaker and EMU high-voltage cable. The result shows that the installation of insulating sheath is feasible to improve the insulation performance of EMU high-voltage equipment box.
Effect of surface treatment materials on frost resistance of damaged concrete
Authors: Li Tianlun , Wu Yonggen 
Published: February 2022

Abstract
In order to study the effect of silicate infiltration agent, tetraethyl orthosilicate and nano-SiO2 surface treatment materials on the freezing resistance of damaged concrete, the peeling condition of damaged concrete after soaking in salt water was tested by single-side freeze-thaw method. The results showed that tetraethyl orthosilicate and silicon infiltration agent can effectively improve the damaged concrete frost resistance and can reduce the 7 d water quantity of concrete, the most significant is the effect of tetraethyl orthosilicate, 7 d water quantity reduced rate of 65%, after 28 times freeze-thaw cycle exfoliation volume is 679 g/m2. Silicon infiltration agent surface treatment also has a good effect, can increase the number of freeze-thaw cycles 8 times. Nano-SiO2 has the worst treatment effect and can not improve the number of freeze-thaw cycles of damaged concrete.
A fault-tolerance control method of load frequency based on reverse behavior reconstruction
Authors: Xue Fei , Zhang Hanhua , Zhang Shuang , Zhou Lei , Yang Ting , Li Hao 
Published: February 2022

Abstract
The access of a high proportion of renewable energy and the large-scale application of open sharing communication network are the two main characteristics of modern interconnected power grid. However, the tight coupling between the cyber and physical subsystem makes the malicious network attack and sudden physical failure more likely to cause the collapse of the interconnected power grid. Therefore, a reverse behavior reconstruction strategy is proposed, which does not need to obtain a priori fault information and only depends on the input and output measurements of the system, so as to realize fault tolerance as much as possible. The simulation experiments show that the proposed strategy can achieve the frequency fault tolerance and has better practicability and applicability under complex and diverse fault conditions.
Parallel Simulation of The Electromechanical Transient Phenomena of Power System via Modern Software Development Technique
Authors: Xie Yu , Wu Zhigang , Zhou Erzhuan 
Published: February 2022

Abstract
The simulation of power system electromechanical transient phenomena is highly dependent on the knowledge and model of special domain. For this reason, traditional parallelization of the simulation must be coupled with concrete algorithm and code. In this paper, a parallelized electromechanical transient simulation program is proposed based on the open-source simulation engine called InterPSS and general open object-oriented modelling framework. The correctness and effectiveness of this framework have been verified by a large-scale simulation case.
Characterization and Modeling of SiC MOSFET Modules for High-voltage Applications
Authors: Hao Yi , Li QingPing , Xu YunFei , Cui Lǜ , Li WeiGuo , Lu JuanJuan 
Published: February 2022

Abstract
This paper presents a detailed characterization and modeling of 6.5kv SiC MOSFET half-bridge module. Based on the equivalent circuit topology, the model parameters are extracted from the data manual and test data, and the behavior model is constructed to describe the static and dynamic characteristics of the device. This paper used behavioral model functions, and carries out parameter extraction and model fitting for new devices. The model is verified by double pulse test under inductive load. The verification results show that the modeling work is correct and effective, it can predict the switching performance of devices in high voltage applications.
Evaluation Method of 500kV Transformer Bushing Insulation State Based on Active Power Loss
Authors: Gu Zhaoliang , Xu Ran , Li Zhen , Li Xiaolei , Wang Yaguan , Xu Wei , Yi Feng , Gao Zhixin 
Published: February 2022

Abstract
The bushing is one of the most important components of power transformer, and it is very important to find the internal defects of bushings as soon as possible, effectively and accurately diagnose its insulation state information. In this paper, the active power loss of 500kV transformer bushings have been analyzed, and the insulation state evaluation method based on active power loss is proposed. To verify the feasibility of evaluation method, one abnormal 500kV transformer bushing was selected to analyze its insulation state. The result shows that this method can be used as a powerful complement to tarδ.