bluuebunny/crossref_metadata_2025_split huggingface dataset:
Short-term power load forecasting based on ARIMA-LSTM
Authors: Zhou Ruiyan , Zhang Xingchen 
Published: August 2024

Abstract
Accurate short-term forecasting of power load demand has become increasingly crucial in the field of electric systems due to the continuous development of society. This paper utilizes the ARIMA and the LSTM algorithm to forecast the future 24-hour electricity load of a region. The coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE), and mean absolute precision (MAPE) are utilized as model performance indexes. The prediction results for this data show indicator values of 0.843, 576.233, 435.423, and 6.964 for the ARIMA model, and 0.970, 243.86, 185.80, and 2.859 for the LSTM method. An improved ARIMA-LSTM model is then proposed, with weights assigned based on the magnitude of the errors predicted by the two models in the training set. Finally, the prediction results are obtained using the weights. The index values of the improved method are 0.9732, 241.39, 36.78, and 2.828. These indicate that the ARIMA-LSTM model outperforms the first two models.
PSO-optimized fuzzy MRAS control for permanent magnet synchronous motorized spindle
Authors: Lu Dongxi , Shan Wentao , Yun Zhiheng , Cao Weichang 
Published: August 2024

Abstract
With the widespread adoption of Permanent Magnet Synchronous motorized spindles in industrial applications, the demand for their precise control has escalated significantly. However, within the realm of sensorless control strategies, traditional Model Reference Adaptive Systems (MRAS) exhibit certain shortcomings, such as the complexity of parameter tuning and a heightened sensitivity to external disturbances. Addressing the deficiencies of traditional model reference adaptive systems (MRAS) in sensorless control of permanent magnet synchronous motorized spindle, this paper introduces a speed estimation strategy based on a PSO-optimized fuzzy MRAS. Fuzzy MRAS is devised using fuzzy theory on the foundation of a stator current model-based MRAS, eliminating the need for tuning the Proportional-Integral (PI) adaptive mechanism. Furthermore, the particle swarm optimization (PSO) algorithm is applied to optimize relevant parameters within the fuzzy MRAS, enhancing its dynamic performance and robustness. Simulation experiments demonstrate that the designed PSO-optimized fuzzy MRAS observer exhibits superior tracking performance across various speed ranges and in the presence of external disturbances.
Numerical simulation of local electric field distribution in epoxy/alumina nanocomposites at LN2 temperature
Authors: Wang Yongguang , Sun Bo , Guo Fen , Fu Changzhao , Ding Zhifu 
Published: August 2024

Abstract
Epoxy-based nanocomposites with excellent insulation characteristics are attracting extensive attention as a new insulating material for superconducting transmission. However, it is difficult to design the composite insulation layer of cables owing to limited knowledge of the local electric field distribution in nanocomposites at cryogenic temperatures. In this work, a numerical investigation of local electric field distribution in epoxy/alumina nanocomposites at room (298 K) and liquid nitrogen (LN2) temperature (77 K) was conducted under the COMSOL Multiphysics environment. Typical needle-plate electrode configuration and thermal and static electric field coupling are constructed. Based on the simulation results, it is shown that electric field distortion may occur near the needle tip due to the difference in dielectric permittivity between alumina and epoxy matrix; however, the distortion brought on by the nanoparticle and its hindering effect limit each other. The maximum electric field does not always increase with the enhancement of filler contents. Cryogenic environments can change the electric field distribution in nanocomposites but not independently in pure epoxy. In the nanocomposites, cryogenic environments do not effectively limit partial discharge by changing the electric field distribution. Its greater contribution is to limit the movement of molecular chains and work with the nanoparticles to transfer the heat generated by partial discharge.
The responsibility allocation method for overvoltage problem in distribution network with large-scale distributed photovoltaics integration based on the improved Shapley value
Authors: Li Jun , Yang Chen , Lu Zhou , Chen Jianhua , Chen Yizhi 
Published: August 2024

Abstract
Aiming at the node overvoltage problem due to distributed PV generation large-scale integrated into the distribution network, an improved overvoltage apportionment method is proposed to determine the overvoltage responsibility of each PV generation system. Based on the node Shapley value calculation with the voltage loss function, the influence factor of the distribution network is derived, and the improved Shapley value correction factor is obtained by using the gray correlation analysis method. The improved Shapley value is used to calculate the overvoltage responsibility. The nodes with a similar voltage change trend, in the calculation example of the PG&E-69 node distribution system, can be combined to reduce the calculation burden. The simulation results show that the improved Shapley value is more fair and reasonable than the Shapley value, considering the influence of all factors comprehensively.
Electromagnetic composite field analysis of underwater sound source based on fast Fourier transform
Authors: Gao Sibo , Wang Ying , Zhang Qiang , Sun Zhigang , Tang Pishi , Wu Di 
Published: August 2024

Abstract
This article demonstrates the complete transient analysis of speaker drivers, supporting the modeling of nonlinear effects. The simulation analysis includes the nonlinear characteristics of soft iron in the magnetic system, geometric nonlinearity in the structure, and the nonlinear effects caused by topological changes when the voice coil enters and exits the magnetic gap. By constructing the model, dividing the mesh, simulating the magnetic field in and around the voice coil gap, calculating the distribution of sound pressure level and the relationship between the dynamic force factor and the relative position of the voice coil, the spectrum analysis of the output signal was completed based on the fast Fourier transform.
Research on equivalent modeling of wideband dielectric response of oil-paper insulation based on the Kramers-Kronig transform
Authors: Lin Xinliang , Zou Yang 
Published: August 2024

Abstract
To address the limitations of the Debye model and its derived models in effectively capturing the microscopic properties of dielectric materials, this study focuses on the wideband dielectric response of oil-paper insulation and conducts equivalent modelling research. Firstly, the Kramers-Kronig (K-K) transform is applied to extract the independent spectra of the conductivity process, non-dispersive polarization process, and relaxation polarization process within a wide frequency band, clarifying the composition of the broadband dielectric response of oil-paper insulation. Then, based on the spectral analysis results, electrical units are selected to construct the equivalent model. Finally, a method combining the K-K transform with the Grey Wolf Optimization (GWO) algorithm for model parameter identification is proposed. The study demonstrates that under the influence of a wideband alternating electric field, oil-paper insulation exhibits the conductivity process, low-frequency dispersive response, relaxation-peak type response, and non-dispersive polarization process. Based on this finding, the proposed equivalent model for dielectric response effectively characterizes the complex polarization processes of oil-paper insulation, providing the necessary model foundation for the analysis of dielectric responses.
Analysis of electromagnetic denial technology and characteristics
Authors: Kong Lingmin , Zeng Sha , Chen Lei , Cao Mengdi , Liu Kang , Wang Geng 
Published: August 2024

Abstract
Electromagnetic denial is a new type of combat style, and the comprehensive analysis of its technology and characteristics is of great practical significance. At present, research on electromagnetic denial warfare is still in its early stages. The paper first analyzes and explains the important value of electromagnetic denial from the basic connotation. Then, based on the idea of electromagnetic denial, the key technologies of electromagnetic denial warfare are discussed from three aspects: reconnaissance, interference, and defense. Finally, the characteristics of electromagnetic denial warfare are analyzed from the aspects of technical characteristics, tactical characteristics, and system characteristics. The paper provides a reference for the technical and tactical application of electromagnetic denial.
Online software design for short-term load forecasting based on design patterns
Authors: Li Hong , Li Beicun , Chen Yanming 
Published: August 2024

Abstract
In response to the limitations inherent in methodologies reliant upon manual operations and practical experiences, commonly employed within the domain of load forecasting, such as convoluted operational procedures and suboptimal accuracy rates, this study introduces a novel online short-term load forecasting software solution. The developed software leverages cross-platform programming languages, notably Java and Python, alongside an object-relational mapping (ORM) framework to encapsulate database interactions, while adopting a browser/server (B/S) architecture. Furthermore, the software’s development process incorporates appropriate design patterns from object-oriented design (OOD), establishes an exception-handling architecture, and adheres to principles of test-driven development (TDD) to uphold superior software quality standards. Upon completion of construction and rigorous testing, the online short-term load forecasting software exhibits exceptional responsiveness to evolving functional requirements, thereby demonstrating its adaptability and scalability. Furthermore, its sustained operation over an extended duration underscores both its engineering feasibility and intrinsic software quality.
A comprehensive diagnostic method for UHVDC commutation failure considering the influence of AC/DC coupling
Authors: Zhuang Zengbao , Xiao Huafeng 
Published: August 2024

Abstract
Commutation failure is one of the most common faults in Ultra High Voltage Direct Current (UHVDC) systems. As voltage levels and transmission capacities continue to increase, the degree of coupling between AC and DC intensifies, making the commutation failure problem more complex. Identifying the source of failure is of significant practical value in enhancing the operational reliability of UHVDC systems. A comprehensive diagnosis method for UHVDC commutation failure considering the impact of AC/DC coupling is proposed in the article. Firstly, the fault types are classified based on the commutation failure ledger within the converter station. The variation in AC voltage is utilized to trace the fault layers and types of AC grid faults under interlayer coupling. The ratio of the integrated change in bipolar DC current is employed to select fault poles under intrapolar coupling. Building upon the analysis of the interaction between AC and DC coupling, a comprehensive diagnostic method for commutation failures is presented. Finally, the correctness and effectiveness of the proposed method and criterion are verified through calculation and analysis of on-site recording data, providing a practical method for locating the source of commutation failure faults.
Degradation of springs used in high-voltage breaker under the simulated operating conditions
Authors: Yang Mingkun , Qiu Pengfeng , Yang Kun , He Xiaohui , Peng Zhaoyu , Zhou Fangrong , Hu Guangfu , Zhang Yun , Luo Jie 
Published: August 2024

Abstract
As a key part of high-voltage breakers, spring actuators are widely used for their advantages of simple structure, rapid response, and no pollution. As the energy storage unit, the spring is prone to stress relaxation and fatigue fracture due to the complex manufacturing process, large working load, long serving time, and environmental impact. To address these issues, the degraded characteristics of the typical 60Si2CrVA alloy steel spring were studied in the simulated working conditions, and the influence of different temperature, humidity, and salt spray conditions on the performance of the spring was analyzed. The results show that temperature and salt spray corrosion are two of the main factors to affect the mechanical performance of the spring. As the temperature increases, the maximum stress loss rate of the spring increases quickly in the initial stage and then gradually keeps stable in the second stage. Under corrosive conditions, the springs are more likely to reach the stress relaxation rate threshold in a short time. For the life prediction of springs, the mathematical model was constructed by an adjusted Arrhenius equation to fit the experimental data, and calculate the numerical parameters of the spring under different environmental conditions. It is found that the service life of the spring is about 28.51 years when running at 30°C with a stress relaxation threshold of 6%.
Direct torque control of dual three-phase permanent magnet motor based on improved duty cycle calculation
Authors: Wu Yutao , Zhang Yi , Cui Jia 
Published: August 2024

Abstract
The multiphase permanent magnet synchronous motor (PMSM) has the following advantages: compact construction, strong fault tolerance, high power density, and small torque ripple. The motor is extensively applied to various fields, including military and electric vehicles. In this paper, a direct torque control (DTC) strategy is proposed based upon combining synthetic virtual vector and duty cycle modulation to address the drawbacks of large current harmonics and high motor losses during the traditional DTC process of dual three-phase PMSM. Building upon the conventional torque deadbeat principle, the duty cycle of the voltage vector can be worked out. Therefore, a duty cycle calculation approach is put forward on the grounds of reference torque prediction, which accurately estimates the torque demand of the motor during each sampling period, enabling the control system to more accurately calculate the appropriate duty cycle to meet real-time torque requirements. Through simulation, it is exhibited that this approach can efficiently lessen harmonic current and torque ripple while maintaining the advantages of traditional DTC.
Adaptive finite-time sliding mode control of robot manipulators with possible actuator failures
Authors: Wang Chenxi , Zeng Yong , Tang Haifeng , Zhang Yuping 
Published: August 2024

Abstract
In this paper, we present an adaptive finite-time fault-tolerant control scheme for a class of robot manipulators with total loss-of-effectiveness actuator failures. First, to accommodate the uncertainties caused by unknown failures, a novel decoupling method is developed to separate the uncertain fault parameters and control input in dynamics. Furthermore, by utilizing an integral fast terminal nonsingular sliding mode control strategy, the output state will reach the vested sliding surface within the fixed time. In this sense, the position errors are limited to the preset range within the set time, while avoiding singularity problems. With our scheme, all signals are guaranteed to converge to zero in the robot manipulator closed-loop dynamics. Simulation and experiment results are displayed to verify the effectiveness of the controller.
Research and simulation of high-efficiency disturbance rejection speed control strategy for PMSM
Authors: Pan Feng 
Published: August 2024

Abstract
Aiming at the issue of degraded control performance of the permanent magnet synchronous motor (PMSM) in the servo system of a certain type of naval gun under high sea conditions, this paper proposes an improved sliding mode control strategy with an extended state observer. By introducing a new approaching rate, the high-frequency chattering problem in traditional sliding mode control is reduced. A disturbance observer is designed to estimate and compensate for motor parameter perturbations and load disturbances through feedforward compensation, further enhancing control accuracy. Finally, a simulation model is built using Matlab/Simulink to verify the superiority of the proposed control strategy, which is of great significance for improving the performance of the naval gun servo system.
Research on thermal control during gearshift in hybrid vehicles
Authors: Liu Yiqiang , Jing Junchao , Wang Zhentao , Huang Weishan , Yu Xuemei 
Published: August 2024

Abstract
Aiming to address the issue of elevated clutch surface temperature in hybrid transmission vehicles during large load power upshift, a comprehensive analysis is conducted on the impact of shifting stages on temperature rise. This paper analyzes the cause of excessive heat load of the clutch in the process of high torque power upshift, and the main factors affecting the production of slip work. Various calibration strategies are introduced to mitigate overheating problems during high torque power upshifts, followed by optimized calibration, and comparative real-world vehicle testing is also conducted. The test results demonstrate that this calibration method effectively resolves the challenge of excessive thermal load on different high-torque power upshift clutches while significantly enhancing drivability.
Trajectory tracking control of four-jointed robotic fish based on Udwadia-Kalaba theory
Authors: Chen Kun , Wang Yang , Wang Huitan , Xia Yuyong , Ding Haicheng 
Published: August 2024

Abstract
To improve the trajectory tracking control of the robotic fish driven by four-joint tail fins, the paper has established the dynamic model of four-joint tail fins on Udwadia-Kalaba theory and designed a sliding mode controller for trajectory tracking. Meanwhile, the stability of the robotic fish has been analyzed and discussed. A comparative study of the sliding mode controller and PID controller has been conducted on numerical simulation experiments. The results show the effectiveness and accuracy of the proposed control strategy. Compared with the PID controller, the sliding mode controller can converge to the desired value relatively quickly.
Analysis of photovoltaic operation characteristics and application of photovoltaic cells in Chongqing
Authors: Yang Xuemei , Li Hanjiang , Zeng Lingjian , Deng Bowen , Ren Tingting 
Published: August 2024

Abstract
In recent years, solar photovoltaic power generation has received great attention as a renewable energy technology. As an emerging market for photovoltaic power generation, China has ranked first in the world in installed capacity for four consecutive years since 2013. As a municipality directly under the central government and a mega city in the southwest region, Chongqing ranks last in the cumulative installed capacity of photovoltaic power generation statistics by the National Energy Administration among all provinces and cities in China. How Chongqing should respond to this situation, what is the application situation of photovoltaic power generation systems in Chongqing, whether they are worth promoting, and how to promote them are all urgent issues that need to be studied.
Design of vibration damping system and simulation study of vibration characteristics of mine personnel carrier chassis
Authors: Du Xianfeng , Liu Dawei , Sui Xi , Ma Xiyang , Li Shuai 
Published: August 2024

Abstract
To improve the smoothness of the vibration during the driving process of the mine personnel carrier, a simulation design study was carried out on the structure and vibration characteristics of the whole chassis system. First of all, through the vibration isolation test of the whole vehicle idling conditions suspension system, we clarify whether the vibration isolation effect is poor and determine the chassis suspension system design scheme. Secondly, the whole vehicle vibration model is used to describe the actual vibration characteristics of the mine personnel carrier, to clarify the correlation between the body center of mass vertical acceleration and suspension stiffness and damping, road excitation, and the center of mass position and other parameters, and to effectively obtain the vibration characteristics of the compartment and the smoothness of the whole vehicle through the simulation analysis of the center of mass acceleration. Finally, based on a reasonable configuration of the system’s inherent frequency and decoupling rate, optimizing the suspension stiffness as a variable and the decoupling rate as a target can effectively improve the vibration isolation performance of the suspension system. The design and simulation of the vibration characteristics of the chassis system for the optimization of the suspension system provides a design idea for the vibration isolation system of the compartment assembly of future mining engineering vehicles.
Analysis of energy storage operation and configuration in high percentage wind power electric system
Authors: Qiu Yujia 
Published: August 2024

Abstract
To promote new energy sources, energy storage in high wind power systems is crucial for green, efficient, and cost-effective electrical supply. We focus on timing this setup in electrical engineering. Our analysis minimizes unit electricity supply cost in a dynamic thermal power system using a heuristic genetic algorithm. Results under different carbon capture costs show unit electricity supply costs of 0.158 CNY to 0.231 CNY. For wind turbine units, a visualization method analyzes power generation profiles, finding an abandoned wind power of 80.452MW. Replacing a 3MW thermal power unit with a 300MW wind turbine reduces integration capacity by about 80MW. Considering abandoned wind power and load shedding, calculations reveal a wind power integration capacity of around 256MW. Using dynamic programming and supplying power at the lowest generation cost, we calculate unit electricity supply cost and related indicators. This analysis, supported by data, provides insights for optimizing energy storage in high wind power systems.
Design of robot inspection system for large converter station
Authors: Yang Shaoyuan , Yang Xuefei , Li Hongkun , Song Yang , Liao Zhixu 
Published: August 2024

Abstract
Aiming at the development of a modern power grid and the demand for automatic maintenance, a robot safety inspection system is designed for large converter stations based on infrared temperature measurement and robot technology. The system consists of a terminal detection layer, network transmission layer, and client receiving layer. Its control software provides information processing functions including monitoring preview, video playback, user information configuration, etc. After the preset position of the inspection robot is set, the system can automatically control the robot to capture and record the image of the power equipment in the converter station at a fixed time interval set the path, and transmit it to the background software for temperature data analysis, defect location, curve display and alarm. Through the experiment and test analysis in a converter station, the results show that the system has a stable operation effect, can operate normally in four modes of manual inspection, daily inspection, detailed inspection, and server hosting, and has strong anti-interference ability, which meets the expected design requirements.