bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of A Mobile Photovoltaic Direct-drive Refrigeration Compartment
Authors: Zhang Wenyuan , Shi Zhengrong , Zhang Tao 
Published: May 2023

Abstract
The large consumption of nonrenewable energy has caused energy shortages and environmental climate problems, and improper food storage has caused a large amount of food waste. To solve the problem of energy shortage and waste in grain transportation, a photovoltaic direct-drive refrigeration compartment based on apple transportation is designed. The design adopts a 15-foot refrigeration compartment and uses lightweight crystalline silicon PV modules to reduce the overall weight of the refrigeration compartment. According to the room size, eight parallel PV modules are selected for power generation. In conjunction with the PV modules, the rated power of the chosen compressor is 2.6 kW. Based on the storage conditions of apples, the design storage temperature is 0 °C, and HM-EO-2 is used as the refrigerant for cold storage. According to the transportation requirements of apples, the designed cold storage capacity of the cryogen should meet the 48h cold load. The mathematical models of the cold load of refrigeration compartments, refrigerant storage, and solar irradiation are established, which verify that the refrigeration system is correctly selected, and the critical parameters of the cold storage system are designed. It is calculated that the maximum hourly cold load and the daily total cold load of the refrigeration compartment are taken on June 29. The maximum hourly load is 1.355 kW, and the daily total load is 16.781 kW. The selected compressor can meet the real cooling demand.
Short-term power forecasting model based on GWO-LSTM network
Authors: Li Cong , Lu Renxiang 
Published: May 2023

Abstract
In view of the time-series characteristics of the grid load data, this paper proposes a method to predict electricity demand by optimizing a long-and short-term memory (LSTM) neural network model using the grey wolf optimization algorithm, taking into account the effects of time, weather conditions and holiday conditions on electricity loads. The model overcomes the disadvantage that the backpropagation through the time algorithm tends to converge to a local optimum. The experimental results show that the prediction results outperform those of the traditional LSTM for short-term electricity loads, providing a reference direction for future electricity forecasting models.
Power Cable Terminal Fault Detection Method Based on Infrared Thermal Imaging
Authors: Zheng Yang , Sun Baiqiang 
Published: May 2023

Abstract
According to the analysis results, most conventional power cable terminal fault detection methods use the time-domain joint analysis principle to determine whether the terminal has abnormal and fault-hidden dangers. Then, it carries out fault detection. The detection process is complex and time-consuming, and the cable terminal fault information cannot be obtained the first time. Based on this, infrared thermal imaging technology is introduced, and a new fault detection method is proposed. The method comprises the following steps. Firstly, acquire operation data of a power cable terminal and preliminarily judge whether the cable terminal is abnormal according to dynamic changes of conductive thermal resistance and convective thermal resistance of the terminal. Secondly, introduce an infrared thermal imaging technology on the basis and capture infrared rays radiated by the power cable terminal. Lastly, acquire temperature information of the surface of the terminal, combine the temperature with infrared ray quantity results in two directions, and make all-round detection of cable terminal faults. The experimental analysis indicates that the proposed cable terminal fault detection method can complete the fault detection in a shorter time. The detection time is shorter, and the efficiency is higher.
Research on Power Line Extraction and Modeling Technology Based on Laser Point Cloud
Authors: Yu Yongrui , Shi Lei , Ran Zhihong , Qiu Shi , Ou JinYong , Wu Shan 
Published: May 2023

Abstract
For the operation and maintenance management of Power Lines, this paper uses laser scanners to collect data from the research lines, and proposes a method combining random sampling consistency with Euclidean clustering to extract the traverse point cloud data. Firstly, the idea of random sampling consistency is used to eliminate a large number of ground points unrelated to target points. Secondly, Euclidean clustering is used to extract traverse and tower points, and then the tower and traverse are divided by combining tower coordinates and threshold. Finally, the polynomial model is used to construct a fitting traverse. The results show that this method can effectively extract the traverse points and accurately fit the traverse model, and it has certain applicability.
Transformer Vibration Signal Feature Extraction Based on Compressed Sensing and Wavelet Packet
Authors: Ning Xin , chi Wu , Xiao Lei , Zhu Ke 
Published: May 2023

Abstract
Transformers are important equipment in the power system. Aiming at the collection, transmission, storage, and processing of massive high-dimensional vibration data in the process of transformer vibration online monitoring, this paper proposes a transformer vibration signal feature extraction method based on compressed sensing and wavelet packets. Firstly, the PartHadamard measurement matrix is used to compress the transformer vibration signal, and then the characteristics of the transformer vibration signal are extracted based on the wavelet packet decomposition and normalized wavelet information entropy. The proposed method completes feature extraction on the measured vibration data of the transformer, and three classification algorithms are applied to carry out simulation experiments. The results show that the proposed feature extraction method can effectively extract the vibration characteristics reflecting the operating state of the transformer while greatly reducing the dimension of vibration data, which provides a reference for the online monitoring of transformer vibration.
Optimization of W-DCGAN Fault Diagnosis Method Based on Self-attention Mechanism
Authors: Sun Shilin , Lu Renxiang 
Published: May 2023

Abstract
Bearing component is the most important component of wind turbine, the harsh operating environment makes the bearing prone to failure, and the maintenance cost is very expensive when a failure occurs. Complex environmental noise brings serious noise pollution to fault samples. In addition, the serious sample imbalance between fault samples and normal samples brings great challenges to bearing fault diagnosis. In view of the above mentioned problems, this paper uses a self-attention mechanism optimization and Wasserstein distance improvement deep convolutional adversarial network model based on self-attention mechanism optimization and Wasserstein distance improvement deep Bearing fault diagnosis method based on the convolution generative Adversarial Network Model (SAW-DCGAN). The experimental results show that W-DCGAN has excellent generating ability and can generate samples like real samples to achieve the balance of samples. The addition of self-attention makes the classification features more expressive, and can accelerate the training speed of the model while having a higher fault diagnosis rate, which verifies the practicability of the method.
Performance Analysis of Beidou Precise independent point locationconsidering ISB parameters in complex Transmission Line Environment
Authors: Zhang Hui , Zhao Jian , Yu Jiangshun , Yu Rong , Liu Wei , Wang Di , Liu Dandan 
Published: May 2023

Abstract
This paper analyzes the inter-system deviation between B1I/B3I semaphores and B1I/B3I and B1C/B2a semaphores of Beidou-2 and Beidou-3 semaphores, and analyzes the precision single independent point locationperformance of Beidou-2 / Beidou-3 semaphores under the condition of B1I/B3I and B1C/B2a semaphores. Through the experiment, the system deviation parameters between B1C/B2a semaphores of the two satellite systems are greater than that of B1I/B3I semaphores, and both have good intra-day and inter-day stability. The participation of Beidou-3 satellite system can significantly improve the positioning function precision one point positioning of Beidou-2. The location astringent time is reduced by about 51.9%, and the positioning accuracy is increased by about 46.1%. Compared with B1I/B3I semaphores, after B1C/B2a semaphores of Beidou-3 participate in precision single independent point locationcalculation, the astringent time of precision single point location is greatly shortened. After estimating and correcting the system deviation parameters, the astringent time of static and dynami PPP of the two satellite systems is shortened by 8.8% and 12.6% respectively, and the positioning precision is promoted by 7.1%.
Research on optimization of power dispatching under the constraint of deviation electricity
Authors: Cheng Dan , Zhang Xiaoqing , Li Yujie , Zhu Lina , Tang Lei , Ye Xuwei , Xu Wei 
Published: May 2023

Abstract
In the medium- and long-term electricity market, uncertain power output, and power load will lead to the deviation between the actual generation and the signed medium- and long-term contract electricity. In order to reduce the system deviation balance cost and ensure the balance of power supply and demand, it is necessary to find a suitable dispatch method. First, a monthly electricity decomposition model of thermal power units is proposed in this paper. After that, we propose a power dispatching model under the constraint of deviated electricity quantity to minimize the cost of electricity deviation. The simulation results of numerical examples show that the proposed dispatching model and method can effectively reduce the monthly contract power deviation and the balance cost.
Temperature simulation of oil-immersed transformerbased on fluid-thermal coupling
Authors: Li Min , Yao Wei , Gao Xin , Ren Yan 
Published: May 2023

Abstract
The main components of the transformer face overheating and insulation aging caused by electromagnetic losses, which affect their service life. This paper analyzes an oil-immersed transformer with a rated voltage of 800kV based on heat transfer and fluid dynamics principles. The temperature distribution is carried out by magnetic-thermal coupling simulation. The influence of insulation oil flow rate on temperature is analyzed in the thermal field calculation, and the overall temperature rise of transformer and insulating oil is obtained. It turned out that the highest hot spot of the transformer occurs in the low-voltage winding, and the flow speed of insulation oil between the winding is the fastest.
Electrical Performance Analysis of Grading Electrodes After Scaling in Converter Valves
Authors: Wu Shuya , Yin Jiliang , Zhang Chao , Zhai Beihong , Ouyang Taoyu , Guo Jingyi , Wang Quantao , Ding De , Liu Lei , Wu Yuewei 
Published: May 2023

Abstract
It is necessary to take out the electrode when detecting the scaling degree of the conventional grading electrode. The steps are cumbersome and there are safety risks. In this paper, through the analysis of the equivalent circuit model before and after the scaling of the grading electrode on the cooling water manifold in the converter valve, the loop resistance model suitable for the positive and negative potential sides is obtained. The constant voltage DC source is used as the driving voltage of the circuit, and the leakage current of the circuit is measured under different temperatures and conductivity conditions of the internal cooling water. The degree of scaling of the grading electrode is determined by analyzing the leakage current. The leakage current in the non-scaling state of the grading electrode and the leakage current in the scaling failure state of the grading electrode are taken as the reference values. It is concluded that when the leakage current of the measurement circuit decreases to 68 % - 80 % of the leakage current in the non-scaling state of the grading electrode, the grading electrode can be considered to fail.
The Design and Simulation of Associated Protection for Low Voltage Shore-to-ship Power Supply System in Inland Port
Authors: He Shengli , Deng Renren , Zhou Rongbin , Ren Jialei , Yang Ping 
Published: May 2023

Abstract
Due to the complex environmental conditions of inland ports, it is of great significance to adopt associated protection to ensure the safe and reliable operation of the shore-to-ship power supply system. To accurately simulate the operating conditions of the shore-to-ship power supply system, the simulation model of the ship power system is established completely. According to the characteristics of the inland port, the simulation model of the shore-based power supply system is designed and established. Based on the established simulation model of a low voltage shore-to-ship power supply system, to meet its protection requirements of it, an associated protection method including safety interlock, under-voltage protection, and short-circuit protection is proposed. To verify the effectiveness of the associated protection, power faults are set in the shore-to-ship power supply system, and the action of the associated protection during the fault is analyzed by comparing the voltage and current waveforms of the shore-to-ship power supply system with associated protection and unprotected ones. The results show that the associated protection can effectively detect the power failures of the shore-to-ship power supply systems and take timely protection measures to ensure equipment safety.
Modeling and Simulation of Indirect Collector Solar Hot Water Heating System Based on TRNSYS
Authors: Hu Dawei , Liu Hengyu , Zhu Yidong , Zhang Tianyu , Wang Jun , Zhang Zhongrui , Sun Jiazheng , Yuan Jingwei , Zhang Zhe , Yang Luyu 
Published: May 2023

Abstract
The use of solar energy is one of the important ways of clean energy heating in rural areas in the north, and the collector solar water heating system is an effective way to use solar energy. This paper takes a typical single residential house in a rural area of Shenyang as a research case to design an indirect collector solar hot water heating system. Based on the meteorological data of the winter heating period (November 1 - March 31 of the following year) in Shenyang, TRNSYS software was used to research the heat collection efficiency and scheme design of the heating system. The research results showed that: 1) The best material of the heat exchange coil of the hot water storage tank in the solar water heating system of the indirect collector is stainless steel with a thickness of 0.8mm; 2) The optimal installation angle of solar collectors in Shenyang is 55°; 3) The optimal area of the heat exchanger coil in the hot water storage tank is 4.40m2.
Research on Path Planning of Manipulator for Terahertz Time-domain Imaging System of Power Insulators
Authors: Luo Guofang , Chen Hongtao , Liu Ping-an , Wang Yujian , Liu Yongli , Zhou Kuan , Han Jingxin , Wang Dong , Chen Xi 
Published: May 2023

Abstract
To ensure detection accuracy, the focus of the terahertz lens is required to be located on the surface of the workpiece in the process of terahertz imaging detection, and the outgoing optical axis of the lens is also required to be perpendicular to the surface of the workpiece. Therefore, when imaging curved samples, a 6-degree freedom manipulator is generally used to drive the terahertz lens, and the lens realizes non-destructive testing along the workpiece surface. The mechanical arm is required to drive the terahertz lens to move along the rotation curve in a two-dimensional plane when the mechanical arm is used to detect the power insulator of the rotating structure. This paper focuses on the path planning of the manipulator, that is, the curve is divided into several connected straight lines and arcs, and the manipulator moves continuously in each characteristic line segment. The D-H dynamic model of the manipulator was established to analyze the joint velocity and acceleration to ensure the stability of the moving process.
Design of Secondary Circuit Visualization System for UHVDC Converter Stations
Authors: Liu Ruopeng , He Kai , Zhang Liming , Geng Xiangrui 
Published: May 2023

Abstract
For the problems of complicated work content and error-prone workload of secondary circuits, a three-dimensional visualization method is proposed for the visualization and management of the physical circuits of the control and protection system of the converter station based on digital twin technology. The system can be used to improve the work efficiency of operation and maintenance personnel by constructing a secondary circuit information data model, generating corresponding data through artificial intelligence image recognition and manual review of secondary circuit drawings and schematics, and performing accurate corresponding circuit data analysis and 3D visualization management of the secondary physical circuits of control and security equipment, which can visualize the circuit information of control and security equipment in the station from outside to inside at multiple levels and multiple dimensions.
Simulation and Analysis of Harmonic High Voltage Filters for Wind Farm
Authors: Li Shupeng , Wu Bin , Li Qirui , Li Zhenbin , Chen Zhaoyu , Song Chao 
Published: May 2023

Abstract
With the rapid development of the wind power industry, the total installed capacity of wind power has increased dramatically worldwide, and a large number of wind power installations need to be connected to the grid. In wind turbines, voltage flicker due to output power fluctuations caused by wind speed changes, and the application of a Voltage Source Converter (VSC) cause harmonic richness and other power quality problems to become more and more prominent. In this regard, the research is focused on the harmonic and reactive current distribution, impedance frequency characteristics, and voltage distortion rate of several offshore wind farm access systems, including the establishment of a harmonic current simulation model of the offshore wind farm delivery system, simulation analysis of network impedance frequency characteristics, simulation analysis of harmonic currents, and proposed a preferred filtering scheme. Taking into full consideration the characteristic harmonics of the wind farm, the system resonance generated by the submarine cable and the background harmonic level of the power grid, combined with the simulation results of the harmonic voltage, harmonic current, and network impedance frequency characteristics of each node, the technical solution of adding a direct-mounted high-voltage filtering device to the 220 kV bus at the metering station is proposed, which can destroy the system resonance conditions of the 3rd to 6th times of the submarine cable. Various wind farms and system operating conditions are able to form a stable harmonic absorption point to avoid the problem of harmonic amplification.
Numeerical Calculation and Test of the Influence of Environmental Vibration on Coriolis Flowmeter
Authors: Lian Mingming , Zheng Jin , Li Zhen , Huang Dongkui , Xue Qingfeng , Zhou Zhaoming 
Published: May 2023

Abstract
Coriolis mass flowmeters are resonant meters. In this paper, the intrinsic mode of the CMF300 model Coriolis flowmeter under fluid-structure interaction is calculated numerically, and the excitation mode and Coriolis force mode of the Coriolis mass flowmeter in the working state are analyzed. According to the results of modal analysis, the harmonic response analysis of the flowmeter was carried out, and the displacement, stress, and strain response curves of CMF300 under the action of excitation force of different frequency loads were obtained. It provides ideas for the modeling and design of Coriolis mass flowmeters in the future.
Closed-loop Control of Biaxial Fatigue Loading of Wind Turbine Blades Based on Visual Inspection
Authors: Liao Gaohua , Zhao Ying , Hong Zhimin , Zhang Zhiyi , Zeng Haoyu 
Published: May 2023

Abstract
Based on the inertial vibration excitation device, a biaxial fatigue loading system for wind turbine blades is established by using visual inspection technology and virtual spindle decoupling to control the vibration excitation motion of wind turbine blades. The image feature point tracking method is used to detect the blade vibration state. Considering the system vibration frequency characteristics, the phase difference between the exciting force and the vibration displacement is detected based on the phase detector, and the system resonance frequency is adaptively tracked to achieve accurate control of the double-free amplitude of the blade. The fatigue test shows that the control system can maintain the amplitude error of the blade, the adaptive tracking control method is reliable and effective, and the accuracy and reliability of the fatigue test are improved.
Numerical Calculation of Wet Exhaust Gas Condensation in the Heat Exchanger
Authors: Guo Jingzhong , Gu Yuheng , Zheng Tianshuai , Cui Shujie , Ye Aqu , Yu Xiaobing , Zhao Ruoyu , Jiang Feng 
Published: May 2023

Abstract
Based on the background of waste heat recovery of gas-fired boiler, this paper studied wet exhaust gas condensation heat transfer using numerical methods. The calculated results indicated that with the exhaust gas Re number increases, heat flux, and Nu number gradually increase, while the Eu number decreases simultaneously. Besides, the variation trend of the Nu and Eu number gradually reduced with Re number increases. With inlet exhaust gas temperature increase, the Nu number increases, and the Eu number decreases. Meanwhile, Nu number and Eu number increases with the increase in wall temperature. On this basis, the empirical correlations for calculating Nu and Eu numbers are obtained, and the deviation between the calculated values and the numerical results is within ±8%. The conclusion of this study provides basis for heat exchanger design in wet exhaust gas waste heat recovery.
Research and Design of RF Ion Source Impedance Matching Network
Authors: Pan Jun-jun , Jiang Cai-chao , Liu Zhi-min , Chen Shi-yong , Liu Sheng 
Published: May 2023

Abstract
The radio frequency (RF) ion source is the key component of the neutral beam injector to achieve high power and long pulse operation. The key technology is feeding RF power from the power source to the ion source and producing stable plasma. It is impossible to calculate the exact equivalent impedance of plasma during discharge, and the impedance will change with the change in discharge pressure and feed power. In order to transfer the maximum output power of the RF power source to the coil antenna of the ion source, an impedance-matching network must be added between the power source and the ion source. Four possible matching network structures are designed by the Smith diagram circle method, and two kinds of capacitor structures are calculated and analyzed. The influence of capacitance change on impedance matching state is analyzed, and the electrical parameters of capacitance under the two structures are compared. After comparison and analysis, the structure of the parallel capacitor is first, and then the series capacitor is selected. Finally, the plasma discharge can be stable through experiments. The research on the matching network is of great significance for the development and experimental operation of the RF feeding system of the high-power RF ion source in the future