bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of multifunctional current-carrying friction and wear test machine based on LabVIEW
Authors: Hu Tao , Yuan Youlu 
Published: November 2023

Abstract
In order to study the effect of friction wear behavior on electrical signal transmission, a carrier friction wear test machine was developed which can be analyzed under different test conditions (load, speed and current). The testing machine builds a measurement and control system through LabVIEW platform to realize real-time acquisition and synchronous display of electrical signals, friction coefficient and temperature, and control of load size, and uses wavelet decomposition and arithmetic average to process data and PID control algorithm to revise load in real time. The experimental results show that the stability of the test machine and the accuracy of control system meet the test requirements.
Multiple fault isolation method for micro thrusters of drag-free systems
Authors: Li Haoran , Shao Xiaodong , Hu Qinglei , Zhao Dong , Zhang Yonghe , Wang Pengcheng , Dang Zhaohui , Li Dongyu 
Published: November 2023

Abstract
This paper proposes a multiple fault isolation framework for micro thrusters of drag-free systems, based on the minimum number of isolation filters. Based on the consideration of fault isolatability, the original system is reasonably divided into two completely isolated subsystems, and then two sets of fault isolation filters are designed based on the principles of duality design for state feedback decoupling, which achieves residual decoupling, and therefore, can detect and isolate multiple faults occurred on the micro thrusters. In particular, this method has low computational burden (a feature of practical importance in reducing the usage of onboard resources) and short isolation time, making it suitable for on-board fast and precise fault isolation. The simulation results demonstrate the efficacy of the proposed method when utilized for a drag-free system with 12 field emission electric propulsion (FEEP) thrusters.
A Novel Temperature Compensation Method for Surface Strain of Cylindrical Lithium-ion Batteries
Authors: Sun Rong Yao , Mao Lei 
Published: November 2023

Abstract
In order to ensure the safe operation of lithium-ion batteries, real-time monitoring of battery status is necessary. The surface strain signal of lithium-ion batteries has the potential to evaluate the battery’s state, but it is significantly affected by temperature. Generally, measuring the battery surface temperature and the thermal expansion coefficient can be performed to quantify and eliminate the influence of temperature on strain, but this increases the cost and complexity of strain measurement. This article proposes a method that eliminates the need to measure the battery temperature and material parameters. By simultaneously measuring the circumferential and axial strains on the battery surface and calculating their difference, the influence of temperature on strain can be minimized. Furthermore, the effectiveness of the proposed method is experimentally tested. Results demonstrate that after applying temperature compensation to commercial lithium-ion batteries, the influence of temperature on strain can be reduced from 16.4 ppm/°C to 1.7 ppm/°C. The strain no longer exhibits sensitivity to current, making it more suitable for evaluating the state of lithium-ion batteries.
Optimization of an Air-cooling Thermal Management System for Lithium-ion Battery Packs via Particle Swarm Algorithm
Authors: Wu Wenbo 
Published: November 2023

Abstract
Recently, lithium-ion batteries have attracted many researchers and their safety issues such as overheating, combustion and explosion continue to further limit battery application scenarios. These issues are mainly caused by unoptimized battery structure parameters or cooling methods. In this paper, an integrated approach has been proposed to design an efficient air-cooling system using the particle swarm algorithm to find an optimal relationship between air flow rate and battery temperature. Firstly, this method can adjust an optimized air flow rate to ensure that the battery temperature is minimized with the lowest energy consumption via the particle swarm algorithm. Additionally, an optimized air flow rate can still be obtained with the change of structure parameters such as the radius in a lithium-ion battery pack via this novel algorithm. Then, we demonstrate the feasibility of this integrated method in simulations. Compared with the previous work, this method can employ the continuous modulation of the particle swarm algorithm, realizing both the best cooling capacity of the battery cooling system and simultaneously the lowest energy consumption for cooling in cell heat regulation systems. Meanwhile, temperature variations of the entire cell pack are also shown in simulations. In contrast to previous approaches, this integrated method may provide more dynamic thermal management inspirations for designing novel battery thermal management systems.
Optimized Configuration of Distributed Wind-Solar-Storage System Based on Wind-Solar Scene Generation
Authors: Zhang Haichun , Zhu Xin , Chen Ming , Liu Jiwen , Fan Ka 
Published: November 2023

Abstract
To achieve large-scale, high-proportion, high-quality sustainable development of new energy such as wind and solar, the integration of wind, solar, and storage is imperative. In this paper, the Latin hypercube sampling and rapid backward reduction methods are used to generate and reduce the wind-solar output data. Then, an optimization model based on distributed wind-solar-storage system is established, in which the storage capacity is the configurable variable and the system benefit is the optimization objective. Subsequently, the wind-solar output data is substituted into the model for solving, and the Cplex solver is used to solve the model. The results show that the optimal storage capacity of the model built in this paper is 5 MWh.
The control equipment for the integrated use of cold energy in LNG vessels
Authors: Liang Xin , Zheng Liyuan , Lin Xingzhi 
Published: November 2023

Abstract
The design of control equipment for the cold energy recovery and utilization of LNG ships is the focus of ship technology and a prerequisite for equipment manufacture. By analyzing the design background and design status of LNG ship cold energy recycling control equipment, the study forms design ideas and prepares equipment materials. It optimizes design methods and compares and evaluates them with traditional control equipment. After a series of evaluation tests, it is found that the LNG ship cold energy comprehensive utilization control equipment can effectively achieve the purpose of energy saving and emission reduction and solve the problems of high operating costs and environmental pollution of traditional LNG ships.
Analysis and Suppression of Thrust Fluctuations in Halbach-type Permanent Magnet Synchronous Linear Motors
Authors: Cheng Gixian , Wang Shuhua 
Published: November 2023

Abstract
To address the thrust fluctuation problem of a bilateral type permanent magnet synchronous linear motor (DSPMSLM) with a Halbach permanent magnet array, a DSPMLSM with Halbach permanent magnet array structure is designed using ANSYS software. And based on this motor, the thrust fluctuations of the DSPMLSM are suppressed by using methods such as changing the end tooth height of the armature core, the tooth slot structure, and the opening of an auxiliary slot in the primary yoke. Firstly, the causes of thrust fluctuations in these areas were analyzed. Secondly, MAXWELL simulations were used to demonstrate that the selection of a suitable end tooth height could suppress end forces and that the use of a suitable-sized half-open slot and an auxiliary slot in the primary yoke could effectively reduce slot forces. All three methods can be used to suppress motor thrust fluctuations, reducing the thrust fluctuations of the DSPMLSM from 11.4% to 3.28% and increasing the average output thrust, which provides a reference for further optimization of the output performance of the linear motor.
Electromagnetic Compatibility Testing Method and Application of Generators Based on Flexible Loading System
Authors: Guo Jiajia , Sun Yanan , Wang Chong , Wang Dongsheng , Ren Guiying , Wang Zilong , Zhao Mingli , Hang Zhou 
Published: November 2023

Abstract
As an important part of the extended-range new-energy vehicle, the electromagnetic compatibility of the generator system will affect the overall performance of the vehicle. Therefore, it is necessary to conduct electromagnetic compatibility testing on the generator system, which includes two parts: electromagnetic emission and electromagnetic immunity. By implementing EMC testing of generators based on flexible loading equipment, we simulate the working state of the generator system during the real vehicle operation in the 3m anechoic chamber and evaluate the electromagnetic compatibility performance of the generator system. Flexible loading equipment can solve the adverse effects of large engine system volume, high noise, and exhaust emissions on the anechoic chamber environment in extended-range new-energy vehicles, and obtain real-time testing information of the generator system, achieving the standard requirements of quantifiable and evaluable test results.
A Rapid Evaluation Method for Transformer Insulation Status
Authors: Liang Qinqin , Han Fangyuan , Yu Min , Tang Bin , Luo Zongchang 
Published: November 2023

Abstract
A method for rapid analysis of transformer insulation status indicated by moisture content in insulation paper was developed by microwave-assisted solvent extraction coupled with Fourier transform infrared spectroscopy (FTIR). The results show that acetonitrile is the best extraction solvent, and the second derivative based on the difference spectrum is obviously better than the difference spectrum. For the acetonitrile spectrum of extracting water, the sensitivity of hoh bending vibration 1680 cm−1 is higher than that of OH stretching vibration 3615 cm−1. For all test samples, the results of this method are basically consistent with the standard method and show excellent precision. The study shows that it is feasible to rapidly analyze the moisture content of transformer insulation paper by solvent extraction coupled with FTIR.
Multi-objective Optimal Scheduling of Power System Based on Non-dominated Sorting Genetic Algorithm
Authors: Lu Xueying , Wang Haiji , Hu Jiankun 
Published: November 2023

Abstract
With the rapid development of green energy, wind power has been applied more and more. In this paper, a multi-objective optimization model of a power system was established based on a non-dominant sorting genetic algorithm to solve the problem of system instability in wind power output, taking maximum wind power consumption and minimum power purchase cost as the objective function, and simulation verification is conducted. The results show that using this algorithm for model solving can get the corresponding Pareto optimal set of extreme solutions, verify the effectiveness of the algorithm, and achieve wind power consumption maximization, electricity purchase cost minimization, and better economic benefits.
Refined Modeling and Dynamic Characteristics of Self-excited Vibration in the Main Inlet Valve of Pumped Storage Power Stations
Authors: Lai Xinjie , Xu Junyang , Xiong Mengsi , Li Honghui , Zhou Jianzhong 
Published: November 2023

Abstract
Self-excited vibration of the main inlet valve poses a great threat to the safe operation of the pumped storage power system, thereby making an indirect hazardous effect on the frequency stability of the power grid. In order to avoid self-excited vibration, this paper focuses on the refined modeling and dynamic characteristics of self-excited vibration. Firstly, the flexible valve model is introduced and the refined pumped storage power system modeling considering self-excited vibration is established. The constructed model is then validated by comparing it with field data in the frequency domain. Secondly, the sensitivity of self-excited vibration to system parameters is investigated by using the modified Morris method. Once the sensitive parameters are found, the effect law of these parameters on the dynamic characteristics of self-excited vibration is studied in depth. Finally, engineering advice is proposed. The result indicates that the self-excited vibration is most sensitive to the length of the diversion pipe, valve clearance of the main inlet valve, and water hammer velocity. Moreover, it is verified by simulation that shorter upstream pipe length, lower water hammer velocity and smaller valve clearance help to restrain the amplitude and deterioration rate of self-excited vibration.
Influence of composition of binary mixed working fluids on the performance of cascade heat pump
Authors: Liu Xian , Yang Yurui , Shen Yuexiu , Ni Haibin , Yan Zhihao , Li Wen 
Published: November 2023

Abstract
The optimized design of the cascade heat pump facilitates the recovery and reuse of waste heat in printing and dyeing wastewater. This paper constructs a cascade heat pump system with two-stage cycles sampling the same binary mixed working fluids. The effects of three kinds of combinations of working fluids, including R134a/R152a, R134a/R22, and R152a/R22, on the COP and heating power, are discussed through the thermodynamic cycle process simulation when the component ratio varies. It is found that, for the R134a/R152a mixed working fluids, the system performance can be adjusted approximately linearly by changing the component ratio. For the two mixed working fluids of R134a/R22 and R152a/R22, the performance of the cascade heat pump system is closer to the case of using pure R134a and R152a as corresponding working fluids. The system’s heating capacity is significantly reduced, compared with the case of pure R22 employed. Besides, with the component ratio of working fluid increasing, the COP and heating power change with opposite trends.
The Combination of Simulation and Heat Pump Technology for the Treatment and Reconstruction of “Wet Plume” in fossil-fuel power station
Authors: Dou Jie 
Published: November 2023

Abstract
The saturated wet flue gas discharged from the power plant chimney after wet desulfurization often forms a thick “white plume” at the chimney’s mouth. This “wet plume” phenomenon has a very bad impact on the lives of local people, and it will also cause corrosion damage to surrounding equipment while polluting the environment. This paper simulates the “wet plume” phenomenon caused by flue gas emissions under different flue gas parameters and environmental parameters by using the CFD simulation method and the new technology of “smoke tower integration” of power plant emissions. Through the simulation data, the “wet plume” pollution change is studied, which provides a reliable theoretical basis for the design of new power plants and the reconstruction of old power plants. At the same time, through the simulation data, the combination of flue gas indirect condensation technology and heat pump technology is selected to realize the recovery and reuse of flue gas waste heat and realize the dual embodiment of social value and practical value.
Fault Diagnosis of Centrifugal Fan Based on Grid Search Optimized Voting Weighted KNN
Authors: Zhao Ning , Xu Jingyue , Zhou Gang 
Published: November 2023

Abstract
Fan plays the roles of the forced draft fan, induced draft fan, primary air fan, seal fan, and powder exhauster. As an important auxiliary of the fossil-fuel power station, its working environment is harsh. Timely and efficient fault diagnosis can effectively reduce equipment failure and shutdown losses, and improve the efficiency of thermal power generation. K-Nearest Neighbour (KNN) has good classification ability for non-stationary data samples. In response to the shortcomings of the traditional KNN algorithm, this paper constructs a fault diagnosis model based on the voting weighted k-nearest neighbor algorithm. The model constructs a weight voting equation that is negatively correlated with the distance value based on the first k-nearest neighbors and then conducts fault diagnosis based on the voting score. We use grid search to optimize the model and select the k value in the model, and the relationship between the k value and accuracy was verified. The grid search optimization voting weighted k-nearest neighbor is used to diagnose the faults of nine common operating states of centrifugal fans, and the diagnostic accuracy can reach 100%.
Drag Reduction and Thermal Protection of the Combination of Aero Disk, Lateral Jet, and Rear Jet for Hypersonic Vehicle
Authors: Liu Tianwei , Fang Shuzhou , Wang Ziyu , Cheng Jie 
Published: November 2023

Abstract
This study proposes a combined scheme based on a spike-aero-disk, a lateral jet, and a rear jet to enhance hypersonic vehicles’ drag reduction and thermal protection performance. Numerical simulations were conducted using CFD methods to validate the scheme’s capabilities. The results demonstrate a significant improvement in drag reduction and thermal protection compared to the basic scheme with only a spike-aero disk. Furthermore, under the same mass flow rate conditions, the combined scheme with an extra rear jet is compared to a scheme with a spike-aero-disk-lateral jet, revealing a reduction of approximately 23.4% in the peak Stanton number, indicating a remarkable enhancement in drag reduction and thermal protection performance. The simulation results show that the use of lateral jet and rear jet improves the overall thermal protection ability and drag reduction ability of the vehicle.
Smart Nonlinear Energy Feedback Power Electronic Load to Simulate Power Quality Problems
Authors: Xiao Tian’ ao , Dong Kun , Zhao Jianfeng 
Published: November 2023

Abstract
This paper proposes a design approach for an energy feedback power electronic load (PEL) based on back-to-back voltage source PWM converters. It can simulate not only constant linear loads but also a class of nonlinear loads to simulate power quality problems. The rectifier side and the inverter side are decoupled in control by using a DC capacitor. The rectifier side is responsible for tracking designed current commands to achieve the designed load characteristics, and based on the characteristics of the current commands, a multi-resonant controller plus state feedback controller was designed by using the internal model principle. The inverter side employs an LCL filter with active damping to control the phase of the grid-connected current, enabling energy to feed back to the grid. A simulation model of this PEL is established in Simulink software, and the simulation results verify the effectiveness of the proposed control strategy.
A power constant logic circuit based on mask control
Authors: Li Haiwei , Yao Maoqun , Li Conghui , Shen Shanhu 
Published: November 2023

Abstract
As the structure of existing anti-power attack circuits has certain security problems, this paper proposes a new mask-based control constant power logic circuit based on the existing masking technology. By integrating OR/NOR and AND/NAND circuits into a dual-rail circuit, different circuit logic functions can be controlled by inputting different masks. By introducing two parameters, Normalised Energy Deviation (NED) and Normalised Standard Deviation (NSD), the structure proposed in this paper improves the level of resistance of the circuit to power attacks to a certain extent, as well as reduces the cost of the circuit compared to other power attack resistant circuits.
High Dynamic Pixel Implementation Method for Adaptive Adjustment of Gate Voltage of Transfer Transistor on Chip
Authors: Lei Siqi , Guo Zhongjie , Wang Bin , Cheng Xinqi , Liu Suiyang 
Published: November 2023

Abstract
In CMOS Image Sensors (CIS), high dynamics are required to adapt to the variation of light intensity in different application scenarios. In this paper, we propose a highly dynamic method based on an 8T active pixel, which can adjust the gate voltage of the transfer transistor on the chip adaptively by changing the gate voltage of the transfer transistor in the pixel, to adjust the height of the potential barrier between the PD and FD nodes so that the PD node inside the pixel can fuse the signals of long and short exposures. The output of the sampled pixels is compared with the reference voltage, and the result is output to the gate of the transfer transistor through the DAC to determine the total exposure time allocation, achieving the effect of adaptive adjustment of the exposure time allocation by the pixel output. Based on the 55 nm process, the proposed method is verified by a specific circuit design, and the validation results show that the full trap capacity is 24 ke−
and the dynamic range can be extended from 66.02 dB to 89.54 dB without decreasing the pixel fill factor and increasing the signal processing complexity, and the long and short exposure times can be adjusted adaptively according to the application scenario to obtain the optimal high dynamic. The solution is optimized for high dynamics.
An Improved Convolutional Neural Network for Particle Image Velocimetry
Authors: Gong Shuicheng , Zhang Fuhao , Xun Gang , Li Xuesong 
Published: November 2023

Abstract
With the wide application of Particle Image Velocimetry (PIV) technology in various engineering and research fields, the requirements for the accuracy, computational efficiency, and robustness of PIV algorithms are increasing. Although traditional algorithms have wide applicability, they suffer from low accuracy, large computational cost, and poor robustness. Recently, deep learning algorithms have provided new solutions, especially, convolutional neural networks with different structures, which have achieved good performance on synthetic PIV datasets. This paper proposes a structural improvement scheme for PIV convolutional neural network models. Experiments verify that the proposed method can significantly optimize the performance of the model on synthetic PIV datasets, providing a novel approach for improving other convolutional neural networks for PIV analysis.
Absolute value measurement of ion-scale turbulence by two-dimensional phase contrast imaging in Large Helical Device
Authors: Kinoshita T. , Tanaka K. , Sakai H. , Yanai R. , Nunami M. , Michael C.A. 
Published: November 2023

Abstract
Absolute value measurements of turbulence amplitude in magnetically confined
high-temperature plasmas can effectively explain turbulence-driven transport characteristics and
their role in plasma confinements. Two-dimensional phase contrast imaging (2D-PCI) is a technique
to evaluate the space-time spectrum of ion-scale electron density fluctuation. However, absolute
value measurement of turbulence amplitude has not been conducted owing to the nonlinearity of the
detector. In this study, the absolute measurement method proposed in the previous study is
applied to turbulence measurement results in the large helical device. As a result, the localized
turbulence amplitude at ne
= 1.5 × 1019 m-3 is approximately 3.5 × 1015 m-3, which is 0.02% of the electron density. In addition, the evaluated poloidal
wavenumber spectrum is almost consistent, within a certain error range, the spectrum being
calculated using a nonlinear gyrokinetic simulation. This result is the first to the best of our
knowledge to quantitatively evaluate turbulence amplitudes measured by 2D-PCI and compare with
simulations.