bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of An Intelligent Demodulation Method for X-ray Spectrum Communication
Authors: Gao Youtao , Dong Guocang , Jin Limin 
Published: March 2023

Abstract
X-ray communication based on X-ray spectrum modulation information is a novel communication method, which can effectively improve communication ability and anti-interference ability. In this paper, four characteristic X-rays are chosen to modulate information. The influence of channel attenuation, random noise in space, and miss-shooting rate caused by adjacent targets are discussed. Based on error-correcting output codes and a 10-fold cross-validation method, a neural network intelligent classifier is designed to realize intelligent information demodulation. Simulation results show that if the miss-shooting rate is lower than 0.4 and the photon retention rate after channel attenuation is higher than 0.0008, then the classifier can achieve a recognition success rate of more than 99%. This study provides reliable index requirements for the performance of the four-target material source equipment to be designed next. This paper also provides a theoretical basis for the subsequent further realization of space communication capabilities.
An Improved Segmented MTI Filter Based on a Clustering Algorithm
Authors: Liao Jiahao , Liu Shan 
Published: March 2023

Abstract
A K-Means clustering algorithm modified MTI (Moving Target Indication) filter is proposed for refining signal processing of the array environment in response to the current demand for clutter suppression by array adaptive technology. The method first uses the clutter distribution type and distance as parameters of the K-Means clustering algorithm to divide the echo’s into different clutter distance segments. Then an adaptive MTI filter is used to filter each clutter distance segment separately. The identification was carried out using measured ground radar echo data. The results show that the k-means clustering algorithm has better clutter distance segmentation capability. Compared with the conventional two-pulse MTI filter, the improved segmented MTI filter of the k-means algorithm has better clutter suppression in complex clutter environments.
Research on the evaluation method of the performance of hydraulic transmission oil
Authors: Xu Wanli , Wang Changfu , Wang Xudong , Wang Mengyi , Chen Jinmao 
Published: March 2023

Abstract
The characteristics of hydraulic transmission oil directly affect the performance of ground equipment. The current evaluation method of hydraulic transmission oil is mostly focused on its physical and chemical performance analysis, which cannot meet the actual needs of the equipment. This paper carried out research work for the evaluation method of hydraulic transmission oil, starting from its working principle and then designing a hydraulic transmission oil performance evaluation bench. It proposed evaluation indexes and evaluation methods, which are of reference significance for the selection of oil for equipment and promoting oil development.
A prediction method of remaining useful life of water pump equipment based on 1D-CNN-LSTM
Authors: Pan Jian , Li Yujiang , Zhao Huandong 
Published: March 2023

Abstract
This paper presents a prediction method for the remaining useful life of water pump equipment based on 1D-CNN-LSTM neural network. Firstly, the vibration signals of the body, base and drive end of the water pump equipment are collected and the time-frequency domain information is extracted from the vibration signals. Input samples are built using the extracted information, inlet, outlet pressure, and flow. Then, a one-dimensional convolutional neural network is added in front of the short-term memory neural network to get a better prediction of the remaining remaining life of the pump equipment. Finally, the time domain information, frequency domain information, flow rate of the vibration signal, inlet pressure, and outlet pressure are used for prediction experiments. Then the prediction results of different prediction models are compared, which proves the effectiveness of the proposed method in predicting the remaining useful life.
Four-Function Fully Automatic Refrigerator Protection System Design
Authors: Shi LuLu , Zhang Bo , He RuiLong , Zhao YuGe 
Published: March 2023

Abstract
In the automatic refrigerator protection system hardware design, the MCU is selected as the core control of the system, the specific design content includes the selection of the automatic refrigerator protection system design scheme, MCU, and sensor types and models, in addition, it is necessary to combine the components of the display module design; In the system software design, the most core content is the system program design. The system collects the undervoltage, overvoltage, power failure, leakage, and other conditions of the power supply refrigerator, and the control switch is automatically disconnected to protect the refrigerator. C language was chosen to design the system software code, and Proteus software was used to realize the system function simulation, and the functions of the system were verified.
Interaction Strategy Between the Vehicle-station-grid Considering Privacy Protection
Authors: Xi Yanjun , Yang Jinglu , Zhang Xuze , Ji Yang , Wang Qiang , Shi Hang 
Published: March 2023

Abstract
The number of electric vehicles (EVs) is increasing daily, and the charging demand for large-scale EVs has a greater impact on the distribution network, so it is urgent to study the cooperative interaction optimization strategy of the “EV-charging station-distribution grid.” In this paper, we take the charging load of EVs in the regional distribution network as the research object. We establish a multi-intelligence reinforcement learning-based optimization strategy for the interaction between EVs and the grid to obtain the optimal charging decision to minimize the peak-to-valley difference between the user-side economy and the grid-side load. The results show that the proposed EV-grid interaction optimization strategy can effectively reduce the peak-to-valley difference in charging station load and realize the efficient cooperative interaction of the “vehicle-station-grid.”
Study on the Crashworthiness Performance of A Cargo Hold Support Column of A Civil Aircraft
Authors: Yang Guiqiang , Yin Weiming , Wang Yi 
Published: March 2023

Abstract
With the continuous development of China’s general aviation industry, there are urgent requirements for research on aircraft crashworthiness to provide better safety for aircraft occupants. According to the results of long-term crash investigations, if crash safety design is taken into account at the earliest stages of aircraft design, most accidents will become viable or partially survivable, which can greatly improve the survival rate of aircraft passengers after an accident. In this paper, the design criteria and design methods for crash resistance technology of aircraft cargo uphold pillars are studied, and the crash simulation analysis of a certain type of aircraft is analyzed. First, a feasible design method and optimization principle are formulated according to the specific characteristics of a certain type of aircraft; Then, the crash resistance characteristics of a certain type of aircraft are analyzed, and the finite element model of the fuselage and cargo uphold pillars structure is established based on the three-dimensional electronic prototype of the aircraft. By the crash conditions specified in the relevant specifications, a mechanical simulation study of the aircraft is carried out, and the results are analyzed. Finally, constructive comments are given based on the simulation results. The reliability of the design is verified using simulation analysis, which provides a reference for the simulation and analysis of the anti-crash design of the aircraft cargo uphold pillars structure.
Analysis of the Method and Principle of Measuring the Average Power of Equipment Based on DC Power Analyzer
Authors: He Yalei , Zhang MingJie , Yuan HongXue , Wen XueJun , Zhao YuHui 
Published: March 2023

Abstract
To solve the problem that it is difficult to accurately measure the average power of equipment with large instantaneous power change, this paper analyzes the principle of equipment power change and the mechanism of measurement error and proposes a reliable average power measurement method based on the idea of calculus. Through test verification, compared with the common three-measurement average methods, the uncertainty of the results calculated by the method proposed in this paper is reduced, and the results are accurate and reliable, which can reflect the real power of the equipment and meet the requirements of the test and test support.
Evaluation of electric vehicle charging facilities by using the MCDM method
Authors: Li Yanbin , Jia Junguo , Wu Shangjie , Guo Sen 
Published: March 2023

Abstract
As one of the candidate carriers of future transportation, electric vehicles are widely considered an important choice to solve traffic derivative problems and environmental issues. In this paper, the evaluation of electric vehicle charging facilities is studied by employing the MCDM method. The fuzzy BWM was utilized to weight the criteria, and the MARCOS method was employed to evaluate different electric vehicle charging facilities. Eight criteria for electric vehicle charging facilities were determined, and five electric vehicle charging facilities were evaluated by using the hybrid MCDM method. The empirical results indicate that the comprehensive performance of electric vehicle charging facility EVCF#5 is best, followed by EES#3, EES#2, and EES#1, while the electric vehicle charging facility EES#4 has the worst comprehensive performance. This research can provide references for the sustainable development of electric vehicle charging facilities.
Short period Wind Power Forecast Method Based on Maximum Correntropy Criterion
Authors: Liu Jing , Zheng Xin , Wang Wenhai , Pan Zhiyuan , Wang Jing , Zhang Lei , Li Haifeng 
Published: March 2023

Abstract
Wind power forecast is an essential measure to increase the level of wind velocity consumption and also the basis of wind power dispatching operations. In the cause of increasing the precision of short-period wind velocity forecast, this srticle adopts a new evaluation criterion(MCC) in order to direct optimization of the parameters of the wind power model. The method first filters and normalizes the measured historical data and determines the optimal input variable dimension through a set of fixed parameters. Then, grid optimization and Particle Swarm Optimization (PSO) are used as evaluation criteria for parameter optimization. Finally, the obtained optimal parameters are used to forecast the short-term wind power, and four evaluation indexes are used to evaluate the forecasting results. The results show that the parameter optimization process using MCC as the evaluation criterion is more suitable for wind power output characteristics, and comparing with traditional optimisic methodthe the forecast accuracy is increased by 5 -10%.
Evaluation method of power loss for distribution network fault handling based on distribution transformer outage and restoration information matrix
Authors: Lin Dongyue , Zhang Wei 
Published: March 2023

Abstract
To solve the problem of power loss evaluation in distribution network fault handling, an evaluation method of power loss for distribution network fault handling based on distribution transformer outage and restoration information matrix is proposed. Firstly, the distribution transformer outage and restoration information matrix model is established to describe the distribution transformer, its outage time, its restoration time, its outage duration, and its lost power affected by the distribution network failure outage. Then the outage duration in the process of fault handling is discussed in four cases, and the detailed calculation formula is given. At last, the power loss of a single distribution transformer, the total power loss of distribution network failure, and the average power loss of a distribution transformer are described in detail by outage time and predicted power. The example analysis shows that this method can quickly estimate the power loss of a distribution transformer in the process of fault disposal, and the method is simple and reliable, which can meet the needs of field applications and has good promotion value.
Research on Knowledge Graph-based Fault Diagnosis Method for Substation Equipment Operation
Authors: Zhang Ming , Huang Cheng , Li Wenguang , Sun Wei , Liu Zhuo 
Published: March 2023

Abstract
The current image processing-based fault diagnosis method for substation equipment operation realizes fault diagnosis by monitoring the thermal status of the equipment, which leads to low diagnostic accuracy due to the lack of analysis of alarm signals. In this regard, the research of substation equipment operation fault diagnosis method based on knowledge mapping is proposed. A fault diagnosis model is established by building a behavior map of substation accident-like alarm signals, analyzing the alarm behavior as well as the causes of faults, and predicting the posterior probability of faults. In the experiment, the diagnosis accuracy of the proposed method is verified. The analysis of the experimental results shows that the fault diagnosis model constructed by the proposed method has good diagnostic performance and high diagnostic accuracy.
A New technology of transformer bushing state detection based on transient dielectric response
Authors: Sun Lei , Zhang Lu , Jing Feng , Ma Li , Wang Wensen , Jin Jiandong 
Published: March 2023

Abstract
Failure of the transformer bushing will cause the transformer to be powered down or damaged, affecting the safe operation of the power system. This paper proposes a method using system harmonics as the dielectric response excitation source and studies the transformer bushing insulation online detection technology based on transient dielectric response characteristics. The technical scheme and system structure of the online monitoring technology of transformer bushing insulation based on dielectric response characteristics are given. A calculation model of short-circuit grounding and capacitor switching of a 35kV substation was established, and the harmonic frequency content and amplitude distribution of grid disturbance were analyzed. A case of dielectric response measurement of the bushing is given. The research shows that the system will generate overvoltage in short circuit grounding, capacitor switching, etc. The system harmonic frequency is in the range of the dielectric response test frequency band (1Hz~1kHz), and the harmonic amplitude is also large, which can be used as an excitation source. The excitation source of the dielectric response test causes a change in the dielectric response of the transformer bushing and acts as a “probe” that reflects the insulation state of the bushing. The medium and high-frequency bands of the dielectric spectrum in the frequency domain are also sensitive to moisture, which can be used to diagnose the insulation state of the bushing.
Research on the angular velocity estimation method based on the state augmentation method
Authors: Yan Zewei , Yang Haiyan , Qi Ji 
Published: March 2023

Abstract
In the maneuvering target tracking research due to the unpredictability of the target’s maneuvering, it makes it difficult to establish an accurate target motion model to reflect the real motion trajectory of the target. Based on the determination of the parametric maneuver model and the radar measurement conditions of the target, the joint estimation method of the motion state and the maneuver parameters is designed to obtain the optimal estimation of the motion state and the maneuver parameters based on the optimal evaluation criteria. Currently, in the descriptive category of the state space model, the state augmentation method is obtained to solve the joint estimation of the motion state and maneuver parameters based on the estimation criterion [1]. Therefore, the angular velocity estimation method of the state augmentation method is used to consider the estimated value of the target angular velocity and the estimated variance comprehensively to improve the convergence speed of target tracking, minimize the error between the filtered angular velocity and the real angular velocity of the maneuvering target, and finally achieve the purpose of improving the target tracking accuracy.
Radar Communication Jamming Signal Recognition Based on the Attention Mechanism
Authors: Li Yuanyuan , Lu Yawei , Tong Xihe 
Published: March 2023

Abstract
In modern battlefields, radar radiation sources detect targets by transmitting high-power modulated signals. In order to protect the operational effectiveness of the radar, there is a higher requirement for radar communication anti-jamming signal recognition capability. The accurate and fast identification of radar anti-jamming signals is the prerequisite for taking effective anti-jamming measures, which will directly affect the operational effectiveness of radar. At present, the recognition method based on the neural network can automatically extract signal features and obtain good recognition results. Because radar emitter signals have a strong correlation in time sequence, the LSTM network is used in this paper. For better feature extraction and classification of signals, this paper constructs the LSTM attention network, combines the attention mechanism with the LSTM recognition network, and proves the effectiveness of radar communication jamming signal recognition network based on the attention mechanism through experiments.
Giant Magneto-Impedance Effect Microcurrent Sensor Based on MEMS Technology
Authors: Liu Siyuan , Wang Tao , Luo Yufeng 
Published: March 2023

Abstract
The performances of common magnetic sensors in the field of microcurrent detection are presented. The giant magneto-impedance (GMI) effect is summarized, and the possibility of picoampere microcurrent measurement using the GMI effect sensor is proved. The classical design scheme of the GMI effect current sensor is improved, and a GMI sensor chip model that can realize picoampere microcurrent measurement is preliminarily established, which lays a theoretical foundation for further development of GMI microcurrent sensor with high performance, small volume, and low cost.
Optimization design of feed array structure for space-borne synthetic multi-beam antenna
Authors: Xue Zhaoxuan , Zhang Xingang , Wan Jian , Liu Xi , Hou Jian 
Published: March 2023

Abstract
To reduce the difficulty of engineering realization as much as possible on the premise of ensuring the performance of the feed network, a new design method of the multi-feed composite multi-beam antenna feed array is proposed. In the design process, the method of longitudinal subdivision and layering is used to solve the processing problem of complex large-scale electrical and small-sized devices. Then the multi-objective and multi-variable differential evolution algorithm is used to optimize the distribution position of each mounting hole to realize the optimal interface layout. The method is used to optimize the design of a multi-beam antenna feed array and the product object is produced and tested. The test results show the effectiveness of the design method. This method can be used to guide designers to carry out actual engineering design, shorten the design cycle, and improve the design quality.
Research on identification method of weak links in transmission network considering strong wind in severe cold weather
Authors: Zhuang Guanqun , Wang Weichen , Li Dexin , Gao Song , Wang Changjiang 
Published: March 2023

Abstract
The ice disaster has brought many adverse effects on the power transmission system, which is mainly studied from the transmission line failure rate perspective. Strong winds often accompany the ice disaster weather, the motion path of wind is considered when identifying the weak location of transmission network system. According to the theory of meteorological simulation, and the mathematical relationship between the effective wind speed and the forced outage rates is obtained. A transient stability risks assessment method is proposed considering the ice disaster in the case of a strong wind moving path. According to the fault probability of transmission lines, a predictive fault set for power grid risk assessment is established. The IEEE-39 bus system is used as an example to analyze the effectiveness of the proposed method. The simulation results show that meteorological parameters, geographical environment, and other factors, especially the meteorological advance speed and the direction of transmission lines, will cause greater damage to the stability of the transmission system.
Hydraulic System Design and Simulation of the Lifting Device for the Hanging Barrel Campus Garbage Truck
Authors: Fei Lilin , Qiao Xun , Zhang Shaoguo 
Published: March 2023

Abstract
According to the parameters of the Chengliwei CLW5165ZZZD5 garbage truck, the hydraulic system of the lifting device is designed and simulated. Firstly, the working pressure of the hydraulic system is calculated, and then the type of hydraulic components required is designed and selected; Secondly, the hydraulic system sketch is established through AMESim software and the parameter simulation is carried out; Finally, the variation law of pressure, flow, speed, displacement and other parameters of the hydraulic cylinder is analyzed. The results show that the lifting device can make the Chengliwei self-loading garbage truck work normally, and the design requirements meet the working requirements.
Numerical Control Simulation and Programming Based on SinuTrain Bearing Bracket (Five-axis)
Authors: Jin Weiwen , Lei Tongfei 
Published: March 2023

Abstract
At present, the development of numerical control processing technology has entered a new period and has gradually developed in the direction of artificial intelligence. Along with the development of science and technology in recent years, the present stage of our country has made a significant breakthrough in the application of numerical control processing technology. Hence, learning to master CNC machining technology is necessary. Numerical control simulation software is used to NC machining the bearing bracket (five-axis), and numerical control simulation software SinuTrain is used to NC programming the parts and simulation verification of the machining process. SinuTrain is a CNC training software that functions exactly like the controller itself. The use of this software for bearing bracket (five-axis) numerical control simulation and programming, can make us master the use of this software, and can also help us understand the mechanical processing process and programming technology.
Design of Running in Control Platform for Tracking Turntable
Authors: Li Qianrong , Qi Le 
Published: March 2023

Abstract
The tracking turntable is an important device in a laser digital sight. In the normal operation of the sight, the flatness and smoothness of the turntable are the necessary conditions for the stable operation of the system. In this paper, for the problem of improving the operation accuracy of the turntable, a set of special processes and equipment is developed through the electrical and structural design. After the processing, the control box runs the turntable for a certain time, which can remove the tooth height and burr, and improve the transmission stability and transmission accuracy.