bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thompson-Lampard Theorem for Dielectric Characteristics Detection of Generator Stator Insulation
Authors: Liu Boyan , Lei Yu , Sun Shitao , Zhang Jie 
Published: April 2022

Abstract
The insulation of large generator stator winding will be gradually aging in the long-term operation process. The traditional aging test method cannot accurately locate the non-penetrating local defects of winding. Interdigital electrode is widely used in the fields of environmental monitoring and food detection because of its excellent characteristics such as self-closing and unidirectional penetration, but it has not been popularized in the identification of generator insulation aging. The paper proposes an interdigital electrode structure based on the Thompson-Lampard theory. The electrode suitable for dielectric characteristic detection of stator winding, and the electrode structure is optimized by using the finite element method from the parameters of signal strength, sensitivity and penetration depth. With the help of optimising, the measuring accuracy of the electrode can reach 0.1 level. Then, the different moisture conditions of water-cooled generator and air-cooled generator are simulated to verify the feasibility that interdigital electrode can detect insulation moisture which is an important factor in accelerating insulation aging. Finally, the moisture depth detection results show that the electrode combination based on the Thompson-Lampard theory can be used to locate moisture depth accurately, it is of great significance for the prevention of insulation aging and the pre-diagnosis.
Method of Cogging Torque Reduction for Built-in Permanent Magnet Synchronous Motor
Authors: Yang Yong , Wang Xudong 
Published: April 2022

Abstract
Cogging torque is one of the main factors that deteriorate the performance of permanent magnet motor. In order to reduce the cogging torque of built-in permanent magnet motor, a method of optimizing Rib and DminMag to reduce groove torque of built-in permanent magnet motor was proposed. Firstly, the relationship between Rib and DminMag and groove torque is analyzed through the expression of groove torque. Secondly, the optimal Rib and DminMag were found by finite element parametric calculation, and compared with the pre-optimization groove torque, the groove torque was significantly reduced. Finally, the main performance of motor before and after optimization is not significantly reduced.
High-speed train speed tracking control based on active disturbance rejection control strategy
Authors: Feng Chenjiang , Kuang Wenzhen 
Published: April 2022

Abstract
The speed tracking control of high-speed trains has the characteristics of nonlinearity, time delay, and multi-factor interference. Aiming at this, a train speed tracking algorithm based on active disturbance rejection control strategy is proposed. First, establish a train control model based on the train dynamics model. Secondly, design a second-order active disturbance rejection controller to set and compensate for unknown disturbances, and then convert the known train parameters to the controlled object for system simulation, the target speed curve is tracked, which proves the feasibility of the auto disturbance rejection control algorithm. Finally, compare traditional PD control algorithms in terms of anti-jamming performance and tracking error. The results show that the high-speed train speed controller based on active disturbance rejection control has greatly improved the tracking speed accuracy and the robustness of the control system.
Research on urban rail train control system based on train to train communication
Authors: Ma Yuanyuan , He Tao 
Published: April 2022

Abstract
The new train control system VBTC based on train to train communication adopts the idea of on-board centralization, regards switches and sections as trackside resources, integrates the functions of interlocking and zone controller into on-board, and the train independently manages line resources and determines the train operation control scheme. Compared with the existing CBTC system, VBTC system not only simplifies trackside equipment, but also improves operation efficiency, reduces operation and maintenance costs, and can better solve the problems of shortage of commissioning time and limited room space during overhaul and reconstruction of old lines. This paper analyzes the key technologies of train control system under train to train communication technology, designs the structure of VBTC system on-board module and object controller, and analyzes the control line resource flow of trackside object controller. VBTC train control system breaks through the inherent mode that all rail transit train control systems rely on station and trackside equipment to realize train operation control, and completely relies on on-board train control, which is in line with the development trend and direction of train control system.
Analysis and design of precise testing instrument chassis considering electromagnetic shielding
Authors: Hou Xuwei , You Li , Li Jingjing , Wang Huiyuan 
Published: April 2022

Abstract
In this work, the issues regarding the mechanism and structural design of electromagnetic shielding technology are introduced. In accordance with the use requirements of precise testing instruments, the precautions in the chassis design with respect to electromagnetic shielding are determined. Moreover, the approach to improve the chassis through experiments is proposed, and the test shows that the improved chassis can meet the requirements of shielding.
Design of UAV target tracking controller based on visual servo
Authors: Wang Hongfei , Shi Yongkang 
Published: April 2022

Abstract
The task of tracking a moving target by the UAV has two major challenges: one is that the multi-angle and multi-scale changes caused by the target’s movement make the target detection more difficult, the other is that the stability and accurate of target tracking are difficult to guarantee. In order to solve these problems, using monocular vision to get the image information of the target and YOLOv4 is used to detect multi-angle and multi-scale moving targets. Then based on the image visual servo control method, the PID controller is designed, and the deviation between the target pixel and the ideal pixel is used as the input, the output of the controller is the desired pixel speed of the UAV in image coordinate system. the tracking speed of the UAV under the machine system is solved according to the image Jacobian matrix, and a tracking strategy is designed to improve the tracking accurate and stability. In the process of target tracking, the difference between the x-axis and Y-axis coordinates of the target center point and the image center point is less than 30 pixels. The results show that the proposed algorithm can keep the target in the center of the image.
Design and research of electromagnetic generator based on Helmholtz coil
Authors: Chen Jinshan , Shi Yongkang 
Published: April 2022

Abstract
According to the technical requirements of electromagnetic-eddy current spin-off test for space targets, an electromagnetic generator is designed based on the working principle of the Helmholtz coil, the utility model is composed of a pair of square coils of the same structural size and turns of the coils. The magnetic field generated by the electromagnetic generator is simulated and analyzed by using the Maxwell electromagnetic simulation software, and the distribution of the magnetic field on the X axis, Z axis and the surface of the square coil is observed, the Tesla Meter was used to measure the magnetic field at 27 locations in the central region of the electromagnetic generator. The results show that the uniform magnetic field range, the magnetic induction and the uniformity of the magnetic field produced by the electromagnetic generator can meet the requirements of the electromagnetic eddy current damping test.
Development and application of a double-break vacuum on-load tap-changer
Authors: Zhou Kai , Jin Lei , Luo Wei 
Published: April 2022

Abstract
—At present, the mainstream large-capacity vacuum on-load tap-changer generally only uses a single resistance transition and there is a risk of breaking inter-stage short-circuit current. In order to improve the operational reliability of the vacuum tap-changer, this paper innovatively developed a double-break vacuum on-load tap-changer using dual transition resistances, which avoids the problem of inconsistent loads between the main vacuum tube and the transition vacuum tube, and theoretically avoids the inter-stage short-circuit accident, and completed the development, type test and trial run of the tap changer.
Calibration analysis of gas relay
Authors: Ma Chunlong 
Published: April 2022

Abstract
—Gas relay is the main protective element of transformer internal fault, which can sensitively respond to transformer short-circuit fault, core fault, internal turn to turn short-circuit of winding, insulation deterioration and oil level drop. Therefore, it is necessary to regularly compare and verify the gas relay. This paper briefly introduces the operation principle and calibration method of gas relay, analyzes in detail the reason why there is no specific standard for the calibration of gas relay setting value, and analyzes the factors affecting the flow rate setting value.
Security control of unstructured data in the power IoT for isolation network between internal and external
Authors: Yang Ruxia , Wang Di , Liang Fei 
Published: April 2022

Abstract
As a key national infrastructure, the safety of the power grid is an overall and strategic issue that affects the development of the national economy and society. With the popularization and development of the Internet of Things in the power industry, power Internet of Things terminal equipment has become a key target of network attacks. Using network attacks to damage power Internet of Things equipment has a strong detrimental power. As the main data storage method of the power Internet of Things, the security management and control of unstructured data has become the focus of the power Internet of Things security. This paper proposes a reformulation of access control policies based on the different attribute states and trust levels of power Internet of Things terminal equipment to reduce its access control authority, and on this basis, proposes a dynamic access control based on the isolation of internal and external networks. The detailed function design of each core security protection component is given, and the component module is explained.
Design of Flexible Spherical Fruit and Vegetable Picking End-effector Based on Vision Recognition
Authors: Chen Meng , Chen Feng , Zhou Wen , Zuo Ruoyu 
Published: April 2022

Abstract
In order to solve the problems of poor versatility and high clamping damage rate faced by the end-effector of picking robots in today’s picking operation, a universal spherical fruit and vegetable picking die end-effector based on vision recognition with adaptive flexible force clamping is designed. This end-effector is a pneumatic three structure, while integrating a small air source device, in the control of a variety of sensors, through the fusion of multiple sensing and algorithm improvement and other ways, so that the mold end-effector in the picking operation, through visual recognition to determine the type of fruit and vegetables, and then provide the optimal gripping force. At the same time, the fingertip is equipped with a pressure sensor to adjust the pressure output in real time to achieve the overall picking process, the pressure is kept constant, and in the judgment of the completion of fruit and vegetable picking, a torque sensor is equipped to presume the completion of the picking operation by twisting the fruit strength. Finally, the actual product was made and several fruit and vegetable simulation experiments were carried out. The experimental structure is good, which verifies that the end-effector has good versatility and flexibility.
Development and application of AC section power loss protection device
Authors: Zhang Hongyue , Zhou Qiang , Fan Zhanfeng , Song Hongtao , Liu Zhiwen , Niu Zhilei , Deng Maojun , Shuai Jiang , Li Wenzheng , Li Xinwen 
Published: April 2022

Abstract
—The so-called AC section power loss refers to the loss of all AC power supplies of the system on this side. After the AC section at the receiving end of the converter station loses power, it will lead to serious AC overvoltage, and the energy of the arrester will increase sharply at the same time, which will seriously affect the safety of the equipment. In view of this situation, this paper studies the action mechanism of AC section power loss protection, and gives the design scheme of AC section power loss protection device. The developed protection device has been verified by RTDS simulation test, passed the third-party detection test of a detection and Research Institute, and is running on site. The field operation is good. The device is not only suitable for conventional DC system and flexible DC system, but also for some occasions where regional stability needs to be considered.
Design of Permanent Magnet Synchronous Motor Power-assisted System Based on Field Oriented Control Algorithm
Authors: Huang Weiqiang , Lu Kai , Huang Weiqiang 
Published: April 2022

Abstract
Aiming at the integrated surgical robot, a set of power-assisted control system is designed to overcome the transmission resistance between master and slave hands, so that the operator feels light and comfortable during operation. The system includes permanent magnet synchronous motor, driver, controller, torque sensor, upper computer. The field oriented control algorithm is discussed and is used to control the permanent magnet synchronous motor. STM32 is used as the main control chip, DRV8301 is used as the driving chip, and the upper computer software, which has human-computer interaction interface and real-time torque signal display interface, is written by C#. A non-contact torque sensor and corresponding signal processing module is designed. The experimental results show that with the operator’s start-stop and reversing action, the q-axis current of the motor changes rapidly, and the amplitude of steady-state changes is small. This means that the designed system has the advantages of stable assist torque and fast response.
Research on Adaptive Cruise Control Car-following Model Based on Dynamic Spacing in V2X Scenario
Authors: Li Youyuan , Piao Changhao 
Published: April 2022

Abstract
In the adaptive cruise control (ACC) car-following model, the constant spacing strategy cannot adapt to complex and variable deceleration and acceleration situations. When the preceding car decelerates or accelerates suddenly, considering the safety and adaptability, the desire spacing should be larger or smaller, so the desire spacing is not only related to the speed of the two cars, but also to the speed change of the preceding car. For this problem of the deficiency, which the desire spacing existed, an adaptive cruise control car-following model based on dynamic headway strategy is proposed in this paper. In order to achieve more realtime and more accurate information transmission, this paper uses the v2v communication in v2x environment to obtain the preceding car information. MATLAB/Simulink is used to simulation modelling for verification and analysis. The experimental results show that, under the same simulation conditions, the dynamic spacing strategy proposed in this paper have a larger desire spacing for safety when preceding car decelerates, and a smaller desire spacing for comfort and road dynamic utilization when preceding car accelerates. So, the dynamic spacing strategy proposed in this paper shows different improvement effects for different acceleration and deceleration conditions.
Research on Depth Image Tracking Based on Aerial Refueling
Authors: Zhang Shuyao , Qian Xianyun , Wang Jun , Fan Zhenkai 
Published: April 2022

Abstract
Aiming at the problem of the current aerial refueling docking which is difficult to accurately identify the floating cone sleeve in a complex environment, the Meanshift algorithm can efficiently track moving targets in the plane, there is not very good solution strategy for the pose measurement of the cone sleeve and the movement in the optical axis direction. The Time-Of-Flight (TOF) in the depth camera can directly collect depth images and grayscale images, providing the distance information displayed by a flat camera. By using the Meanshift algorithm to iterate in the three-dimensional space, the Kalman filter is added to achieve robustness to the tracking of moving targets, effectively solve the problem of occlusion of the target, and provide the coordinate position of the target. In the experiment, 600 frames of images are extracted for comparison. The effect of the TOF camera has higher accuracy and stability than that of the flat camera. It still has a stable tracking effect after using the props to cover the cone model, which is better than the traditional plane Meanshift algorithm.
Research on improved genetic simulated annealing algorithm for multi-UAV cooperative task allocation
Authors: Wang Yao , Shi Yongkang , Liu Yunhui 
Published: April 2022

Abstract
In order to solve the cooperative search problem of multiple unmanned aerial vehicles (multi-UAVs) in a large-scale area, we propose a genetic algorithm (GA) incorporating simulated annealing (SA) for solving the task region allocation problem among multi-UAVs on the premise that the large area is divided into several small areas. Firstly, we describe the problem to be solved, and regard the task areas allocation problem of multi-UAVs as a multiple traveling salesman problem (MTSP). And the objective function is established under the premise that the number of task areas to be searched by each UAV is balanced. Then, we improve the GA, using the advantages of the SA can jump out of the local optimal solution to optimize the new population of offspring generated by GA. Finally, the validity of the algorithm is verified by using the TSPLIB database, and the set MTSP problem is solved. Through a series of comparative experiments, the validity of GAISA and the superiority of solving the MTSP problem can be demonstrated.
Study on convolutional recurrent neural networks for speech enhancement in fiber-optic microphones
Authors: Peng Wenli , Zhen Shenglai , Chen Xin , Xiong Qianjing , Yu Benli 
Published: April 2022

Abstract
In this paper, several improved convolutional recurrent networks (CRN) are proposed, which can enhance the speech with non-additive distortion captured by fiber-optic microphones. Our preliminary study shows that the original CRN structure based on amplitude spectrum estimation is seriously distorted due to the loss of phase information. Therefore, we transform the network to run in time domain and gain 0.42 improvement on PESQ and 0.03 improvement on STOI. In addition, we integrate dilated convolution into CRN architecture, and adopt three different types of bottleneck modules, namely long short-term memory (LSTM), gated recurrent units (GRU) and dilated convolutions. The experimental results show that the model with dilated convolution in the encoder-decoder and the model with dilated convolution at bottleneck layer have the highest PESQ and STOI scores, respectively.
Continuous blood oxygen estimation using PPG based on VMD
Authors: Tang Youyuan , Li Min , Wei Zijian 
Published: April 2022

Abstract
Existing photoplethysmography(PPG) signal is extremely susceptible to interference from baseline drift, and the training interval of traditional algorithms is basically fixed between 80% and 100%, which leads to the low accuracy of blood oxygen detection, especially in patients with severe hypoxemia. Based on the PPG acquisition system developed by ourselves, we use moving average filtering and variable mode decomposition(VMD) to remove high-frequency and baseline drift interference, and use the 30%-100% SpO2 data interval of the Fluke ProSim8 vital signs simulator as the SpO2 algorithm guarantee. Finally, the paper proposed a continuous blood oxygen saturation measurement algorithm based on VMD. The final experimental results show that in the five types of patient data of the simulator, high-precision measurement can be ensured in the normal SpO2 range and in the low SpO2 or even ultra-low SpO2 range; at the same time, the sensitivity of the algorithm to SpO2 is better than that of the reference oximeter. The response speed is faster; finally, in the process of detecting simulated apnea, compared with the reference oximeter, the error of the blood oxygen saturation in the stable interval is ±1, the error of the lowest SpO2 is ±3, and the calculated consistency of the blood oxygen reduction duration reaches 89.10%.
An Accelerated Proximal Extragradient Method with Applications in Representative Selection
Authors: Fang Changjie , He Liangsong 
Published: April 2022

Abstract
Proximal algorithms has the advantages of low iteration cost and fast convergence speed, and is a common method for dealing with sparse structures. In this paper, we present an accelerated proximal extra-gradient method for figuring out the representative selection problems. We proved the convergence of the algorithm we proposed. Moreover, we apply our method to solve representative selection problem. Numerical experiments illustrate the advantages of our method.
A hybrid model with dual channel feature processing for short-term photovoltaic power prediction
Authors: Yao Jing , Chen Yuanhao , Yang Siyuan , Wang Yuhui , Li Tao , Zhu Bo , Cheng Guanyin , Liu Xueqin 
Published: April 2022

Abstract
Adverse effects of random fluctuations and intermittent characteristics of solar irradiance usually hamper the proper operation of the photovoltaic power grid. It is therefore desirable to improve the accuracy of photovoltaic (PV) power prediction. In this work, PV forecasting is realized through a Bayesian optimized model which combines the long short-term memory and radial basis function neural network (BOA-LSTM-RBF). The hybrid model presents a dual channel feature processing by extracting the historical data of PV generation via long-short-term memory network (LSTM) and extracting the forecasted weather conditions via radial basis function neural network (RBF). Then the number of hidden layer neurons and the training batch size are simultaneously optimized by & the Bayesian optimization algorithm (BOA). The testing results of three stations demonstrate that, compared with other available models, the RMSE values of BOA-LSTM-RBF model decreased by 2% ∼ 17%, which has striking advantages in prediction precision and generalizability. More interestingly, high-precision PV power forecasting can be achieved even under dramatic weather changes.