bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Improved EKF Algorithm for SOC Estimation of Lithium Battery Considering Temperature Effects
Authors: Zhao Moxuan 
Published: December 2022

Abstract
In order to improve the estimation accuracy of the state of charge (SOC) of lithium-ion power batteries during use, an estimation method that considers different temperature effects is proposed in this paper. First, the second-order resistor-capacitor (RC) circuit model is selected as the research model based on a comparative analysis of different models. Then, the parameters in the circuit model are identified online in real time under different temperatures to analyze the temperature effects on internal parameters. Lastly, the noise variance can be automatically adjusted according to the environment by using the improved extended Kalman filter (EKF) algorithm with the differential evolution algorithm, which optimizes the fixed process noise variance in the original EKF algorithm. The changing noise variance is substituted in the original EKF algorithm to estimate SOC under cycle working conditions online. The results show that the improved EKF algorithm increases the estimation accuracy of the SOC of lithium batteries. Using the improved EKF algorithm, the estimated value can quickly converge to the actual value at different temperatures, and the SOC error remains within 2% in the whole estimation process.
A 3D reconstruction method for rapid warehousing and acceptance of satellite batch production lines
Authors: Zhang Yangyang , Wang Dong , Wei Peng , Qu Jiajie 
Published: December 2022

Abstract
The inspection of parameters such as payload flatness and interface accuracy of mass-produced satellite components is mainly completed manually by using special measuring tools. Because of its low inspection efficiency, insufficient batch inspection methods, and low degree of automation, it is impossible to continuously and stably complete high-quality inspections. Due to the shortcomings of repetitive and intelligent inspection work, a visual inspection system for fast warehousing and acceptance of satellite batch production lines based on machine vision is proposed. The multi-sensor camera is used for image acquisition, and the non-contact three-dimensional information acquisition is completed through the calculation of the three-dimensional reconstruction algorithm. The optical scanner based on multi-sensor fusion visual inspection integrates the robotic arm and the rotary table for automatic integration to realize a flexible automatic inspection scheme with seven degrees of freedom. The experimental results show that the detection system can accurately detect the size, flatness, and surface defects of satellite components in batches, and the detection accuracy can reach 0.01mm.
Application Research of Virtual Simulation System Based on Visual Tightening
Authors: Ruan Shouxin , Zhang Yiwen , Li Xin , Qi Zhengjie , Gao Yan , Yu Zhenglei 
Published: December 2022

Abstract
In view of the technical risks involved in the design, for development and manufacturing of visual equipment and smart equipment, factors such as long equipment development cycles were analyzed, and a truly reliable method for constructing a virtual simulation system of a virtual robot was proposed. Through the link based on OPC transmission protocol, the mechatronics MCD platform, the TIA platform, XSplit and Halcon were reorganized, and a virtual simulation system for visually guided robots was constructed for the first time in industrial production. In the real physical prototype experiment, it is recommended to eliminate the real and virtual CCD cameras through an online correction to maximize the effect of distortion. Experimental results prove that the virtual simulation system has high reliability and certain industrial promotion value.
Switch Matrix System for Automatic Test Path Finding Algorithm
Authors: He Xianzhuan , Liu Xiaolu 
Published: December 2022

Abstract
This paper introduces a switch matrix system that uses a configurable switch matrix to realize test channel switching. Through this configurable switch matrix system, N channels to be tested can be connected to N channels to be tested according to user requirements. Since the design of each node of the switch matrix is similar, it is convenient to expand and reduce horizontally and vertically according to the requirements. Switch Matrix adopts a double-layer design, which can obtain the optimal connection path between the tested channel and the tested channel with a path search algorithm.
Research on Grey Wolf Optimization Algorithm Based on Adaptive Adjustment Strategy
Authors: Qin Hongwu , Wang Lizheng , Sui Muxuan , Si Chunyou 
Published: December 2022

Abstract
A grey wolf optimization algorithm based on an adaptive adjustment strategy (Improvements-Grey Wolf Optimization, IGWO) is proposed in this paper to address the issues with the Grey Wolf Optimization (GWO) algorithm, which has a slow convergence speed in the later stages and where the local search and global search cannot be taken into effective balance. First, a chaotic logistic map is used to initialize the population. Next, an inverse trigonometric function-based mathematical model is developed to achieve convergence purposes. Finally, a new location update method is used to update the next-generation location to improve search traversability. Additionally, the CEC2013-Benchmark standard test function was used to evaluate the benefits of performance compared to the standard GWO, PSO, and DEGWO (DE-Grey wolf optimization) algorithms. The improved GWO algorithm has greatly increased the convergence speed, search capability, and stability. It performs better than the other three algorithms as well.
EEG Signal Denoising Based on Deep Residual Shrinkage Network
Authors: Zhao Haoyan , Guo Bin 
Published: December 2022

Abstract
In recent years, EEG signals are usually denoised by traditional algorithms, which suffer from large amounts of computation, a limited number of channels, or modal aliasing. To achieve better denoising, a deep residual contraction network is proposed to denoise EEG signals. At the same time, on the basis of the original residual shrinkage building units, a new soft threshold module is used to replace the ReLU function to construct a new network model. Through different groups of denoising experiments, the effectiveness of this denoising algorithm is verified.
Research on Servo Control Algorithm of Photoelectric Stabilized Platform Based on Sliding Mode Active Disturbance Rejection
Authors: Liu Dongmei , Tan Ligang , Guo Shuai , Qin Yingjie , Li Xuejun 
Published: December 2022

Abstract
Aiming at the problems of parameters to be modified and the indistinct physical meaning of the photoelectric stabilization platform control based on the principle of active disturbance rejection, a sliding mode active disturbance rejection control algorithm is proposed. The mathematical model of the control system of the two-axis optoelectronic stabilization platform is established. The external disturbance and various order states of the airborne optoelectronic stabilization platform are estimated in actual time by using the extended state observer, and the optimal control function is constructed by the sliding mode reaching law to complete the nonlinear reactive reactance. The optimization of the disturbance controller structure is carried out, and the algorithm is verified by Matlab simulation. The simulation results show that after the photoelectric stabilization platform adopts the sliding mode ADRC controller, it not only retains the advantages of strong nonlinear ADRC resistance to load disturbance, but also can effectively suppress the external disturbance and realize the high-precision position of the photoelectric stabilization platform control.
Point cloud registration method based on Particle Swarm Optimization algorithm and improved ICP
Authors: Zhu Guokai , Li Chunmei , Zhong Yuexi 
Published: December 2022

Abstract
In order to achieve accurate wheel gripping by truss manipulators, accurate point cloud alignment of train wheels is required. In this paper, the wheels are detected by binocular laser displacement sensors. And accurate point cloud alignment is achieved by using the point cloud denoising and streamlining algorithm, particle swarm-based algorithm, and improved ICP algorithm for 3D point cloud data. The experimental results show that reducing noise and data volume can improve the stitching effect and alignment efficiency of 3D point cloud models. The algorithm of this paper is experimentally verified to be 43% better in error accuracy and 93% faster in time-consuming than the traditional ICP algorithm, which verifies the effectiveness of its method.
Research on Surface Defect Detection Technology of Flywheel Disc Semi-Finished Products Based on Deep Learning
Authors: Shi Guangfeng , Mao Yuhang , Che Jianwei , Guan Yanji 
Published: December 2022

Abstract
In order to avoid the disadvantages of traditional methods such as low detection efficiency and poor detection quality, this paper designs and develops an intelligent detection system based on Faster R-CNN algorithm for the problem of detecting surface defects on the flywheel disc semi-finished products. A new network based on the ResNet50 network can better catch and describe the surface defects. Based on the k-means++ clustering analysis algorithm, the anchor generation rules are optimized. The experimental results show that the average accuracy of the optimized algorithm is improved. And the detection accuracy of small defects has been greatly improved. The feasibility and effectiveness of the optimized algorithm are verified.
Mechanical Analysis and Optimization of a new Cylindrical Splicing Clamp
Authors: Feng Yu , Wu Shaolei , Wu Kai , Han Wentao , Wang Wei 
Published: December 2022

Abstract
Cylindrical splicing clamp is a new type of splicing clamp designed based on a wedge-shaped self-locking principle for a 10kV distribution circuit. The clamp has the advantages of a simple structure, convenient operation, and a wide range of applicable wire diameters. In this paper, a 3D solid model of the cylindrical connecting clamp is established by using SolidWorks three-dimensional software, and then the preliminary analysis is carried out by using the Solidworks Simulation module, and the structure is improved according to the analysis results. Finally, the improved structure in ANSYS Workbench static structural module is used for finite element analysis to verify the effect of structural optimization. The results show that the structure of the optimized cylindrical splicing clamp avoids the possible problems of excessive stress concentration and uneven stress of various parts before optimization.
A new method for solving arcs of pantograph network based on Newton’s iterative method
Authors: Liu Dawei , Wang Zhe , Gao Zhiwei , Ye Zhihong , Wang Yunfeng , Zuo Shaoqi 
Published: December 2022

Abstract
It has been verified that the discharge pulse generated by the pantograph-catenary system has the biggest impact on the high-speed EMU as the electromagnetic interference source. But the spectrum obtained from the existing pantograph discharge model does not contain high frequencies and is far from the measurement results. In this paper, a novel scheme based on Newton’s method and finite difference time domain (FDTD) algorithm was presented to solve this problem. Firstly, Newton’s method was utilized to solve the Habedank model, and the dynamic conductance of the arc was obtained. Then, the equivalent distributed parameter circuit model of the traction power supply system was established, which was solved by the FDTD and state variable method to obtain the time-domain waveform of the arc voltage. The significant features of this scheme are that it can realize the synchronous calculations of the arc dynamic conductance and the voltage responses along the catenary. Through this scheme, a stable arc voltage time domain waveform can be obtained, and the arc voltage spectrum is highly consistent with the test results.
Design and Implementation of Pulse Diagnosis Instrument Based on Wavelet Transform
Authors: Wu Ruiqi , Xiao Jun , Zhao Fangpu 
Published: December 2022

Abstract
Aiming at the subjective factors in the process of TCM diagnosis, this paper designed a portable TCM pulse-diagnosis instrument. And the body state and pulse information of the user was collected by simulating the diagnosis mode of “looking, listening, questioning, and feeling the impulse”, and finally, the disease was diagnosed, and the corresponding treatment plan was proposed. STM32 is used as the main control chip, while the thin-film varistor is used as the pressure sensor to collect the pulse information of the human body. After filtering the EMG and power frequency interference by the wavelet transform algorithm, the convolution neural network algorithm is used for real-time classification and diagnosis of pulse signals to achieve the purpose of disease diagnosis. Through the experiment, it can be seen that the similarity between the pulse signal collected by the pulse detector and the ideal pulse signal is above 83%, which meets the design requirements and can realize the basic functions.
Non-intrusive closed-loop current sensor based on tunneling magnetoresistance
Authors: Deng Hui , Qian Sen , Huang Hui , Huang Feng 
Published: December 2022

Abstract
In this paper, a non-intrusive closed-loop current sensor based on high-sensitivity tunneling magnetoresistance (TMR) were demonstrated. Using the finite element modeling based on Maxwell’s electromagnetic theory, the distribution of magnetic field on the closed-loop magnetic flux concentrator (MFC) was calculated with a copper busbar passing through the center. Two different types with “slot” and “hole” were designed to place TMR sensors for the detection of the magnetic field generated by the working copper busbar. A secondary winding around MFC generated a reverse magnetic field to completely offset the magnetic field of the primary current, which realizes the real-time adjustment and monitoring of the current by the TMR sensor with magnetic flux balance. Moreover, the simulated results show that the performance of slot-gap MFC is better than that with hole-type design. Utilizing the experimental TMR sensor with sensitivity of 10 mV/V/Oe and linear field range of ±40 Oe, the monitoring current can reach up to 200 A. The described application in the current monitoring demonstrates the functionality and feasibility of TMR sensors.
Pressure resistance and dynamic response analysis of different magnetic blood pump base
Authors: Lu-Lu Zhao , Peng Zhou 
Published: December 2022

Abstract
This paper aims to explore the pressure resistance and vibration resistance performance of different magnetic blood pump base materials to help obtain the best material suitable for a centrifugal blood pump base. We establish a centrifugal blood pump model through CREO and combine it with ANSYS for simulation analysis, exploring the pressure resistance of PC, PVC, PP, PE, PA, POM, PBT, and ABS, and then the vibration resistance was investigated by dynamic response analysis. The results show that under the same conditions, pressure resistance is as follows: PVC > PE > POM > PC > ABS > PBT > PA > PP; vibration resistance is PE > PVC > ABS > PC > POM > PBT > PA > PP. PE with 2-mm thickness is the best choice of the base; at this time, the maximum deformation of the base is 0.133 mm, the maximum stress is 3.188 MPa, the first order frequency is 1311.6 Hz, and the maximum amplitude is 0.54 mm, which meets the requirements of the safety design.
A fast TDOA and VDOA estimation method of the wideband frequency hopping signal
Authors: Zhu Yi , Wu Guizhou , Guo Fucheng , Liu Zhao , Ruan Chen , Zhang Wenjun 
Published: December 2022

Abstract
In the mobile multi-station passive positioning scenario, the carrier frequency hopping of the wideband frequency hopping communication signal will produce a changing Doppler frequency shift. Therefore, it is not possible to directly estimate the Doppler frequency difference of the observed signal containing multiple pulses. In this case, only the time difference and frequency difference of the single-hop signal can be estimated, but the accuracy is low. The existing methods often need the carrier frequency of each FH pulse signal as a priori information, and the high computational complexity of the two-dimensional search method of the time difference and frequency difference is difficult to overcome. Aiming at the above problems, a fast and high-precision estimation algorithm for the time difference of arrival and velocity difference of wideband frequency hopping signals is proposed in this paper. Firstly, the wideband frequency hopping signal is segmented in the time domain with multiple pulses as the unit, the signal model of time-varying time difference is established, and the time difference of each short-time segment is estimated by the generalized cross-correlation algorithm. The estimated values of the initial time difference and Doppler velocity difference can be worked out by least squares fitting of the time difference sequence obtained from the single pulse estimation. Finally, taking the Link16 data link signal as an example, the simulation experiment of the proposed method is conducted, which verifies the correctness and performance superiority of the algorithm.
Experimental study on step characteristics of inchworm linear micro-actuator
Authors: Zhang Linxiang , Cao Kaihua , He Xuewen 
Published: December 2022

Abstract
Few studies have quantitatively analyzed the relationship among the step distance, the driving voltage, and driving frequency of the inchworm linear microactuator, which cannot achieve accurate control of the micro-actuator. What’s more, the parameter setting rule is not clear. In this paper, the relationship model among step distance, voltage, and frequency is studied through theoretical derivation and experimental analysis. The parameter setting conditions of the drive signal are analyzed, and the waveform is modified to improve the stability of the micro-actuator. The theoretical model of micro-driver step prediction is established by using the non-linear Support Vector Machine (SVM) regression theory and Gaussian radial basis kernel function and verified by experiments.
Research on the Influence of Permanent Magnet Loss of Excitation Fault on Performance of Permanent Magnet Synchronous Motor
Authors: Jiang Lu 
Published: December 2022

Abstract
This paper discussed the performance changes under a rated operation state and permanent magnet loss-of-field fault of a 5KW permanent magnet synchronous motor (PMSM) in a 200 mm shaftless rimless thruster. These changes in key parameters include air gap flux density, back electromotive force, output torque, current and magnetic field. Using the changes in these parameters to analyze the running state of the motor provides a reference for the early fault diagnosis of a permanent magnet synchronous motor at the simulation level.
Research on Power System Matching Scheme Design of Four-Wheel Drive Pickup Truck
Authors: Mao Lixiang , Zhang Kun , Meng Fanzhao , Li Yinuo 
Published: December 2022

Abstract
Automobile power matching is one of the important links in the early stage of automobile research and development, which will directly affect the performance of automobile power. According to the basic parameters and technical requirements of the four-wheel drive pickup truck, the automobile power matching scheme is designed, and the parameters of the automobile power transmission system are determined. The automobile power performance is compared and analyzed from the aspects of driving force and adhesion rate, and the optimal power system matching scheme of the four-wheel drive pickup truck is completed.
Research on Improvement of Synchronous Tensioning Device of Belt Conveyor
Authors: Bao Jihua , Feng Yibo , Liu Xiaolong 
Published: December 2022

Abstract
Under complex working conditions in the mines, the belt conveyor’s tensioning device is prone to uneven tension. Given this problem, the error of the shunt of synchronous motors is analyzed, and a synchronous tensioning device with double cylinders is designed by using a synchronous motor and a PID controller. Simulation analysis is carried out to verify the rationality and effectiveness of the optimization design. It can provide a corresponding reference for the design and use of the belt conveyor synchronous tensioner system.
Design of Redundant Manipulator System for Water Injection of EMU Train
Authors: Zheng Shicheng , Fu Yongling , Sun Jian , Liu Ziyu 
Published: December 2022

Abstract
Robots are known as "the Pearl at the top of the crown of manufacturing." As the most common kind of robot, the multi-degree-of-freedom manipulator has its reliability, lightweight, integration, and modularization, which are the focus of researchers. Based on the background of injecting water into the EMU train, this paper uses the water feeding manipulator (WFM) to completely replace the manual operation and researches the key technology of the redundant manipulator system. At the component level, a new type of planetary thread roller bearing (PTRB) is used as the main bearing component of the manipulators’ joint. For joint, two integrated joint modules (IJM) are developed based on PTRB to be an option for IJM with a high power-weight ratio and high reliability. Finally, for the system, according to the fault-tolerant performance requirements of the task point, the redundant manipulator system architecture is proposed, the mechanical body is set as the redundant structure, the driver and controller are dynamically reconstructed, and the control algorithm and fault diagnosis are fault-tolerant. The failure rate is 3.257×10-8/h, laying the foundation for the realization of a fully automatic and intelligent train water supply.
On-board Dynamic Measuring of Long-wave Track Irregularity based on Visual Inertial Fusion
Authors: Chen Shiming , Wang Hao , Li Hailang , Wei Zhongtang , Zheng Pengxu , Wei Shibin 
Published: December 2022

Abstract
This paper studies an inspection method to measure the long-wave track irregularities using the signals of IMU (Inertial Measurement Unit) and Laser & Camera installed on a bogie, which is implemented in comprehensive inspection trains. To reduce the influence of random noise and vehicle vibration, the mechanical structure is optimized; the spatial-dependent change of the "two-point chord" on the track is observed by high-precision FOC (Fiber Optic Gyroscope) and laser camera components; the angular velocity measurement method is deduced. To eliminate high-frequency attenuation of the signal, a sensor fusion algorithm based on the concept of complementary filters is presented. The angular velocity-based method is also used to measure low spatial frequencies, while the acceleration-based method is used to measure high spatial frequencies. The measurement accuracy of the system is evaluated from two aspects: internal and external coincidence accuracy. The test shows that the repeatability accuracy of the system to alignment and profile of the wavelength of 200 m is 0.5 mm and 0.8 mm, respectively, and the trend item and the line design value maintain good consistency.