bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of vibration characteristics of cylindrical linear induction motor
Authors: Liu Wei , Xu Jin , Huang Chuibing 
Published: September 2019

Abstract
Due to the non-periodic operation of the cylindrical linear induction motor, the vibration characteristics cannot be studied by the conventional steady-state method. In this paper, the finite element modal analysis method is used to describe the natural vibration characteristics of linear motor with different connection conditions, and the contribution factors of modal on the overall vibration are quantitatively analyzed. Besides, the modal change law of linear motor is analyzed, and the transient dynamics method is used to investigate the transient forced vibration characteristics of the linear motor during the movement of the mover. The research shows that the elastic connection can greatly reduce the natural vibration frequency of the linear motor; when the excitation force is applied, the mover bracket is the most easy to vibrate; the motion of the mover has little effect on the linear motor mode, and the difference is reflected in the different mode of stator because of the different relative position of mover and stator.
Solutions optimization of decreasing rail friction for bolts mechanical power consumption
Authors: Xu Jian , Yang Zhen , Li Qiang 
Published: September 2019

Abstract
In other to save energy, several countries recently made laws related to mechanical power consumption. Motion Acceleration is known to affect the mechanism power. In order to reduce the minimal driving power, the gun bolts velocity and the main roller relative to whole body and the right-and-left rail and obliquity of rail are researched. The result indicates that the best situation is minimum acceleration of bolt group cam and the main roller relative to whole body is zero, and it is good in non-altitude difference with bilateral angle. The optimization results show that in the case of high rate it is very good to low rate, and the force prompt drops as the high fire ratio to low ratio.
Study on simulation model and performance test of locomotive anti-skid valve
Authors: Lu Yi , Zhou Jinhao , Guo Bin 
Published: September 2019

Abstract
When studying the comprehensive performance of the anti-skid valve, the test of the curve characteristic lacks theoretical basis in the brake anti-skid process and the mathematical equations are difficult to derive. Take a domestic locomotive anti-skid valve as the research object. Combine with the physical structure parameters of the anti-skid valve and the working principle of inflating and exhausting. A simulation model of the anti-skid valve was established by using MATLAB/Simulink, which included the motion equation of valve core and diaphragm plate, electromagnetic suction equation of electromagnet and air chamber charging and exhausting equation. The characteristics of the air pressure curve of the anti-skid valve under different control signals were analyzed. In order to verify the correctness of the simulation model, a set of locomotive anti-skid valve comprehensive performance test bench based on STM32 was built for experimental verification. The results show that the simulation results are consistent with the experimental results, meet the test requirements, and verify the accuracy of the model. This model provides a theoretical basis for structural optimization of anti-skid valves and analysis of locomotive braking anti-skid performance.
A study on large parts precision docking method based on 6-axis industrial robot
Authors: Guo Rui , Du Jinsong , Zheng Dechao , Lu Bolin , Yin Jian 
Published: September 2019

Abstract
In view of the docking assembly difficulties of spacecraft large parts, resulting from the irregular contour and the inadequacy of process clamping points, this paper puts forward a method fitting the attitude relations of the docking parts based on the coordinates of the feature points, obtaining the target attitude of the docking parts based on the process constraints, and controlling 6-axis industrial robot achieves precise docking of large parts. Firstly, the composition of the large parts docking system is introduced, and the docking model is described by the selection of the measurement feature points and the establishment of the coordinate system. After that, a docking control algorithm based on the attitude constraints of large parts is established. Finally, In the RobotStudio and Matlab co-simulation environment, the attitude adjustment process of the large parts is simulated. The simulation results show that this study provides an effective method for precision docking of spacecraft engine large parts based on feature points, which is completed by 6-axis industrial robot.
Kinematic analysis and visual grasping algorithm of collaborative robot
Authors: Liu Li , Zhang Dongmei , Gao Yi 
Published: September 2019

Abstract
This paper mainly studies the kinematics analysis and visual capture algorithm of collaborative robots. First, the mechanical structure of the cooperative robot was analyzed. Then, the kinematics equation of the cooperative robot was solved by numerical iterative method. The correctness and rapidity of the algorithm were verified by simulation. Finally, a visual compensation method based on image edge contour features is proposed. The multi-target area processing was used to realize the positioning of the workpiece’s three-dimensional spatial information, and the collaborative robot was guided to capture the operation to ensure the positioning accuracy.
Research on seismic performance of composite concrete slab with no-protruding rebar shear wall joints
Authors: Xie Yonglan , Wang Dongyan , Qi Hu , Liu Kang 
Published: September 2019

Abstract
Precast concrete composite slab is one of the most widely used precast elements in civil engineering, which is suitable for all kinds of prefabricated concrete structure. The longitudinal bars at the bottom of precast slab extend beyond the ends of it, which brings a lot of inconveniences in fabrication, transportation and installation. In order to avoid those disadvantages of traditional precast concrete composite slab, a new no-protruding rebar concrete slab shear wall joint is developed in this paper. And five concrete slab-shear wall joint specimens were fabricated to research the joint structure of composite slab with no-protruding rebar but including additional rebar. In order to verify the seismic performance of the new concrete slab-shear wall joint, Pseudo-static testing of those specimens were carried out and the bearing capacity, stiffness, ductility and energy-dissipating capacity of different specimens were compared. The experiment results show that the additional rebar is necessary to the joints of composite slab with no-protruding rebar shear wall to ensure the seismic reliability of the joint connection; the bearing capacity and ultimate deformation of the new no-protruding rebar concrete slab-shear wall joint increase with the increasing of the lapped length of additional rebar.
Optimization design of structure parameters of dynamic recoil device
Authors: Li Peng , Chen Yongcai , Yang Yuliang 
Published: September 2019

Abstract
The muzzle dynamic recoil device for guns was designed. The optimization of dynamic recoil device was studied in detail. Using the MATLAB optimization toolbox, a series of optimized parameters of dynamic recoil device were got. By compared the results of dynamic recoil test with live-fire of the gun, the rationality and practicability of the dynamic recoil device has been proved. It is also proved that the muzzle dynamic recoil device can meet the dynamic recoil test requirements of guns.
Application of a multi-input multi-output (MIMO) nonlinear non-minimum phase system control method to hydro turbine unit
Authors: Wang Wancheng , Qiu Song , Xu Jiao 
Published: September 2019

Abstract
In this paper, in view of the non minimum phase characteristics of hydraulic turbine unit, a method of designing the controller of multi-input multi-output (MIMO) nonlinear non-minimum phase system is proposed and applied to hydraulic turbine unit system described by double control input fifth order model. The turbine output electromagnetic power and generator power angle are stabilized by wicket gate opening and excitation combined control. Firstly, the method for designing the controller of multi-input multi-output (MIMO) nonlinear non-minimum phase system is introduced. The method is based on state feedback theory, pole assignment theory and Lyapunov stability theory. Secondly, the control law of hydro turbine unit is given according to the method. Results of simulation indicate that this nonlinear non-minimum phase controller has a good effect when applied to the hydro turbine unit.
Dynamic modeling and simulation of 4X4 wheeled vehicle
Authors: Chen Yijie , Zhang Yafeng , Du Fu , Wang Le , Wan Yiqiang 
Published: September 2019

Abstract
In view of the requirements of military vehicles for high-mobility off-road performance, the dynamic modeling of 4X4 wheeled armored vehicles was carried out. The dynamic model expression expressed in matrix form was derived, and the decoupling calculation was performed by Fourier transform. After that, the power spectral density function was used to characterize the random road input of the vehicle, and the coherence of each wheel excitation in the four-wheeled vehicle was analyzed to derive the coherence coefficient. Finally, the calculation method of vibration response of vehicles under typical roads was formed by programming analysis and reasonable algorithm, and it provided theoretical support for suspension vibration isolation performance design.
Optimization effects of design parameter on the first frequency modal of a Bridge-type compliant mechanism flexure hinge by using the Taguchi method
Authors: Wang Chia Nan , Truong Kim Phung , Huynh Ngoc Thai , Nhat Hoang Le Quang 
Published: September 2019

Abstract
The compliant mechanism always requests high displacement amplification ratio and high vibration frequency. Therefore, this paper optimized design parameters to obtain the maximum value of the first frequency modal shape using the Taguchi method. First, the model was designed by Solidworks. Second, effect design parameters on the first frequency modal shape were analyzed via ANSYS Workbench 18.0, and the final the maximum value of the first frequency modal was obtained by the Taguchi method. The simulation results revealed that the thickness and width of flexure hinge has a significant effect on the first frequency modal. The S/N analysis results demonstrated that the thickness of the flexure hinge has a significant affect next to the width of the flexure hinge, inline angle between two flexure hinges, input body length, and the fillet radius of the flexure hinge. The ANOVA analysis results identified that the contribution percentage of design parameters and fillet radius of the flexure hinge have a significant effect on the first frequency modal. The R-square was obtained at 99.84%, and the maximum value of the first frequency modal was obtained at 821.8267 Hz.
A research on blind area of random layout units for localization
Authors: Wang Zhizhuan , Li Ling , Li Guijuan , Wang Yang 
Published: September 2019

Abstract
Acquisition distance information of the underwater target is very important to evaluate the target noise level, so it is necessary to do some research on the passive localization method for the underwater target. In this paper, the multi-hydrophone units model is used to passively achieve target localization information in the underwater environment; the accurate DOA estimation and ranging calculation method are presented. The localization blind area problem with different units models is discussed. The blind area problem caused by traditional passive localization model (three units) is solved by the method with four random units, which can locate the underwater unpredictable target in arbitrary direction.
Rapid development of SAR backward projection imaging algorithm based on MATLAB
Authors: Zhang Jiaqi , Li Lianghai , Zhang Zhenhua 
Published: September 2019

Abstract
This paper introduces a kind of FPGA rapid development method to complete the backward projection algorithm of SAR. Firstly, the traditional FPGA development has strict requirements for developers’ software and hardware knowledge. Then we introduce a kind of FPGA rapid development method based on the 2018(a) version of MATLAB’s Simulink of MATLAB. And then, the algorithm is divided into two parts, one is the range pulse compression part, and the other is the backward projection part. In order to make full use of the parallelism of BP algorithm, this paper divides the dates into four parts in the distance direction and the imaging grid is also divided into four parts. The projection grid is still based on the whole grid, which can improve the real-time performance of the algorithm. After the algorithm is modeled in Simulink, the model can be converted to the corresponding FPGA code by using the fixed point tool. The comparison of Scope display results with MATLAB results demonstrates the effectiveness of this MATLAB-based Simulink tool for FPGA development.
Design of marine environmental noise signal generation system based on MATLAB, LabVIEW and FPGA
Authors: Gao Feng , Meng Chunxia 
Published: September 2019

Abstract
Marine environmental noise is a background interference field produced by various underwater sound sources. The characteristics of marine environment vary with time, place and frequency. In order to simulate the marine environmental noise signals with different time-frequency characteristics, a real-time generating system of marine environmental noise signals is designed based on MATLAB, LabVIEW and FPGA. According to the probability distribution of the measured frequency characteristics of marine environmental noise, the random signals with specific frequency response are calculated and generated in real time and continuously. The pool test results show that the signal generation system has the characteristics of stable real-time calculation and signal generation. Based on the marine environmental noise signal generation system designed in this paper, time-domain waveforms with specific spectrum characteristics are generated, which will provide technical support for the research of random signal processing algorithm under laboratory conditions and the performance analysis of underwater acoustic equipment under different marine background conditions.
Research on battery-supercapacitor hybrid energy storage control scheme for mine electric locomotive
Authors: Zhu Longji , Hu Kunmin 
Published: September 2019

Abstract
The starting and acceleration of the mine electric locomotive requires instantaneous high-power output of the power supply. The power density of lead-acid battery is low, which cannot meet the high-power demand of the mine electric locomotive. In order to make up for the shortage of the battery as a single power supply for the mine electric locomotive, A battery-supercapacitor hybrid storage system (HES) with lead-acid battery as main power supply and supercapacitor as auxiliary power supply is proposed. A multi-input DC/DC converter is adopted to control the output of the HES under different working conditions of the electric locomotive, and the bidirectional power control of the HES is realized. The simulation results show that the HES scheme plays a good role in driving and energy feedback of the mine electric locomotive.
Research on pose point cloud matching error compensation method for confocal image assembly
Authors: Zhao Yijin , Ye Xin , Wang Lei , Yu Xinhai , Zhang Heng 
Published: September 2019

Abstract
High-precision matching of spatial poses is the key to ensuring the assembly performance of complex three-dimensional devices. The human eye cannot directly judge the three-dimensional pose of mesoscale devices, and high-precision observation instruments are needed to assist accurate judgment, ensuring smooth assembly. In this paper, based on the three-dimensional assembly system of micro-devices of confocal microscope, it is difficult to realize the problem of assembly alignment of spatial poses in the existing methods, this focuses on solving the problem of how to perform high-precision pose matching by using point cloud data measured through the confocal microscope.A new method for directly performing alignment of three-dimensional poses is proposed. The principle of point cloud registration ICP algorithm is studied, and the theory of point cloud axis hole registration theory is carried out.A neural network about the mapping relationship between the angle calculated by the RT matrix obtained by ICP algorithm and the theoretical angle is constructed. The comprehensive assembly accuracy of the whole method is analyzed to be 2.41μm. Finally, the actual experiment was carried out through the standard hole axis of 3μm for the single-edge gap and assembled successfully.
MPPT control of solar energy collecting circuit based on state estimation of solar cells
Authors: Zheng Mingcai , Zheng Jinbing , Zhao Jinqin , Zhao Xiaochao 
Published: September 2019

Abstract
In order to maximize the power output efficiency of Solar cells and the solar energy collection efficiency of collecting circuit, it is needed to track the real-time status of Solar cells, and force solar cells to work at its MPPT working point by an appropriate control method. Aiming at the solar energy collecting circuit based on Boost structure DC/DC converter, a MPPT control method based on the state estimation of Solar cells (MPPT-SE) is presented. In the MPPT-SE control method, the MPPT current value of solar cells is estimated by detecting solar cells’ output status and estimating its internal equivalent state, and the actual output current of solar cells is controlled to track its MPPT current value by current closed-loop control, this can force solar cells to work near its MPPT working point and maximize the power output efficiency of Solar cells and the solar energy collection efficiency of collecting circuit. The theoretical analysis and experiment results validate that the solar energy collecting circuit based on MPPT-SE method has higher power output efficiency and solar energy collection efficiency.
Online detection method for holes co-axiality of aero-engine
Authors: Fu Qingyan , Hu Tingzhi , Xiao Muzheng , Jin Xin , Pu Yimin , Wang Shiming , Zhang Zhongqing , Zhang Zhijing 
Published: September 2019

Abstract
In recent years, the requirement for the assembly performance of aero-engine is getting higher in the aviation field. As the key indicator which can affect engine performance, the demand of detection accuracy of rotor bearing holes’ coaxial error is increasing. In the engine’s assembly process, the traditional manual mechanical detection cannot measure the assembled holes’ co-axiality directly, and must be carried out by the fixed tools after the trial assembly. This results in the long assembly time, low productivity, and low detection accuracy. An online detection method which can better ensure the products’ assembly quality must be proposed. Based on the analysis of the related research status of co-axiality detection at home and abroad, combined with the laser alignment technology and the axle hole centering measurement technology, an online measurement method based on the laser alignment is proposed, and a co-axiality detection system of the turbofan engine for specific models is introduced, whose centering error is less than 4μm. Besides, a universal co-axiality detection method of the engine rotor shaft hole is obtained, which could optimize the assembly process and improve the assembly efficiency.
The Vehicle collision warning system detects the vehicle ahead
Authors: Deng Ling , Zhou Yan 
Published: September 2019

Abstract
In the field of computer vision and deep learning, vehicle identification is an important subject, which can be applied to the traffic auxiliary system, which can greatly reduce the occurrence of traffic accidents. In this paper, a large number of positive and negative samples are collected, and the algorithm of AdaBoost cascade classifier is used to train the classifier based on Haar feature and LBP feature. Finally, the selected feature and classifier are used for testing. Experimental results show that both of the two eigenvalues have better characteristics and higher detection accuracy when detecting the target vehicle, but LBP features have a faster detection speed, while Haar features have a higher accuracy.
Design of inter-stations H∞ decoupling controller in VSC-HVDC system
Authors: Yu Yu , Li Hongliang , Chen Qijiang , Tian Ye , Xu Lichao 
Published: September 2019

Abstract
The purpose of this work is to reduce the mutual interference between converter stations when the AC power or DC voltage fluctuates in VSC-HVDC system. The global small signal mathematical model of VSC-HVDC system is established firstly. Then, according to the principle of mixed sensitivity H∞ robust control, the appropriate weight function is selected and the decoupling controller between stations is deduced. In addition, the high-order controller deduced is reduced to an appropriate order which is beneficial to engineering application by using the balanced truncation method of coprime factors. Finally, the electromagnetic transient simulation is carried out to verify that the H∞ decoupling controller between stations can be effectively weakened the interaction between two converter stations and improves the dynamic performance and robust stability of the system.
Fault diagnosis of power grids based on grey relational analysis
Authors: Lu Huayong , Guo Hongzuo , Liu Zhe , Yang Xiao , Leng Bing 
Published: September 2019

Abstract
A fault diagnosis method of power grids was presented based on grey relational analysis in this paper. For each suspected fault line in the power cut area, the grey relational of original characteristics sequence, amplitude and energy are calculated by using the current sampling value before and after the fault time. Then an active reference line was selected, followed by the calculation of the horizontal grey correlation between reference line and suspected fault line according to current sampling after the fault. Finally, the longitudinal grey relational degree and the horizontal grey relational degree of each line are weighted and fused to obtain their comprehensive grey relational degree, and the fault criterion is given to identify the faulty component accurately. The simulation results of the IEEE 14-node system show that the fault elements can be identified under different fault locations, various fault types and different transition resistances accurately.
Research on fault analysis of pumping station units based on stack auto-encoder
Authors: Zhao Linzhang , Gao Chenghao 
Published: September 2019

Abstract
The stack Auto-encoder is applied to the fault analysis of pumping station units, and a fault analysis model based on stack automatic encoder is constructed. The model consists of an input layer, 3 hidden layers and an output layer to realize feature extraction and dimension reduction of the monitoring data of the pumping station unit. The network uses unsupervised layer-by-layer greedy methods to train, then uses backpropagation algorithms to optimize network parameters and uses the softmax classifier for classification. The experiment proves that the average classification accuracy rate of unit failure and different working conditions reaches 79.8890%, which can provide a certain reference for unit failure analysis.