bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Stirling Engine Structure and Assembly Technology by Virtual Reality Technology
Authors: Wang Zhikun , Yang Xusheng , Gao Linlin
Published: October 2020

Virtual reality technology is a simulation technology that makes the display world more realistic with the help of computer technology. It is one of the hotspots of research and application in recent years, and its application field is very wide. Under this background, this paper introduces the concept and characteristics of virtual reality technology, and analyzes the structure and assembly process of Stirling engine by using three-dimensional parametric modeling software Unigraphics and virtual reality editor software VRP Bulider.
Design and Research of Sorting Device for Change Back Meter
Authors: Liu Ying , Peng Xinxia , Li Liang , Lu Guanna , Zhang Wei , Wang Huinan
Published: October 2020

Design and research a sorting device for dismantling electric energy meter. The gripping mechanism of the gripping electric energy meter is designed. By moving and rotating, multiple electric energy meters can be caught to different positions, and the sorting efficiency is improved. Set up a second line body to provide multiple blanking positions for placing different fault types to solve the problem of single sorting position. The lifting mechanism and the supporting plate are set, and the lifting and lowering mechanism of the lifting mechanism is controlled by the control system, so that the electric energy meters are equidistantly classified, the beat of the unloading is controlled, and the unloading requirements of the unloading robot are met.
Correlation Analysis and Forecast of Power Demand Based on Economic and Meteorological Factors
Authors: Yang Junyi , Ge Yi , Xie Zhenjian , Huang Junhui , Li Hu , Zhou Hui
Published: October 2020

Because the economic and meteorological factors are closely related to the level of power demand, this paper establishes an index system for the upstream and downstream industrial chains of important economic and leading industries. The XGBoost algorithm is used to study the quantitative indicators of economic and meteorological factors, and to analyse the time-difference relationship between the economy of the typical city Nanjing, the upstream and downstream industry chain indicators of the leading industry and the power indicators. Through the relevant data of the Nanjing Power Grid, this paper establishes and quantifies a model of the relationship between the economic and industrial chain information and power systems in Nanjing, and predicts the load in the future.
Research on the Causes of the Accurately Locating Line Loss Exceptions by Querying the Power Consumption Information Acquisition System Based on the Big Data Platform
Authors: Zhu Xiaoying , Jin Xinsheng
Published: October 2020

The combination of a power user information collection system with a two-way interactive platform for power business has constructed intelligent power consumption big data for the energy flow, information flow, and business flow of the power grid and customers. Aiming at the problem that the current distribution network transmission line loss anomalies cannot be traced and difficult to locate, based on the data collected by the measurement automation system, through the management of station, line, transformer, and household data, the use of data mining and analysis technology will The factors of line loss are analyzed. Through the intelligent diagnosis model of line loss abnormality, it analyses the abnormal causes that affect line loss in real time, promotes the transformation of low-voltage line loss management from result management to process management, improves the power supply operation efficiency and management level, reduces the operating costs of enterprises, and improves the economic benefits of enterprises.
The Method of BP Algorithm for Genetic Simulated Annealing Algorithm in Fault Line Selection
Authors: Song Yueyang , Huang Hongquan , Chen Yanming
Published: October 2020

Aiming at the shortcomings of low accuracy and poor applicability of the traditional ground fault line selection method for small current grounding systems, an BP neural network algorithm based on genetic simulated annealing algorithm (GSAA-BP) is used to select the fault line. This algorithm not only avoids the extortionate proportion of the initial weight and threshold of the traditional BP neural network, but also improves the population diversity by changing the crossover and mutation probability of the genetic algorithm. It avoids the result of the algorithm converge to a local optimum. Comparing with other BP neural network algorithms shows that this method in training has higher convergence speed, better complex adaptability and more accurate judgment accuracy.
Research on the system performance of SAC-FBGs codec scheme
Authors: Gao Huan , Zhang Tingze
Published: October 2020

The theory of codec based on non-coherent frequency domain codec (FBGs) and non-coherent spectral domain codec (SAC-FBGs) of light-brain grating is theoretically analyzed and its transmission performance is verified. The codec scheme with better performance is compared. An optical quadrature cyclic shift code with a code length N of 13, code weight ω of 4, and self-correlation λ of 1 is used to implement codec schemes using FBGs codec and SAC-FBGs codec, respectively. Based on multiple access interference, signal to interference ratio (SIR) and bit error rate (BER) are discussed separately. From experimental results, it can be concluded that under the condition that the optical orthogonal codes are identical and the number of concurrent users is the same, the signal to interference ratio of the OCDMA system obtained by using the SAC-FBGs coding and decoding scheme is higher than that of the OCDMA system obtained by using the FBGs coding and decoding scheme. The SIR has increased by nearly two orders of magnitude, and the multiple-site interference BER has decreased by 20 or even 100 orders of magnitude. The experiment verifies that the transmission performance of the same optical orthogonal code using the SAC-FBGs coding and decoding scheme is obviously higher than that of the system transmission performance using the FBGs coding and decoding scheme.
Modeling and Analysis of Suspension Frame of Maglev Train
Authors: Liu Xijun , Gao Lixia , Liu Lu , Tan Yifang , Mou Shirong , Liu Yang
Published: October 2020

Based on the acceleration feedback system, the vertical dynamic model of the low-speed maglev train is established. By decoupling the suspension frame module, the author conducted a stress analysis of the single-sided and the entire suspension system, and established a system dynamics model of the suspension frame. The suspension controller is designed using classic PD control and acceleration feedback control methods. Then, the author used Simulink to create a dynamic simulation analysis program to analyze the dynamic performance of the suspension system affected by track misalignment and external disturbance forces, and analyze the impact of the suspension frame’s parameter design on the suspension system performance.
A proof to direct sum decomposition for finite dimension of linear space
Authors: Wang Chenguang , Chen Zhaoying
Published: October 2020

In higher algebra, Direct sum decomposition theorem for finite dimension of linear space is a classical result of linear transformation. This theorem has been widely used in many fields, such as algebra and mechanics and so on. In this paper, the proof is given by means of Hamilton Cayley theorem.
Damage Simulation of Cable of Long-Span Concrete Cable-Stayed Bridge
Authors: Zeng Bin , Zhou Zhenwei , Wen Bo , Xu Qing , Shao Yanchao , Huang Liyuan , Wan Chunfeng
Published: October 2020

Stayed cable is a key part of the force system in terms of cable-stayed bridge, which safety performance can be influenced by damaged cable. In this paper, an effective area method is utilized to simulate the damaged cable. Both the single and double damages are studied, the corresponding cable loss is estimated; and the changes of the mid-span deflection and first-order frequency are discussed. Moreover, the numerical example is carried out by taking the Sutong bridge as the background. The results demonstrat that it is realistic and possible to simulate the cable loss by using the reduced effective area of cable. Furthermore, the deflection of the main span has an evident change when the damaged cable is farther away from pylons; nevertheless, the cable loss has a slight effect on the first-order frequency.
Development of Extreme Thoughts in Calculus and Its Application in Mathematical Analysis
Authors: Tang Dongchun
Published: October 2020

Extreme thought is the basic idea of calculus. A series of important concepts in mathematical analysis, such as the continuity of functions, derivatives and definite integrals, are all defined with the help of extreme thought. The generation and improvement of extreme thought is under the need of society and it has created a new impetus for the development of mathematics, and has become the basis and starting point of modern mathematical thought and methods. In order to deepen the public’s understanding of extreme thought, this article has studied the development and application of extreme thought. First of all, the concept and emergence of extreme thought are briefly introduced, and then the development process of extreme thought is analyzed from three stages: the germination period, the development period, and the perfect period, and finally the application of extreme thought in mathematical analysis is explained from three aspects.
Visualization of Kernel Function of Convolutional Neural Network
Authors: Li Chengfan , Hu Zirong , Ding Xuehai
Published: October 2020

In recent years, deep learning algorithms have been applied in various fields, and with the continuous development of neural networks, the newly emerging network structures have become more and more complex. However, neural networks are often similar to a black box. The evolution of parameters and the changes of neurons are unknowable. How to understand neural networks is an important research topic. Therefore, for beginners and researchers, a correct way to understand and explain neural networks is needed to improve neural networks. Visualization methods have always been used in the interpretability research of knowledge, which is very helpful to show complex algorithms and networks in the form of specific images, so that users and researchers have significant help in studying the structure of the algorithm and optimizing the performance of the algorithm. The visualization method has been applied to many mining fields. The maximization activation function was been used to realize the visualization of the kernel function in the convolutional neural network (CNN) in this work, and then the network structure and other content are visualized.
Design and Implementation of Heart-Rate Monitoring Circuit
Authors: Zhou Dengrong
Published: October 2020

Combined with different stages and levels of circuit principles, analog circuit, signals and systems, microcontroller principles, application and practice of FPGA courses in the electrical major, the work presented the process and fun of electronic systems' design through tests of the signal conditioning, waveform transformation, heart rate data processing, display and alarm in the heart-rate monitoring circuit by the flexibility of the personal multi-functional experimental platform.
Fault diagnosis of vibration signal of synchronous condenser based on wavelet model
Authors: Chao Wei , Yuandi Lin , Yuliang Zhang , Hongzhong Ma
Published: October 2020

A large synchronous condenser has a complex structure and many parts, which is very prone to failure. However, the regular electrical quantity generally does not change significantly at the initial stage of failure, and may not reflect the fault characteristics. Some non-electrical quantities, such as vibration characteristics, can be used to diagnose and predict faults in a timely manner. Based on this, a multilayer-perceptron based wavelet model is proposed for fault diagnosis. Vibration signals are taken in real time at different positions on the surface of the condenser, and the energy eigenvalues are calculated by fast Fourier transform of the data, and the wavelet neural network model is input for training to obtain the nonlinear mapping relationship between the vibration signals and the fault types of the condenser, so as to realize the fault diagnosis of the condenser. Experimental results show that this method can effectively detect and diagnose the fault of the synchronous condenser in the early stage.
Design and Research of Electric Handling Device for An Aerospace Product
Authors: Jiang C , Sun X F , Zhou S H , Li H , Hu S X , D Sen
Published: October 2020

In the assembly process of aerospace products, manual loading and unloading, handling, overturning and other operations are often repeated. These operations have the problems of low efficiency, high labor intensity and low safety. In order to solve this problems, this paper designs a kind of electric transport turnover device according to the modular idea. In addition, the flexible design of the design is considered, which can be applied to the handling of various products with different structures. The reliability test of the device is carried out, and the results show that the device can meet the reliability requirements of the cabin level aerospace product in the process of handling and overturning.
Development of on-line nondestructive testing device for welding cracks based on piezoelectric ceramic excitation
Authors: Gao Pan , Li Qing , Tong Renyuan , Jin Ying , Jin Weiliang , Lin Zheng
Published: October 2020

Perform real-time non-destructive testing of weld damage in various welded structures of steel to determine the degree of weld damage in order to make timely safety warnings to protect human life and property safety. In this paper, piezoelectric ceramics are arranged on both sides of the weld to find the best frequency of the excitation system. The sine signal of this frequency excites the piezoelectric ceramics on one side, and receives and analyzes the response signals of the piezoelectric ceramics on the other side. This paper uses direct digital frequency synthesis technology (DDS), power management circuit, differential amplifier circuit, band-pass filter circuit, phase detection circuit, amplitude detection circuit, etc. to design a system that can perform real-time nondestructive testing. The whole system can measure the changes of these signals in real time, and send the signals to the upper computer remotely. Analysis of these signals can initially determine the size and location of weld damage. The research results show that when the weld in the steel is damaged, the amplitude of the sinusoidal signal propagating through the weld will be attenuated, and the phase difference between the transmitted signal and the received signal will increase. This change is positively correlated with the degree of damage.
Pumping wells super flexible closed-loop control technology research and testing applications
Authors: Shengli Zhang , Fang Wang , Song Yang , Penggang Chang , Siqi Wei , Xinkun Liang , Chen Song , Ruichang Luo
Published: October 2020

In the late period of oilfield development, beam pumping is the most common artificial lifting method. With many problems such as high energy consumption, low efficiency and poor working condition, conventional drive control and production management mode can hardly meet the need of development. In this paper, a method of super flexible closed-loop control for beam pumps is proposed. With coupling analysis of loads, power and position of crank in a pump cycle and calculating, motor speed and corresponding frequency output curve can be obtained. Thus, variable motor speed with very little change on power mode is achieved. Through the driving frequency output and the drive power change, the variation of loads, torque and power of the whole beam pumping system can be reduced. In this way, working condition and efficiency of the pump can be improved and the abrasion of rod string and energy consumption can be reduced, meanwhile, service life of the whole system can be prolonged. After field test, the result of energy saving and efficiency improving can be seen.
Analysis On Optimization Operation Of Cold End Of 600MW Wet Cooling Sub-critical Air Cooling Unit
Authors: Shengxiang Jin , Liuhu Wang , Jinsong Zhang , Qi Zhang , Qianyu li , Wei Bai , Chuan He , Yong Zhou , Daming li , Yu Xiao
Published: October 2020

Due to its remarkable water-saving characteristics, direct air cooling device has been widely used in carbon rich and water deficient areas in China. However, in the high temperature period in summer, the exhaust pressure of air cooling unit will rise greatly, the exhaust steam temperature will be high and the condensate temperature will be high. In this paper, Daihai Power Plant Phase I unit transformation as the research object, the cold end optimization of air cooling unit is analyzed, in order to improve the unit operation economy.
Multi-node Test and Calibration of Automotive Chip Oxygen Sensor
Authors: Yao Cheng
Published: October 2020

The chip oxygen sensor is an important application structure in the vehicle driving process. Currently, the commonly used chip oxygen sensor is a zirconia chip oxygen sensor, which has the advantages of small size, strong temperature resistance, and strong stability according to the parts. This article analyzes the working principle and main classification of the chip oxygen sensor for vehicles. This paper studies the specific application of multi-node automatic detection and calibration system. The author's purpose is to improve the application performance of the chip oxygen sensor for vehicles and improve the stability of the vehicle during driving.
Research on Multi- node Frame Early Warning System of Power Grid Based on Abnormal Data Extraction
Authors: Sui Bing , Chen Xiaodong , Li Zhengwen , Zhao Jun , Tian Jingfu
Published: October 2020

Nowadays, the collection of electrical energy measurement data is mainly completed by smart meters, electrical energy data monitoring equipment and electrical energy data management equipment. Due to system defects, equipment failures and human factors, it is prone to abnormal data collection. The design concept of online early warning system for extracting abnormal features of electrical energy data based on multi- node real-time computing framework is proposed in the paper to analyze the hardware and software of the online early warning system for extracting abnormal features of electrical energy data.
Time-varying reliability modelling and quasi-static accuracy optimization of precision CNC machine tools
Authors: Guo Shijie , Pang Bo , Jiang Gangjun , Chen Hongxia , Li Zhiqiang
Published: October 2020

Aiming at the influence of time-varying characteristics of geometric error on precision CNC machine tool quasi accuracy retention, a time-varying reliability accuracy maintenance method based on multi-objective reliability and maintenance cost tradeoff is proposed. Firstly, on the basis of geometric error transfer model and Achard adhesive wear theory, a quasi-static accuracy reliability limit state function to meet time-varying characteristics is established and the time-varying accuracy reliability is solved based on the First order second moment method. Secondly, according to the time-varying characteristics of the quasi-static accuracy of machine tools, the maintenance cost model and reliability multi-objective optimization model are established, and the trade-off between cost and reliability function is realized. Finally, the optimization results of three-axis machining center show that the method can realize the optimization of geometric accuracy and determine the quasi-static error compensation value which meets the requirements of reliability accuracy.
Functional Modeling of Mechanical Scanning Radar Based on IDEF0 Method
Authors: Li Chuanqi , Yang Jiangping , Meng Cangzhen , Xiang Jiantao
Published: October 2020

At present, research of radar survivability is another important research field after the six characteristics of radar equipment. Research on the vulnerability of radar equipment is the key issue among them and function analysis of radar equipment is the basis of it. Aiming at the traditional mechanical scanning radar, by analyzing the traditional function tree modeling method and on the basis of it, a radar function modeling method based on IDEF0 is proposed. This method comprehensively analyzes the radar early warning function, comprehensively considers the relationship between its internal functions and the connection with external activities. Finally, through comparison with the traditional function tree modeling method, it shows its superiority and is vulnerable to radar equipment, which can provide some reference for the research of radar equipment vulnerability.
Multi-output forward converter based on power distribution control
Authors: Hongli CHENG , Futao TIAN
Published: October 2020

The cross regulation rate affects the voltage accuracy of the multi-output power supply. To fundamentally improve the cross regulation rate of the multi-output forward converter, a control strategy based on power distribution is proposed. The real-time voltage and real-time current of each output end are sampled by ARM to obtain real-time load, the expected output power is calculated according to the expected output voltage of each path, and the conductance of the main switch and the secondary rectifier are calculated according to the working principle and hardware parameters of the forward converter on time, so that each output gets the desired voltage. The experimental results show that the multi-output forward converter using power distribution control has a cross regulation rate of less than 1% and a load regulation rate of less than 0.4%. The designed forward converter can not only effectively improve the cross regulation rate, but also have better load regulation.
An on-line detection technology based on machine vision for micro parts assembly
Authors: An Zeru , Liu Bingguo , Liu Guodong , Lu Binghui , Zhuang Zhitao , Yang Yongmeng
Published: October 2020

Target preparation technology is one of the core technologies in ICF research. There are many micro parts on the target, the gap between parts is only a few microns, so it is difficult to assemble and realize automatic detection in the assembly process. In this paper, a three-way orthogonal micro vision system is proposed to detect the real-time position and posture of the through-hole and fill-tube of the parts on the target capsule, so to realize the real-time detection in the assembly process. The optical design of the hollow 45-degree reflector is proposed to solve the contradiction between the positive imaging of the through-hole and the positive insertion of the fill-tube. The scheme design of the detection system and the calculation of the system parameters are completed. The precise calibration of the three-dimensional micro vision system and the unified method of the coordinate relationship are proposed. Finally, the experimental test of the online detection system of the target assembly is carried out. The test results show that the system has the following functions. The accuracy of alignment is better than 1μm, and the accuracy of angle alignment is better than 0.2°. It realizes the automation and high-precision detection of the assembly process of small parts, which provides a reliable basis for the automatic assembly of targets for ICF experiments.
Design and Kinematics Analysis for a Cable-driven Underwater Snake Arm Robot
Authors: Xue Fufeng , Fan Yu , Fan Zhimin
Published: October 2020

Aiming at the problem that underwater manipulators are mostly rigid structures and cannot meet the requirements of flexible operations, this paper designs and studies a cable-driven underwater snake arm robot. The snake arm is composed of multiple rigid links connected in series, and the joint rotation is realized by controlling the change of the length of the driving cable, which can effectively solve the problem that the traditional underwater manipulator has poor flexibility and cannot work in a narrow space. In this paper, the 3-D model of the cable-driven underwater snake arm is carried out, the mapping relations among driving space, joint space and operation space are analyzed.
Digital AGC Circuit Design based on FPGA
Authors: Li Yuekai , Yang Lei , Yu Lefu , Liao Boyang , Xu Pengfei
Published: October 2020

Users' demand for broadband wireless and mobile is increasing, making wireless broadband access technology WiMAX, arise at the historic moment, rapid development, has become the focus of attention in the industry these two years. In this paper, based on the WiMAX transmission standard 802.16D, the AGC of channel demodulation in WiMAX receiver is described in detail. Firstly, the basic components and main characteristic indexes of the AUTOMATIC gain control system are introduced, and the output formula of AGC model is obtained through the analysis of a step-type AGC. Then the adc and AGC circuits in THE AGC system in the WiMAX receiver are introduced and analyzed theoretically. In this paper, SPW model is used to analyze the algorithm of the basic structure of AGC circuit. Combined with the simulation results, AGC circuit is explained in detail and parameters are explained. Finally, the verification results based on SPW and FPGA are given. The individual performance test of AGC is carried out through SPW, and combined with the performance test of the simulation system, it shows that AGC can work in cooperation with other modules of the system. In FPGA test, it can be proved that AGC can also work well with Verilog.
Statics analysis for automotive rope-wheel glass regulator
Authors: Chen Mingzhang , Xiong Xiaoshuang , Zhuang Wuhao , Chen Zhongbao
Published: October 2020

Analyzing strength, stiffness, fatigue and wear of automotive rope-wheel glass regulator (glass regulator for short) and optimizing structure of glass regulator benefit improving working stability. Before analyzing strength, stiffness, fatigue and wear, statics analysis is necessary to be taken for investigating stress and displacement of key parts. Statics theoretical and finite element analysis of glass regulator in three kinds of working conditions (locked-rotor on the top dead center, locked-rotor on the bottom dead center, normal working) are taken. Results suggest that concentrated stress and large displacement mainly exist on guide rail. The concentrated stress also exists on slider, guide pulley and motor plate, but maximum stress value and large displacement risk on them are small. Statics analysis provides analysis of strength, stiffness, fatigue and wear with support on data and offers driving data for optimizing structure of glass regulator.
A Computer Vision System Applied to The Recognition of Different Capacitors
Authors: Zhu Shengye
Published: October 2020

In this paper, we establish an automation system based on computer vision for the identification of capacitors with different capacitances. The images of capacitors on the industrial assembly line are obtained in real time by using a CCD industrial camera. Then, the obtained images based on RGB model are transformed into HSI color format to avoid the effect of environmental brightness. According to the calculated characteristic hue and saturation values, the established automation system could accurately and effectively identify the capacitances of the capacitors by colors. The identification results would provide accurate information for subsequent robot arm recognition, location, collection, and other operations. By applying to the industrial assembly line, this computer vision system could greatly improve the automation level and product quality of industrial production.
Study on the Stability of an Electronically Controlled Hydraulic Drive Vehicle Based on Sliding-mode Control and Fuzzy Control Algorithm
Authors: Zhu Xiaoji , Wang Qiang , He Xiaohui , Du Maoqiang , Sha Yigang
Published: October 2020

In order to improve the stability of an electronically controlled hydraulic drive four-wheel drive vehicle, a two-degree-of-freedom and seven-degree-of-freedom vehicle mathematical model was established and analyzed. The entire vehicle was obtained through the combination of sliding-mode control control and fuzzy algorithm Control, according to the dynamic force of the wheels, the torque distribution between the different wheels of the vehicle is adjusted. The stability control strategy of the electronically controlled hydraulic drive vehicle is verified through the joint simulation of MATLAB/simulink and Carsim. Analysis of working conditions shows the effectiveness of the proposed stability.
A Reliability based Multidisciplinary Design Optimization Method with Multi-Source Uncertainties
Authors: Fu Chao , Liu Jihong , Xu WenTing , Yu HongYan
Published: October 2020

The complexity of engineering systems is increasing greatly, and more coupled disciplines and multi-source uncertainties are involved in the design and development of complex engineered systems (CESs). Actually, uncertainties are ubiquitous in design of CESs, which can be mainly classified into alteatory uncertainty (AU) and epistemic uncertainty (EU). To gain high reliability and safety of CESs, the Reliability-based MDO (RBMDO) which considers uncertainties of design variables and parameters has become a hot research topic. In this paper, the quantification of aleatory and epistemic uncertainties based on the probability theory and convex set-theory, multidisciplinary comprehensive reliability evaluation index, adaptive collaborative optimization strategy based on the intelligent optimization algorithm, sequential multidisciplinary reliability analysis method based on the concurrent subspace optimization (CSSO) and performance measure approach (PMA), and hierarchical and hybrid sequential optimization and reliability assessment (HSORA) RBMDO strategy under multi-source uncertainties have been researched. All of the researches can expand and improve the RBMDO theoretical system, and also provide the effective method for the design and optimization of CESs under multi-source uncertainties.
Dynamic Simulation Optimization of Vacuum Circuit Breaker Based on Virtual Prototype
Authors: Zhao Fangshuai , Wang Yuhao , Zhang Yang , Li Dongheng
Published: October 2020

In order to study the mechanical characteristics of the vacuum circuit breaker, virtual prototype technology is used to establish a dynamic simulation model of the operating mechanism of the VS1 vacuum circuit breaker, and the dynamic characteristics of the opening and closing process of the circuit breaker are obtained. Then on this basis, in order to reduce the closing bounce of the circuit breaker, the various parameters of the mechanism that affect the closing bounce are selected as design variables for optimization and improvement. The simulation results prove that appropriately increasing the preload of the contact spring can effectively reduce the closing bounce.
Equivalence Analysis of Mass-matching of Simulated Space Manipulator Based on Certain Quality
Authors: Feng W , Li CH X , Wang CH X , Ying W M , Guo X
Published: October 2020

Space manipulator is a high level of integrated space of mechanical and electrical systems in mechanical, electrical, thermal and control fields. Before the experiments, it’s necessary to use a simulated manipulator to verify the reliability of a zero-gravity test system. To assure the consistency between a simulated manipulator and a space manipulator, the mass and barycenter of a simulated manipulator need to be matched. In this paper, an equivalent method based on constant mass is proposed, which can quickly adjust the position of the center of mass of the simulated Space Manipulator joint and achieve the desired objective. Firstly, the fan-shaped and notched counterweights are designed to meet the adjustment requirements of radial and axial barycenter. Then, the joint barycenter models of different types of counterweights are established, and a barycenter equivalence optimization scheme based on constant mass is proposed. Through the design scheme of this paper, the quality and center of mass meet the requirements, and the experimental verification of the simulation manipulator is realized.
The development of self-optimizing and pre-diagnosis about intelligent feeder based on digital technology
Authors: Huan Yang , Bin Huliang , Rong Wangshang
Published: October 2020

Cigarette factory barn feeder elevator belt starts and stops frequently cause feed flow unstable, and increased the equipment failure rate. Overhead materials lead to cut off flow and other problems will have a serious impact on the inherent quality of cigarette products. Transmission based digital technology; we developed an intelligent feeder for self-optimized pre-diagnosis. Byimproving the control mode of feeding bin bottom belt and lifting belt, it can realize the frequency conversion control of anti-overhead and lifting belt motor, with the help of Smart Sensor motor intelligent sensor and Ethernet IO module monitors the transmission of the feeder, realize that self-diagnostics and the whole monitoring of the running state.it achieves the purpose of intelligent early warning and prevention of equipment. The improved control system operates reliably and the material supply flow is stable, the frequency of cutoff is obviously reduced, disconnection associated with the feeder is completely eliminated, guarantee the technological quality of cigarette products.
Machining process rules for connecting rod parts and special fixture design
Authors: Yi He
Published: October 2020

for the current development of our country, the development of industry is going hand in hand with the economic development of our country, with the development of industry, the overall maturity of machinery manufacturing industry is gradually increasing. In the mechanical manufacturing industry, connecting rod parts are one of the important components of piston engine and compressor, so for these two kinds of machinery, the importance of connecting rod parts is self-evident. This paper will take the machining technology of connecting rod and the corresponding furniture design in the processing process as the starting point to analyze the problems that need attention in the design and processing process.
Health status prediction of airborne systems based on transfer learning
Authors: Sun Qinhao , Song Dong , Lin Bin
Published: October 2020

In this paper, based on the prediction of the decay mode of the system health state, a health pattern recognition and prediction method based on transfer learning is proposed. In the context of big data, the system's healthy decline mode is summarized from the massive historical flight data, and then the research on the health status of the airborne system based on the recognition results is carried out. Firstly, this paper demonstrates the feasibility of transfer learning applied to the prediction of the health status of airborne systems. Then, a HMM-based parameter migration health state prediction method is proposed. Finally, the model is verified by the hydraulic system of a certain type of aircraft. The results show that the model can predict the time when the health state changes.
Precision design of differential combination torque measuring device for butt lock with in situ calibration
Authors: Jiejun Lin , Tao Bo , Weijie Jiang
Published: October 2020

In order to solve the problem that the current docking mechanism of the docking lock differential combination test cannot be met, an in-situ calibrated docking lock differential combination torque measurement device is designed. The calibration device uses the torque transmission shaft to differentially lock the docking lock in high and low temperature environments. The combined torque value is transmitted to the normal temperature environment for measurement, and the in-situ calibration of the measured torque sensor is achieved through a clever design. Analyze the error sources of the device, and distribute the errors according to the device technical indicators. The calculation results show that the designed in-situ calibrated butt lock differential combination torque measuring device has a measuring system of 2.25%, and the maximum allowable error of the calibration system is 0.62%, which meets the technical specifications of the device.
Monte Carlo analysis for safety and reliability of rail transit signal system based on Cloud Computing
Authors: Ren Weihe , Ma Lianchuan , Wang Yiwei
Published: October 2020

Starting from the hot issue of introducing cloud computing into rail transit industry, this paper analyses the impact of cloud computing virtualization technology on the safety and reliability indexes of rail transit signal system, Monte Carlo method is used to model two out of 3,double two out of two and two out of two redundant structures from three main parameters of common cause failure,fault diagnosis coverage rate and dangerous failure rate, considering the uncertainty of relevant parameters. The reliability and safety indexes are calculated and simulated with MATLAB. The results show that the two out of three structure is more suitable for the rail transit signal system based on cloud computing.
Design of Sea Ice Monitoring UAV Platform Based on Machine Learning
Authors: Liu Jianlong , Dou Yinke , Zuo Guangyu
Published: October 2020

Machine learning, as one of the most currently remarkably intelligent techniques, has achieved great success in many applications. It makes mechanical instruments and equipment become more automated. In order to realize the intelligent monitoring of polar glacier movement and environmental data, this paper designs a buoy platform that can be equipped with a small environmental monitoring UAV (Unmanned Aerial Vehicle) based on automated ice station technology. On the basis of the original environmental monitoring capabilities of the platform, the target structure is designed according to the needs of the landing of the UAV. Based on the SVM (Support Vector Machine) algorithm, the conditions are predicted whether to start the UAV according to the environment parameters around the platform, which reduce the risk of damage to the UAV due to wind and snow. The superiority of the SVM algorithm in UAV environmental recognition has been verified through field experiments.
Style Transfer Using Whitening and Coloring to Realize Feature Transformation
Authors: Sijia Li , Wenbai Chen
Published: October 2020

This paper proposes a general image style transfer method based on VGG network. This method does not need to learn and pre-train any kind of style in advance. The algorithm mainly implements the style transfer task by reconstructing the automatic decoder. In the process of feature extraction, the algorithm matches the content features and style features through whitening and coloring. We conducted a series of experiments with different photographic images. The experimental results show that our method has a simple training process, low computational complexity and high computational speed and excellent generalization ability.
Development and Application of Lunar Sample Unsealing and Processing Equipment
Authors: Jin WANG , Chunyong WANG
Published: October 2020

The main goal of exploring outer space is to collect samples of extraterrestrial objects and return samples to Earth. Our country is going to launch the Chang'e-5 Lunar Probe Task to collect lunar samples and bring them back to Earth for sample analysis. Unsealing the vacuum lunar sample container and protecting the sample with high-purity nitrogen at the same time become problems urgently. This paper introduces one kind of equipment for unsealing and processing the vacuum lunar sample container in Chang'e-5 Lunar Probe Task. This equipment is divided into four parts: transfer chamber, operating chamber, unsealing chamber and purification unit, which can unseal samples with a vacuum of 10-3Pa and keep lunar samples in an environment protected by high-purity nitrogen with a water concentration less than 30ppm and an oxygen concentration less than 20ppm.
Design of diesel engine fault prediction system based on MATLAB
Authors: Liu Wei , Gan Yu , Chen Ning , Wang Zhimin
Published: October 2020

For the fault of main bearing wear of diesel engine, this paper puts forward the idea of combing artificial neural network and bearing wear warning system together. Selecting RBF neural network calculating fast as a research tool, diesel cross-head slide block working as the research object, we make the related systems. When the position of the slider changes due to wear, the sensor which monitors the position can immediately transmit the fault data to neural networks, after calculation, the neural network put the fault type out, to search the place of the failure. This method is of high accuracy, fast speed, and the results suggest clear.
Optimal Design of Information Elements in Virtual Reality System Based on TOPSIS
Authors: Fu Qianwen , Lv Jian
Published: October 2020

Aiming at the problems of heavy cognitive load of users and uncoordinated allocation of design resources in virtual environment, this paper comprehensively analyzes the explicit expression of information in user interaction activities, builds SMCR model, and proposes an optimization model of virtual reality interface interaction system based on TOPSIS. Through the computer sensing of user actions, behaviors, tasks and other information in the virtual environment, the mapping relationship between resources and information is determined according to the resource allocation scheme based on SMCR mode, and encoded in the form of information representation; Based on TOPSIS, the importance of design resource elements is sorted. Through further refining the information representation, the sorting results are used as precipitated knowledge for scheme design to realize the optimal layout of interactive interface visual elements. The results show that the virtual reality interface system based on this model mobilizes the enthusiasm of users to actively interact and improves the usability and timeliness of human-computer interaction.
Study on Multi-scale Time-frequency Analysis of Cutting Force Based on EMD Method
Authors: Wu Ying
Published: October 2020

A method for establishing the multi-scale cutting force spectrum under complex random load history is presented according to the non-stationary random characteristics of the cutting force-time history. The IMF components of different time scales are obtained by EMD decomposition of complex random cutting force-time history data. The probability density distribution of cutting force in certain frequency band is obtained as the load spectrum on this time scale. This method avoids the disadvantage of the conventional method that the load or stress is regarded as a constant or variable amplitude load under one frequency to establish the load spectrum. The method for establishing the multi-scale load spectrum can provide a basis for fatigue life calculation and fatigue reliability analysis of mechanical components.
Simulation Analysis of the Influence of Micro-texture Parameters on Tool Strength Based on ANSYS
Authors: Li Qinghua , Zeng Yu , Zhao Ming , Tian Ranran
Published: October 2020

In this paper, the influence of the micro-texture parameters of the tool surface on the tool strength is studied, and the texture parameters with less influence are selected.Firstly, the cutting force of the PCBN tool in the actual cutting process is measured by the dynamometer, and then the 3D model of the tool is imported through the finite element analysis software ANSYS. After the mesh is divided, certain constraints and the measured cutting force are applied, and finally get the deformation and equivalent stress of the tool for analysis.The results show that when designing the micro-texture, the width of the micro-texture should be between 90-110μm, the spacing of the micro-texture should be between 110-120μm, and the margin between the micro-texture and the cutting edge should be between 160-180μm. The depth of the micro-texture should be between 30-40μm, so that it can not only play the role of micro-texture on the cutting tool, but also reduce its impact on the strength of the tool.
Research and Design on the DMA Monitoring System Based on Low-power Consumption
Authors: Ren-xuan FU , Xue-Liang
Published: October 2020

Starting from the requirements of lower leakage rate of water supply pipeline network and using DMA (District Metered Area) method, a low-power consumption of flow monitoring system is designed in this paper. Real-time monitoring on the flow points in each DMA (independent measurement area) can help find the abnormal of water supply network, analyse the leakage situation of the area, locate the leakage point, and reduce the leakage rate of supply network and the difference rate between production and sale, connecting with other information systems of supply network to achieve fast trouble-shooting.
A new life prediction method of Intelligent meters based on adaptive weighting coefficients
Authors: Yihao Fu , Jun Wang , Shengjuan Xue , Zhipeng Li , Xu Fang , Jinlin Zou
Published: October 2020

In order to achieve the purpose of predicting the batch life index of intelligent meters in using, this paper analyzes the history failure data of the products, comprehensively considers the stresses such as temperature and humidity, then proposes an improved Weibull distribution statistical analysis method based on adaptive weighting coefficient, which is applied to the batch life prediction of intelligent meters. The prediction error of stage failure rate is less than 0.0002 fit.
Research on Fault Prediction Method of VHF Radio Station Based on L-M Algorithm
Authors: Ma Junkai , Wang Xiaoyan , Wang Zeyuan
Published: October 2020

Aiming at the problem of intelligent detection and location of marine VHF radio station fault machine,this paper studies BP neural network algorithm, analyzes the characteristics of VHF radio stations at sea,builds fault tree model, presents an intelligent detection method of VHF radio fault using L-M (Levenberg-Marquardt) intelligent algorithm to design L-M algorithm-based automatic fault detection model for VHF stations. The feasibility and efficiency of L-M algorithm in VHF fault detection are verified by simulation. The results show that: L-M algorithm can identify fault points more quickly and accurately among VHF radio station fault detection methods. Compared with the traditional manual detection, accuracy and efficiency of L-M algorithm are greatly improved.
Design of a fast transfer alignment matching algorithm
Authors: Geng Xingshou , Tang Kanghua , Wu Meiping
Published: October 2020

In order to estimate the misalignment angle of align system effectively, this paper constructs a traditional 14 state rapid transfer alignment model, considers the problem that traditional velocity error definition is not completely accord with the consistency of coordinate system, the improved differential equation of velocity error is applied to transfer alignment, constructs an improved 12 state rapid transfer alignment model. Finally, the performance of the two alignment algorithms is tested by vehicle-mounted experimental data under the conditions of no maneuver, C shape maneuver and S shape maneuver, and the experimental result of the two algorithms is compared and analyzed. The experimental result shows that the improved 12 state rapid transfer alignment algorithm not only has better alignment accuracy than the traditional 14 state rapid transfer alignment algorithm, but also reduces the model complexity, reduces the system calculation, and avoids the influence of flexural deflection and dynamic misalignment angle. The yaw angle alignment accuracy is improved by 45%, 65% and 53% under the conditions of no maneuver, C shape maneuver and S shape maneuver, respectively.