bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fault Prediction of Electromagnetic Brake Based on AINN and Grey MGM(1,n) Model
Authors: Li Shoujun , Li Guangyu , Wang Zhiming 
Published: November 2020

Abstract
In order to predict the possible fault points of electromagnetic brake, a novel combined diagnosis model based on multivariable grey prediction model MGM(1,n) and adaptive integrated neural network (AINN) was proposed in this paper. MGM(1,n) model was used to predict the development trend of multiple groups of fault feature factors. Then by Fuzzy C-mean (FCM) algorithm, cluster analysis on the predicted results from MGM(1,1) was performed, and in turn, clustering results feed into of AINN to predict and identify fault features. To verify the performance of the combined model, a case of electronic brake fault diagnosis is given, and the model analysis consisting of 8 possible faults is carried out, finding that the proposed combined model has better fault identification capacity with better convergence and less error, showing stronger promotional practical value.
Robust Controller for Permanent Magnet Linear Motor Based on Interval Matrix Theory
Authors: Sun Haijun , Li Xiaohong 
Published: November 2020

Abstract
Parameter perturbation, end effect and external interference of AC permanent magnet linear motor affect the accuracy and performance of servo system. In this paper, the PMLSM servo system controller designed by the interval matrix theory is used to solve this problem. The uncertainty of servo system is described by interval matrix. Compared with the precise mathematical model, the controller designed by this theory has strong robustness. The simulation and experiment of the system show that the strategy has excellent dynamic and static performance, it has strong parameter robustness.
Research on the Layout and Data Processing Method of Distributed Optical Fiber in Shield Tunnel Monitoring
Authors: Li Yujie , Li Qiang , Shen Wenyong , Meng Lei 
Published: November 2020

Abstract
With the increase of subway service time, shield tunnels will produce different degrees of damage and destruction. This is related to external factors such as differences in stratum soil, groundwater seepage, construction disturbance to soil, and operating vehicle load. With the increase of subway service time, shield tunnels will produce different degrees of damage and destruction. This is related to external factors such as differences in stratum soil, groundwater seepage, construction disturbance to soil, and operating vehicle load. In order to ensure the operation safety of the subway, long-term and large-scale safety condition monitoring of the shield tunnel is very important. This study summarizes the technical characteristics, layout methods, data collection and processing of distributed optical fiber in shield tunnel deformation monitoring. The feasibility of distributed optical fiber monitoring technology is verified through the segmental deformation monitoring project of Beijing Metro Airport Line and Line 10 shield tunnel. In addition, some experiences in fiber layout and data processing are summarized, which has reference value for similar projects.
Real-time Monitoring Mechanism of Underwater WSN
Authors: Guo Dongjiao , Liu Yanping , Qiu Bo , Xiang Guanjie , Li Mengci 
Published: November 2020

Abstract
Sensor node energy is the key to the long life cycle of a sensor network. This paper considers the correlation of sensor nodes in continuous time on-chip data transfer, and compares the derivative-based prediction, polynomial regression, back propagation and convolutional neural networks prediction algorithms for data transfer and energy consumption minimization. Experimental results show that convolutional neural networks are the optimal control solution.
Stellar Spectral Classification with 2D Spectrum and Fully Connected Neural Network
Authors: Lu Yakun , Qiu Bo , Xiang Guanjie , Li Mengci , He Zhendong 
Published: November 2020

Abstract
It is one of the basic tasks to realize the automatic classification of celestial spectrum. This paper presents a method of star classification based on two-dimensional spectral data. The data used in the experiment are two-dimensional spectral data of LAMOST DR6 from the National Astronomical Observatory. There are about 2000 two-dimensional spectral data in total to use to classify F, G and G, K stars spectra. By observing a large number of two-dimensional data of stars, different region data are selected as input data according to the stars. Then the data are normalized and put into the full connection neural network for training. The whole neural network consists of one input layer, nine hidden layers and one output layer. Each hidden layer is activated by rule function, and the output layer is activated by softmax function. Experiments show that the accuracy of classification is 80% by classifying the two-dimensional spectra of F, G and G, K. It shows that the two-dimensional characteristics of the spectrum can effectively classify the spectrum.
A Routing Protocol Based on CP Neural Network for Vehicular Ad Hoc Networks
Authors: Wen Wei 
Published: November 2020

Abstract
It is important to design efficient routing protocols based on link connectivity and the selection of optimal link forwarding data in vehicular ad hoc networks (VANET). We propose A routing protocol based on counter propagation (CP) neural network for Vehicular Ad Hoc Networks (CP-GPSR), which is to take into account the connectivity probability of the link, adopts a routing method based on data packets forwarded at intersections. The priority of the next segment is classified by the CP neural network, vehicle select the next segment of highest priority for data forwarding at the intersection. The simulation results show that CP-GPSR has a high packet delivery rate, the control overhead is lower.
Respiratory Motion Prediction with Random Vector Functional Link (RVFL) Based Neural Networks
Authors: Rasheed Asad , Adebisi A.T. , Veluvolu Kalyana C. 
Published: November 2020

Abstract
Respiratory motion exhibits non-linear and non-stationary behavior in nature and this has been a great hindrance to the accurate prediction of tumor in motion adaptive radiotherapy. Accurate prediction of respiratory motion and subsequent tracking of tumor has been a challenge due to the irregularities and intra-trace variabilities. In order to overcome this issue, prediction models can be trained by using neural networks. However due to the burden of large training data, computational efficacy of existing neural networks can be affected. Moreover, training of neural networks using conventional methods like back-propagation (BP) may result in local minima and it may slow down the learning rate and convergence respectively. As a solution, in this paper, we employed random vector function link (RVFL) based neural networks to train the model in a very efficient way to achieve high accuracy in respiratory motion prediction. In RVFL, the direct link from input features to output layer acts as regularization to prevent the network from overfitting. The proposed method is tested with real respiratory motion traces acquired from 31 patients. Results show that RVFL with the use of direct link performs quite better than without direct link.
Visual Positioning Algorithm Based on Micro Assembly Line
Authors: Ni Quandong , Li Dazhai , Chen Yun , Dai Haiyang 
Published: November 2020

Abstract
To achieve mass production of microelectronic devices, this paper designs a microelectronic device detection scheme based on monocular vision, on the assembly robot platform of micro-electronic devices. By analyzing the principle of camera calibration and distortion and performing internal parameter calibration of the camera with Zhang Zhengyou calibration method, this paper establishes a hand-eye calibration model of the relationship between the robot’s motion and the relative position of the camera, so as to calculate the transformation matrix from the camera model to the gripper. In the end, the paper proposes an accurate positioning method which combined boundary tracking algorithm based on binary image and template matching algorithm, identifying the type of workpieces through barcode.
Image-based Deflection Measurement and Error Analysis
Authors: Hu Bingyi , Gao Weihe , Yan Cuiping , Ni Yongjun , Li Chenqian 
Published: November 2020

Abstract
This paper gives an image-based and computerized solution to the deflection measurement of bridges with its corresponding design scheme of measuring devices. A laser transmitter is fixed on one end of the bridge. A dark cartridge with an optical screen and a camera is installed in the middle of the bridge. Light beam projects onto the optical screen, while the camera captures the image on the screen. Bridge deflection is measured by applying image-processing algorithms and then performing the related computation. The systematic error caused by tilting film and geometric distortion is analysed and eliminated. One of the advantages is that, this low-cost measuring scheme obtains direct deflection data and requires simple operations comparing with existing methods. Other advantages and disadvantages are also highlighted.
A Novel Channel Amplitude and Phase Correction Algorithm Based on Phased Array Space-based TT&C Communication
Authors: Yang Yanqiu , Zhao Yi , Chen Zhanfeng , Deng Xi , Wei Lili 
Published: November 2020

Abstract
According to the characteristics of phased array space-based TT&C satellite antenna aperture size and transponder power limitation, this paper proposes a correction algorithm based on PN code and BPSK without data modulation. At the same time, combined with multi-period coherent accumulation, the channel amplitude and phase correction accuracy is guaranteed under low signal-to-noise ratio. From the simulation test, we can see that our method has the characteristics of low interception and anti-barrage jamming.
The Calculation of Thermal Temperature of Specified Radar Based on Domain Decomposition Method
Authors: Fan Hui , Zhang Yang , Li Yi , Liu Youming , Zhang Haibo , Li Tingjun 
Published: November 2020

Abstract
Approached the method of Domain Decomposition Method calculating specified radar’s thermal temperature. Used Domain Decomposition Method to analyze the specified radar, changed the complex geometric object to simple one, which simplified the calculation procedure. Through the calculation of practical, we calculated the radar’s thermal temperature when solar horizon and vertical incidence. The thermal temperatures of radar in two conditions are all agreed to physical circumstances, which indicated this method is valid. Keywords: Radar; Domain Decomposition Method; IR; Thermal temperature.
Design of Wireless Communication System in Mine
Authors: Liu Gaiye , Chen Peng 
Published: November 2020

Abstract
In order to improve the control efficiency of large equipment such as scraper, transporter and crusher, and reduction in personnel, increased security factor, based on PLC automatic control and wireless interconnection technology, a mine wireless communication system including wireless control host, wireless handheld and wireless relay substation is developed. The system carried out industrial experiments on the mining face in coal mine. The test results show that the system is easy to install and maintain, the equipment is stable, the wireless signal covers no blind areas, the call is clear, the data transmission is reliable, and the wireless remote control of the large equipment is achieved.
A Method of Network Security Risk Measurement Based on Improved D-S Evidence Theory
Authors: Zhao Xiaolin , Pei Mingzhe , Wu Meijing , Liang Yaoyuan , Peng Hui 
Published: November 2020

Abstract
This paper applies Dempster-Shafer (D-S) evidence theory to network security measurement and assessment, which improved the accuracy of network security measurement results. The main contents include improving the composition rules to solve the paradox, establishing a security measurement model, and proving the rationality of the improved method by three Distributed Denial of Service (DDoS) attacks experiment. The results show that this method is more accurate in detecting traffic attacks.
Research on Temperature Rise Performance of EV Charging Coupler
Authors: Wei Qianqian , Chen He , Wang Jiaojiao , Li Xiao 
Published: November 2020

Abstract
In order to orrectly evaluate the temperature rise performance for Electric Vehicle charging Coupler more reasonably, this paper analyzed the factors affecting the temperature rise performance, compared the existing standards and regulations.The test and verification activities were carried out from two aspects of temperature rise evaluation method and complex environment adaptability, and a more rigorous temperature rise evaluation method was proposed
Micropumps for Microfluidic Devices and BioMEMS
Authors: Huo Cheng , Bai Chenlin , Zhang Peiyu 
Published: November 2020

Abstract
The development of micropumps are reviewed and their applications are summarized. The micropumps are categorized into indirectly-driven and directly-driven micropumps according to the ways of driven origination from working principles. The actuation principles are introduced in detail including electrostatic, piezoelectric, thermopneumatic actuation, etc. Moreover, the performance influencing parameters on the property and the applications of various micropumps for medical therapy are described such as reciprocating, peristaltic, rotary, electrohydrodynamic, micropumps, etc. The challenge of micropumps is also discussed.
Temperature Field Distribution Model in Drilling of CFRP/Ti Stacks Structure
Authors: Li Jian , Zou Peng , Qiao Cheng , Dong Li 
Published: November 2020

Abstract
CFRP and Ti alloy, which have several excellent properties, are widely used in the field of aircraft manufacturing. CFRP/Ti stacks is one kind of common structure in aircraft assembly process. Drilling is one of the key processes to assemble such structure. Heat concentrated and high drilling temperature may happen during drilling CFRP/Ti stacks due to their low thermal conductivity, and it may lead to hole damages. The paper gets the heat flux to workpiece through analyzing the heat source during drilling CFRP/Ti stacks, base on which a model to predict the drilling temperature field during drilling CFRP/Ti stacks is established by the Fourier’s law. The drilling temperature field is calculated by the finite difference method, and the experiment of drilling CFRP/Ti stacks is carried out. The analytical result agrees well with experimental data. The model can be used to predict the temperature field of stacks drilling process.
Experiment of Thermal Conductivity of Coal-fired Boiler Ash
Authors: Wu Jialing , Liu Yi , Cheng Rui , Zhang Xiaofei , He Qing 
Published: November 2020

Abstract
In order to study the problem of ash deposition and slagging on the heating surface of coal-fired boiler, the ash specimens with different thickness are prepared in this paper, and the unsteady state method is used to test the thermal conductivity of the ash. The results show that the average thermal conductivity of the ash specimen is 0.3114W/(m·K), and the thermal conductivity of the ash does not change with the thickness. This paper provides important parameters for the study of heat transfer of boiler heating surface.
On the Problem of Pursuit of the Fractional Order in a Dynamic System with Nonlinear Controls
Authors: Mamatov Mashrabjon , Alimov Xakimjon 
Published: November 2020

Abstract
This article discusses the problem of expanding the results for fractional differential games and optimal control systems. Fractional order management allows ensuring the quality and safety of products, environmental process control. Solving the pursuit problem, we rely on the Pontryagin methods developed for linear differential games of entire orders, and we obtain new sufficient conditions for solving the pursuit problem.
Construction and Practice of Public Service Platform Based on Trusted Blockchain
Authors: Xuan Jiaxing , Shi Xin , Sun Xuyang 
Published: November 2020

Abstract
In recent years, the digital economy has experienced the era of digital economy 1.0, the era of all-round electronization brought about by the rise of personal computers, and the era of 2.0, the era of all-round data brought about by the popularity of the Internet and mobile Internet, and entered the era of 3.0, the era of “digital right economy”. In the era of digital rights economy, all aspects of social and economic life will create new ecology and models. Digital identity and digital governance, digital asset transaction circulation, digital payment and settlement, and digital industry integration constitute the core sector of digital rights economic development. Blockchains has become the preferred model for establishing digital identity and governance due to its characteristics of multi-party co-governance, distributed storage, transparent rules, and permanent and true data persistence. This paper proposes to solve the problem of economic governance derived from the era of digital economy by building a blockchain service platform. The main achievements of this paper are to create new business models, actively explore the deepening application of blockchain technology in the field of energy and power, break through data barriers, activate data value, develop digital economy, and promote data fusion and data resource integration in the field of energy and power.
Higher-order Approximations of Nonlinear Oscillator with Coordinate-dependent Mass
Authors: Guo Zhongjin , Sun Dan 
Published: November 2020

AbstractThis paper analyses a nonlinear oscillator with coordinate-dependent mass based on the presented methods of multi-term harmonic balance (MHB) and iterative residue harmonic balance (IRHB). The proposed methods calculate higher-order approximations. After using the MHB, a group of complicated nonlinear algebraic equations are obtained which are cumbersome to calculate analytically. This limitation is overcome in the presented other method by using the IRHB. In the solution procedure of IRHB method, the higher-order approximations to angular frequencies and periodic responses can be determined due to linear residue equations. Results show that the presented solutions give high accuracy and better results than those obtained by other existing ones from the homotopy perturbation method and the frequency-amplitude formulation. The advantage of the IRHB method is that it balances the all residues step by step and the present second-order approximations almost coincide with the corresponding exact solutions. Thus, the presented IRHB method could be applied to other strongly nonlinear oscillator systems.
The Traveling Wave Protection of HVDC Based on HHT Conversion
Authors: Hou Yunhai , Zhang Shuhan , Sun Haoxin 
Published: November 2020

Abstract
It is significant to the whole system or its connected network and to run safely and steadily by detecting and cutting out faults fast and accurately. In this paper, a new transient signal analysis method is got based on the Hilbert-Huang Transform conversion. It’s original is that by making simulation on interior and external district of direct current through HVDC transmission model, and using MATLAB to analyze transient voltage signal on every fault, and then a protection project of high voltage direct transmission line is proposed based on HHT. The simulation results show that the scheme overcomes the inherent defects of the traditional algorithm, and makes up for the shortage that the protection is easily affected by the transition resistance and can not be accurately judged when the ground fault occurs, which effectively improves the detection accuracy and speed of the line protection.
A Signal Reconstruction Method Based on Quadratic Spline Interpolation Applied in Power Quality Analysis for SCM-TTU
Authors: Deng Siyang , Liu Zhu , Huang Lvchao 
Published: November 2020

Abstract
Aiming at the accurate and quick analysis of power quality especially of harmonic problem in power system, interpolation approaches should be applied if the samples collected by hardware are not matched with Fast Fourier Transform (FFT) calculation. A quadratic spline interpolation algorithm is proposed on Single Chip Micyoco-Transformer Terminal Unit (SCM-TTU) in this paper. This algorithm considers the continuous of interpolation function and also the first derivative in order to improve the accuracy. It could be applied before FFT calculation to avoid the mismatch of sampling rates. A simulation with mathematic example and also an application with SCM-TTU contains the harmonics from 2nd to 50th orders are experimented, results are presented to show the effectiveness.
Way to Protect Electrical Wires Against the Break under the Strong Wind
Authors: Kobelev Evgeniy , Voinov Kirill , Esbulatova Altyn , Andreev Jury 
Published: November 2020

Abstract
In many countries in the world the strong wind can break wires very easily. In this case many regions and very important objects will be without of the electrical energy and lighting. To find quickly the place where this situation had happened it takes many hours. It is a great problem. Everybody knows that it is rather difficult to reach this damaged place (maybe in the forest or among the high hills). Strictly any repair takes usually many hours too. That’s why it is needed to find the simplest method to defend any long wires against their break under the strong wind. In this situation if the strong rushes of the wind begin to swing wires intensively, they cannot sustain such overloads too long. Moreover, the resonance phenomenon in these oscillations will be without fail and breaks wires very quickly. In this article there is a new way how to protect any wires against the break using only several hard rods fixed firmly on the wires. How it can be done it is described in detail below and some of recommendations including the results of experiments are shown also.
Knowledge Extraction Method for Power Grid Fault Text Based on Ontology
Authors: Peng Bo , Lai Ji , Hao Yanru , Yuwen Mengke , Xiao Ding 
Published: November 2020

Abstract
The power industry usually records equipment failures, defects and other information in the form of text, which contains lots of regular patterns. Knowledge extraction in fault text is of great significance to improve efficiency and reduce the labor cost in the power industry. However, the research for knowledge extraction of text information in this field is rare, it is even more difficult to use machine learning algorithms to mine the deep patterns. To solve this problem, a method of knowledge extraction is proposed in this field. We use power equipment fault texts and relevant guidance as raw materials. Firstly, the knowledge base of this field is designed and constructed based on the ontology concepts, including ontology concept base, description base and regular expression base. Then, the knowledge extraction algorithm is designed according to the knowledge base. After that we conduct the knowledge merge operation to make the extraction results more accurate. Experiments on the real fault texts shows the feasibility and the high accuracy of our method when compared with artificial extraction.