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Articles 5341 - 5370 of 13783

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Modeling And Control Method Of Photovoltaic Micro-Inverter, Weiliang Liu, Chunlai Li, Changliang Liu, Yinsong Wang, Yongjun Lin, Liangyu Ma, Wenying Chen Jun 2020

Modeling And Control Method Of Photovoltaic Micro-Inverter, Weiliang Liu, Chunlai Li, Changliang Liu, Yinsong Wang, Yongjun Lin, Liangyu Ma, Wenying Chen

Journal of System Simulation

Abstract: Photovoltaic micro-inverter can solve the poor reliability and low efficiency problem of centralized inverter, therefore it has a good application prospect. Small signal analysis model was established for the photovoltaic micro-inverter with flyback topology structure. Considering function of reverse current prevention being required when it was applied to the low voltage distribution network, control methods were disigned respectively for load current tracking mode and maximum power point tracking mode, and the controller parameters were optimized using genetic algorithm. Experimental and simulation results show that the micro-inverter can steadily work in two different modes, and reduce the harmonic content …

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Uav-Mimo Channel Characteristic Analysis Based On Gbsbcs Model, Xijun Gao, Zili Chen, Yongjiang Hu, Zidong Zhou Jun 2020

Uav-Mimo Channel Characteristic Analysis Based On Gbsbcs Model, Xijun Gao, Zili Chen, Yongjiang Hu, Zidong Zhou

Journal of System Simulation

Abstract: The simple form of UAV space-time-frequency channel correlation function was presented based on the three-dimensional geometrically based single bounce concentric elliptic ring scattering (GBSBCER) channel model of Multi-Input Multi-Output（MIMO）for Unmanned Aerial Vehicle (UAV). The analytic formula of UAV-MIMO normalized correlation matrix was deduced. The effect of antennas structures, flight distance and scatters distributing on the characteristic parameters such as the condition number of UAV-MIMO channel matrix and the channel capacity were analyzed by this formula. The simulation results show that, the performance of UAV-MIMO communication can be improved by reasonably arranging the antennas, adjusting the flight parameters, which …

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Magnetic Levitation System Simulating And Its Chaos Research, Jiang Dong, Deshan Kong, Xukun Liu, Jiaxiang Yang, Deyu Wang Jun 2020

Magnetic Levitation System Simulating And Its Chaos Research, Jiang Dong, Deshan Kong, Xukun Liu, Jiaxiang Yang, Deyu Wang

Journal of System Simulation

Abstract: The physical model, mathematical model and simulation model of the magnetic levitation system were set up. The function among magnetic force, electromagnet current and distance was deduced after the measuring. The dynamic equation of magnetic levitation ball was derived. The simulation model of the magnetic levitation ball system was set up. The simulation experiments for no vibration and external vibration and chaos state of the system were conducted. The phase trajectories of stable, quasi-periodic and chaotic states were researched. The waveforms of no vibration and external vibration and chaos state were measured. The tests show that the measured waveforms …

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Research And Simulation On Control Algorithm For Multi-Objective Optimization Of Urban Rail Train, Jianjun Meng, Minggao Pei, Wu Fu, Tengzhou Wei, Hao Shuai Jun 2020

Research And Simulation On Control Algorithm For Multi-Objective Optimization Of Urban Rail Train, Jianjun Meng, Minggao Pei, Wu Fu, Tengzhou Wei, Hao Shuai

Journal of System Simulation

Abstract: According to the characteristics of urban rail train running multiple objective, the multi-objective operation model for urban rail train was established with the energy consumption, punctuality, accurate parking and comfort level as the optimization indexes. Genetic algorithms was used to optimize running multi-objective model of urban rail train, and according to train traction calculation and computer simulation, the train running target curve was obtained. The fuzzy control and PID control algorithm were applied to urban rail train system to establish adaptive fuzzy PID controller and PID control in order to track the target curve. Simulation results show that adaptive …

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Filtering Based Maximum Likelihood Stochastic Gradient Prediction On Wind Power Curtailment, Ziyun Wang, Zhicheng Ji Jun 2020

Filtering Based Maximum Likelihood Stochastic Gradient Prediction On Wind Power Curtailment, Ziyun Wang, Zhicheng Ji

Journal of System Simulation

Abstract: The parameter estimation problem of Hammerstein finite impulse response models and its application on the wind curtailment prediction field were considered. By adopting the maximum likelihood principle, the maximum likelihood estimate was obtained by minimizing the likelihood function. To reduce the impact of the unknown noise term, the maximum likelihood idea and the filtering theory were combined by changing the coupled nonlinear model into a parameter-independent model and to derive a filtering based maximum likelihood stochastic gradient algorithm for the Hammerstein system modeling on wind power curtailment prediction. The given simulation validates that the proposed algorithm can identify the …

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Numerical Study Of Characteristics Of Gas Liquid Coaxial Injector As Acoustic Resonator, Honghui An, Wansheng Nie Jun 2020

Numerical Study Of Characteristics Of Gas Liquid Coaxial Injector As Acoustic Resonator, Honghui An, Wansheng Nie

Journal of System Simulation

Abstract: The gas-liquid injector of the rocket engine was simplified to a quarter-wave resonator and a half-wave resonator respectively by adopting linear acoustic analysis. Acoustic-damping effect of the length and inlet jet of the injector on the first tangential mode of the chamber was found for ambient condition. It is found that when the first order longitudinal mode frequency of the injector is equal to the acoustic mode frequency of the combustion chamber intended for damping, for the inlet jet is choked, the optimum length of the injector to maximize damping capacity is near quarter of a full wavelength of …

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Improved Harmony Search Algorithm In Application Of Vulcanization Workshop Scheduling, Longcheng Wu, Huang Song, Wang Yan, Zhicheng Ji Jun 2020

Improved Harmony Search Algorithm In Application Of Vulcanization Workshop Scheduling, Longcheng Wu, Huang Song, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For solving the problem of low productivity and low machine utilization caused by unreasonable assignment in tire vulcanizing process, an improved Discrete Harmony Search (Improved Harmony Search, IHS) Algorithm was proposed to optimize the maximum completion time of vulcanizing workshop scheduling. This algorithm has three processes including individual memory consideration process, disturbance search process and competitive selection mechanism. In the competitive selection mechanism, the corresponding individual in harmony memory or worst solution was replaced with new solution and harmony memory was updated. That strategy made each individual in memory more quickly fly to the optimal solution. The algorithm was …

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Research On Compensation Algorithms For Pneumatic Distortion Of Pneumatic Tube, Haifa Dai, Jianwu Tao, Yueming Yang Jun 2020

Research On Compensation Algorithms For Pneumatic Distortion Of Pneumatic Tube, Haifa Dai, Jianwu Tao, Yueming Yang

Journal of System Simulation

Abstract: Based on the problem for velocity attenuation of Flush Air-Data Sensing (FADS) system, a compensation algorithm was developed to compensate for the pneumatic distortion. The principle of velocity measurement by Flush Air Data Sensing (FADS) system based on vector sensor was introduced, the attenuation model was reduced to a second order, state variable model, the comparison of frequency response with both model verifying that the reduced model remains the most dynamic characteristics of the original one. Then, based on the state variable model, the algorithm to compensate for distortion was developed by utilizing minimum estimation theory and Kalman filtering …

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Optimal Configuration Method Of Block Spare Parts For K/N Systems Considering Cannibalization, Yongpan Wang, Chunhe Chang, Jiangping Yang Jun 2020

Optimal Configuration Method Of Block Spare Parts For K/N Systems Considering Cannibalization, Yongpan Wang, Chunhe Chang, Jiangping Yang

Journal of System Simulation

Abstract: Aiming at the configuration problem of block spare parts in k/N systems, an optimal configuration method of block spare parts considering cannibalization and on-condition maintenance was proposed. A spare parts fill rate model for k/N systems was established on the basis of two parameters named cannibalization rate and SRU replacement rate, and the constraint conditions of both the parameters were given respectively. An optimal configuration model was built, which chose the minimum spare costs as the object and the spare fill rate as the subject, and a model solution algorithm based on the margin analysis theory was given. …

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Multi-Scale Mesh Saliency With Local Patch Weighted Curvature Entropy, Xiaodong Wang, Hongtao Liang, Fengju Kang, Gu Hao Jun 2020

Multi-Scale Mesh Saliency With Local Patch Weighted Curvature Entropy, Xiaodong Wang, Hongtao Liang, Fengju Kang, Gu Hao

Journal of System Simulation

Abstract: Mesh saliency is an important geometrical characteristic of 3D mesh model and has been applied in many applications. Inspired by the existing algorithms, a novel multi-scale saliency detection method based on local patch weighted curvature entropy was proposed. A local coordinate system and curvature value of each vertex was estimated. An improved adaptive patch was defined on the tangent plane using accumulated volume of neighborhood. Furthermore, deviation of the patch of each vertex to their neighborhood was defined as the weight of curvature value. The Shannon entropy of weighted curvature values of neighbor vertices within a sphere …

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Research On Weapon System Design For Risk Management Based On Object-Process Methodology, Zheng Zhan, Yao Jian, Yang Feng, Wenguang Wang Jun 2020

Research On Weapon System Design For Risk Management Based On Object-Process Methodology, Zheng Zhan, Yao Jian, Yang Feng, Wenguang Wang

Journal of System Simulation

Abstract: In order to improve the integration and coordination of the weapon systems engineering and risk management, a new approach was proposed that integrated risk aspects with system analysis, modeling and design in weapon systems engineering. The approach established the lifecycle model of the weapon systems engineering to realize the risk identification and control in risk management based on OPM (Object-Process Methodology). V & V (verification and validation) was implemented to the OPM model by the simulation and execution progress, which significantly ensured the correctness and consistency of information and knowledge. It shows a case of UAV-based anti-missile defense system …

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Modeling And Simulation Of Target Searching And Scanning Program For Millimeter Wave Seeker, Gen Wang, Wang Dong, Yang Kai, Ma Fei Jun 2020

Modeling And Simulation Of Target Searching And Scanning Program For Millimeter Wave Seeker, Gen Wang, Wang Dong, Yang Kai, Ma Fei

Journal of System Simulation

Abstract: The method of modeling and simulation of the target searching and scanning program for millimeter wave seeker with tiny instantaneous field of view was studied. The mathematical model of instantaneous catch field and searching catch field was established. Two common target searching and scanning programs were introduced. The searching catch field under different programs was achieved by simulation. The study result can provide reference for the design and inspection of target searching and scanning program of the seeker.

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Intelligent Acp Based Experimental Approach, Bin Chen, Xiaogang Qiu, Yiping Wang Jun 2020

Intelligent Acp Based Experimental Approach, Bin Chen, Xiaogang Qiu, Yiping Wang

Journal of System Simulation

Abstract: As an approach to solve the problems in complex system research, ACP (Artificial Society, Computational Experiments, Parallel Execution) has played an important role in research fields such as public safety. With the development of information technologies such as big data, intelligent learning, game play theory, an intelligent ACP based experimental approach was proposed to solve the kernel problems in current complex system research. The possibility analysis of the approach in public safety, biological threats and joint combat experiments was illustrated. The applications including evacuation, network opinion and chemical industrial park security of the approach in safety science …

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Modeling And Simulation Of Superheated Steam Temperature Based On Multi-Objective Genetic Algorithm, Zhenlong Wu, Ting He, Lingmei Wang, Fengsheng Jia, Yunkai Yang, Haishu Wu, Donghai Li, Han Lei Jun 2020

Modeling And Simulation Of Superheated Steam Temperature Based On Multi-Objective Genetic Algorithm, Zhenlong Wu, Ting He, Lingmei Wang, Fengsheng Jia, Yunkai Yang, Haishu Wu, Donghai Li, Han Lei

Journal of System Simulation

Abstract: The high order inertial transfer functions were used to approximate the distribution parameter model. In order to compare the influence of the order of the leading region and the inertia object model on the accuracy and get the dynamic parameters, the multi-objective genetic algorithm was used to optimize the model parameters according to the actual operation data of the power plant. The higher the order, the Pareto front moves forward and recognizes the higher accuracy by the simulation when the orders are in a reasonable range. The reasonable superheated steam temperature system model was established considering the engineering …

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Research On Techniques Of Shipboard Aviation Scene Simulation Based On Unigine, Yuanming Wang, Kuan Lu, Jia Qian, Guangqing Hu Jun 2020

Research On Techniques Of Shipboard Aviation Scene Simulation Based On Unigine, Yuanming Wang, Kuan Lu, Jia Qian, Guangqing Hu

Journal of System Simulation

Abstract: The main 3D modeling tools and scene simulation tools were introduced. Aiming at the application requirements of shipboard aviation scene simulation, the implementation framework of shipboard aviation scene simulation based on Unigine was provided. The key techniques of scene simulation, such as large scene management, visual program execution mechanism, multi-channel visual rendering and so on, were studied. The five channel scene simulation system for shipboard aviation was developed by applying these techniques, and the core functions were designed and implemented. The results show that the scheme can meet the requirements, and the simulation results with high immersion …

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Off-Line Calibration Of Dynamic Traffic Assignment System Based On Flowsim, Yuhan Jia, Jianping Wu, Xu Ming, Mingyu Liu, He Lei Jun 2020

Off-Line Calibration Of Dynamic Traffic Assignment System Based On Flowsim, Yuhan Jia, Jianping Wu, Xu Ming, Mingyu Liu, He Lei

Journal of System Simulation

Abstract: Advanced dynamic traffic assignment (DTA) system can be utilized to mitigate traffic congestion. Therefore, the calibration of DTA parameters is becoming increasingly significant in traffic research area. Based on extended Kalman Filter (EKF) and unscented Kalman Filter (UKF) algorithms, a case study for the off-line calibration of DTA was proposed using the microscopic traffic simulation system of FlowSIM. Experiments with a synthetic network validate the effectiveness of the two solutions, and the UKF shows better accuracy than the EKF algorithm. Furthermore, the performance of FlowSIM is promising to conduct the calibration of traffic system in future …

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Threat Assessment Of Aircraft Carrier Formation Based On Hierarchical Bayesian Network, Chen Long, Yaping Ma Jun 2020

Threat Assessment Of Aircraft Carrier Formation Based On Hierarchical Bayesian Network, Chen Long, Yaping Ma

Journal of System Simulation

Abstract: The use of bayesian network model for threat assessment is a relatively new quantitative analysis method. The hierarchical bayesian network model was applied to aircraft carrier formation to assess submarine formation threat for the first time, which also assessed the threat level of the submarine formation, to achieve the purpose of assisting decision-making for aircraft carrier formation commanders in anti-submarine warfare. The hierarchical bayesian network model was described. The causes and the mechanism of the aircraft carrier formation from the underwater target threat, integrated force data, institutional experts and information were analyzed. A reliable aircraft carrier formation hierarchical …

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Simulation-Based Optimization For Site Selection Of Agv Charging Mode, Danlan Xie, Haihong Yu, Chen Jing, Zhipeng Gao, Zhanghao Zhang Jun 2020

Simulation-Based Optimization For Site Selection Of Agv Charging Mode, Danlan Xie, Haihong Yu, Chen Jing, Zhipeng Gao, Zhanghao Zhang

Journal of System Simulation

Abstract: With the development of intelligent manufacturing, automation of production line is improving. AGV (automated guided vehicle) as a necessary device in the automation system, it is important to design its charging system. Aiming at the problem of the site selection of online charging, the software FlexSim was used to build simulation model, based on the operation requirements of an actual assembly shop, in an actual planning process. Through a large number of simulation experiments, the maximum stay location of AGV in the different lines was obtained under the influence of random factors. By comparing the idle and blocked …

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Research On Online Lssvm Prediction Based On Hermite Matrix Inversion, Hong Bei, Xuepeng Jiang, Yudong Qi, Qinghua Chen Jun 2020

Research On Online Lssvm Prediction Based On Hermite Matrix Inversion, Hong Bei, Xuepeng Jiang, Yudong Qi, Qinghua Chen

Journal of System Simulation

Abstract: For forecasting the gyro drift tendency of a missile, a prediction model based on LSSVM was established taking the time series of gyro's drift as study object, and an online algorithm for nonlinear system based on hermite matrix inversion was proposed. The mathematical model of regression LSSVM, and online learning algorithm were introduced. Based on the characteristic that the reproducing kernel matrix is Hermite and positive definite, a new online learning algorithm was proposed by matrix block-inversion. The algorithm was applied to prediction research on real gyro drift data of certain missile. The experiment results show that the …

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Extended Target Tracking In Presence Of Target Crossing, Jinguang Chen, Mengxi Jiang, Lili Ma Jun 2020

Extended Target Tracking In Presence Of Target Crossing, Jinguang Chen, Mengxi Jiang, Lili Ma

Journal of System Simulation

Abstract: In the process of extended target tracking, if there are some crossing targets, target missing problem in target estimation will appear when the extended target Gaussian mixture probability hypothesis density filter is used directly. Aiming at this problem, an improved algorithm was proposed. Euclidean distances among targets estimated were calculated at each time, and then these targets were distinguished if they were in an adjacent region or not. In the next time step, Gaussian components weights of the targets in the same adjacent region were compensated if the target number estimated became small; otherwise, there was nothing to do. …

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Application Of Haze Forecasts Based On Combined Multivariable And Probability Stepwise Regression, Yonghua Xie, Le Yang, Mingmin Zhang, Hengde Zhang Jun 2020

Application Of Haze Forecasts Based On Combined Multivariable And Probability Stepwise Regression, Yonghua Xie, Le Yang, Mingmin Zhang, Hengde Zhang

Journal of System Simulation

Abstract: Aiming at the less models available and poor prediction performance of current haze forecasting, combining statistical forecast and numerical prediction, a new haze prediction model was proposed based on hybrid stepwise multivariable and probability regression. Multivariable stepwise regression was used to control physical factors which influenced depending variable and the equation for atmosphere visibility wasgenerated. A haze prediction model based on binary variables was established using probability regression combined with factors like visibility and relative humidity. Experimental results have proved that compared with the existing CUACE, which is one of the main digital haze forecasting system, the accuracy using …

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Orthogonal Wavelet Transform Blind Equalization Algorithm Based On Tabu Search And Double-Stranded Dna Computimg, Yecai Guo, Jieru Zhang, Binglong Zhang Jun 2020

Orthogonal Wavelet Transform Blind Equalization Algorithm Based On Tabu Search And Double-Stranded Dna Computimg, Yecai Guo, Jieru Zhang, Binglong Zhang

Journal of System Simulation

Abstract: Aiming at disadvantages of orthogonal wavelet transform constant modulus blind equalization algorithm (WTCMA), such as slower convergence rate, larger mean square error, and immerging in partial minimum easily, an orthogonal wavelet transform blind equalization algorithm based on Tabu search strategy and adaptive double-stranded DNA genetic algorithm (TD-DNAGA-WTCMA) was proposed. DNA populations were initialized by using double-stranded DNA form, to select the single-stranded DNA sequences whose fitness value are largest as the representative strands of the double-stranded individuals. In order to ensure different paths which ccould be searched and escaped from local optimum, Tabu search strategy was introduced into …

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Study On Vacuum Dehydration Rate From Oil Based On T_S Fuzzy Identifying Model, Liu Ge, Bin Chen, Xianming Zhang Jun 2020

Study On Vacuum Dehydration Rate From Oil Based On T_S Fuzzy Identifying Model, Liu Ge, Bin Chen, Xianming Zhang

Journal of System Simulation

Abstract: The process of vacuum dehydration from oil is time-varying, nonlinear, and difficult to be specified with mathematical methods. Takagi-Sugeno (T_S) fuzzy model of vacuum dehydration rate of oil purifier is proposed, which a method of applying Fuzzy C-Means (FCM) clustering algorithm and using the least square method identifying the consequent parameters. The nonlinear mapping is set up from four influence factors (the initial water content, the vacuum pressure , the initial temperature and running time) to vacuum dehydration rate using the T_S fuzzy model. The simulation and experimental results show the T_S model reflects the laws of the influences …

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Two Grade Learning Goal Neural Network Modeling With Power Activation Function, Jiacun Liu, Qixiang Mei, Donghong Yang Jun 2020

Two Grade Learning Goal Neural Network Modeling With Power Activation Function, Jiacun Liu, Qixiang Mei, Donghong Yang

Journal of System Simulation

Abstract: In order to obtain the very generalized and accurater mathematic model, a regression neural network algorithm with frequency decomposition power function and two grade learning objectives was proposed. The network structure is divided into frequency decomposition, input layer, hidden layer and output layer. The input signal is decomposed into several frequency range and sent to the hidden layer. The transfer function of hidden layer is power function. The hidden layer and output layer have learning objectives respectively, and the neural network has local and globe feedback. The hidden layer adopts the local gradient algorithm based on vector angle and …

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Target Tracking In Hybrid Environment Based On Imm-Ukf-Cs, Zhou Yan, Hu Lan, Dongli Wang Jun 2020

Target Tracking In Hybrid Environment Based On Imm-Ukf-Cs, Zhou Yan, Hu Lan, Dongli Wang

Journal of System Simulation

Abstract: To attack the maneuvering target tracking problem in LOS/NLOS hybrid environments, an interacting multiple model (IMM) tracking algorithm based on "current" statistical (CS) model and unscented Kalman filter (UKF) was proposed (IMM-UKF-CS). In the framework of IMM, it took advantage of CS in maneuvering target tracking and chose UKF as the sub-filter for the high positioning accuracy and low computational cost. Simulation results show that IMM-UKF-CS possesses higher tracking accuracy, better robustness and lower time cost, which promises for maneuver target tracking in LOS/NLOS hybrid environments.

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Multi-Objective Optimization To The Suspension Of An Off-Road Vehicle Based On Kriging Approximate Modeling, Hongni Zhou, Feng Ying, Zhenxiao Wang, Weibing Fan Jun 2020

Multi-Objective Optimization To The Suspension Of An Off-Road Vehicle Based On Kriging Approximate Modeling, Hongni Zhou, Feng Ying, Zhenxiao Wang, Weibing Fan

Journal of System Simulation

Abstract: Based on a Dongfeng off-road vehicle, the kinetic simulating and integrating process of the independent suspension assembly was established by integrating the multidisciplinary optimization software iSIGHT and ADAMS/Car. The optimal objective considered the variation quantity and tendency of the suspension alignment parameters as the wheels traveling was proposed, and the multi-objective optimization of the suspension was achieved by applying the DOE analysis and NSGA-II genetic algorithm. To enhance the optimal efficiency, a high-precision approximate model was established based on Kriging approximate modeling method. The results suggest both the simulating curves of two models are closing to the objective …

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Parallel Method For Extracting Pulses From Multi-Source Massive Partial Discharge Signals, Liuwang Wang, Yongli Zhu, Yafei Jia Jun 2020

Parallel Method For Extracting Pulses From Multi-Source Massive Partial Discharge Signals, Liuwang Wang, Yongli Zhu, Yafei Jia

Journal of System Simulation

Abstract: Aiming at the issue of discharge pulse extraction for multi-source and massive PD signals, a novel parallel method based on Message Passing Interface was proposed. The proposed method applied a parallel mode called manager-worker-writer. In this method, a manager dynamically assigned task to several workers, and these workers executed tasks in parallel and a writer received results from workers in real time, so data management was separated from task execution. In addition, the manager identified sources of PD signals and sent them to workers as the keys for analyzing different data files and setting algorithm parameters, so multi-source and …

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Analysis Of Finite Element Method On Dynamic Contact Of Corn Ear, Xinping Li, Ma Lei Jun 2020

Analysis Of Finite Element Method On Dynamic Contact Of Corn Ear, Xinping Li, Ma Lei

Journal of System Simulation

Abstract: According to the arrangement law of corn ear kernels, the solid model and the finite element model of the corn ear were established. ANSYS LS-DYNA software was used to analyze the distribution and transmission of stress on the corn ear shocked by wedge impact head. The simulation shows that on the corn ear the Von Mises of the region which is shocked is bigger than other region. Initial phase of the impact head shocking the corn ear, the Von Mises concentrate on both sides of shocked corn kernels. With the falling of the impact head, the Von Mises transmit …

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Simulation Research On Twc Dynamics Model During Cold Starting For Hybrid Electric Vehicle, Deng Tao, Xiaojing Li, Chunsong Lin, Renzhi Lu Jun 2020

Simulation Research On Twc Dynamics Model During Cold Starting For Hybrid Electric Vehicle, Deng Tao, Xiaojing Li, Chunsong Lin, Renzhi Lu

Journal of System Simulation

Abstract: To reduce the emissions for gasoline engine during cold starting, the influences of crevice effect, wet wall effect because of the low cylinder temperature, adsorption/desorption of cylinder oil film and incomplete combustion on the HC emissions were analyzed. Moreover, the influences of the storage and release of oxygen on effective oxygen concentration were considered. The three-way catalytic (TWC) model was established with the lumped parameter method and analyzed under NEDC cycle. The temperature of exhaust gas getting in and out of the catalytic converter, the quantity and the efficiency curve of emissions were obtained. Furthermore, the conversion efficiency …

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Simulation Research On Electromagnetic Radiation Noise Of Pantograph Arc, Fengyi Guo, Xili Wang, Xingbang Hu, Zhiyong Wang, Yanli Liu Jun 2020

Simulation Research On Electromagnetic Radiation Noise Of Pantograph Arc, Fengyi Guo, Xili Wang, Xingbang Hu, Zhiyong Wang, Yanli Liu

Journal of System Simulation

Abstract: Pantograph-catenary system electromagnetic noise radiation not only endangers traffic safety, but also adversely affects the health of nearby residents and communications along the railway. By studying the radiation characteristics of the electromagnetic noise of the pantograph-catenary, provide a theoretical basis for suppression its radiation intensity. A Matlab simulation model of the pantograph offline arc was established, the simulation result shows out the discharge characteristics and the spectrum bounds of the arc. Then using the finite element analysis software to do a simulation analysis about pantograph typical frequency of the arc, the far-field and near-field characteristics based on the pantograph …

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