Research On Construction Method Of Data-Driven Equipment Effectiveness Evaluation Model,
2019
Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China;
Research On Construction Method Of Data-Driven Equipment Effectiveness Evaluation Model, Yingbo Lu, Xiaochao Qian, Chen Wei, He Shu, Zhifeng Lu
Journal of System Simulation
Abstract: The problem of weapon equipment effectiveness evaluation is complex and nonlinear. However, the analytical method cannot empower evaluation index objectively or establish the mathematical model accurately. This paper proposes a data-driven evaluation model construction method. We introduce meta-model technology like GA-BP algorithm to construct effectiveness evaluation model, which can mine relationships and weights between indicators objectively. We take the interception effectiveness evaluation of a certain type of air defense missile weapon system as an example to verify the feasibility of this method. The method is helpful to optimize technical indicators and predict effectiveness rapidly.
Real-Time Rendering Of Massive Cad Models For High-Credibility Simulation,
2019
1. State Key Laboratory of Intelligent Manufacturing System Technology, Beijing Institute of Electronic System Engineering, Beijing 100854, China; ;2. Beijing Complex Product Advanced Manufacturing Engineering Research Center, Beijing Simulation Center, Beijing 100854, China; ;
Real-Time Rendering Of Massive Cad Models For High-Credibility Simulation, Junjie Xue, Junhua Zhou, Guoqiang Shi, Huiyang Qu
Journal of System Simulation
Abstract: The full-size 3D models of complex products have huge data sizes and are extremely complex. It is difficult to meet the requirements for the real-time rendering efficiency of the simulation application by merely relying on the performance of the existing computer hardware. This paper proposes a geometry metric method based on minimum bounding box and multi-view projection, which can accurately identify narrow and irregular small parts in the model. Combining with a model-details-filtering based adaptive LOD rendering algorithm, the real-time rendering of massive CAD models is realized. The experiments are carried out on the Boeing 777 aircraft model. The …
Simulation Of Influence Of Coal-Based Industry On Water Resources Bearing System,
2019
1. Nanjing University of Finances and Economics, Nanjing 210023, China; ;
Simulation Of Influence Of Coal-Based Industry On Water Resources Bearing System, Yalin Chen, Wangsheng Gui, Qianjin Dong, Ye Chun, Haotian Wu
Journal of System Simulation
Abstract: The contradictory spatial distribution between China's coal resources and water resources has become the stress to sustainable development of regional ecological environment and social economy. The paper presents interactive simulation model of regional water resources bearing system based on System Dynamics; and then Ningxia Hui Autonomous Region is used as an example, the dynamic process of local water bearing system was simulated under different scenarios of planning. The simulation results show that regional sustainable development of water resources would be achieved if the resources are allocated based on the market, while the gap between supply and demand of regional …
Research Of Turbulence Model Parameters Correction For Oil Flow Of Pipeline,
2019
1. School of Automation, Northwestern Poly technical University, Xi’an 710072, China;; ;
Research Of Turbulence Model Parameters Correction For Oil Flow Of Pipeline, Jisen Wang, Jia Qian, Chen Chen, Yaping Zhang, Du Jiang
Journal of System Simulation
Abstract: Because of the limitation of the parameters in the Realizable k-ε two equations model, the model is no longer suitable to simulate the pressure loss of the turbulent oil flow of pipelines. A mathematical model of the oil flow of pipeline is built, and the Realizable k-ε model default parameters are modified according to the test results of YH-15 aviation hydraulic oil to obtain new parameters used to simulate the pressure loss in other conditions. Compared to the model with default parameters, numerical simulations and experimental results show that the maximum relative error is reduced …
Multi-Algorithm And Multi-Population Co-Optimization Differential Evolution Algorithm,
2019
Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University (Baoding), Baoding 71003, China;
Multi-Algorithm And Multi-Population Co-Optimization Differential Evolution Algorithm, Jinghua Zhang, Han Pu
Journal of System Simulation
Abstract: Algorithm fusion or co-evolutionary with multi populations are the solutions for complex engineering application. A multi-algorithm and multi-population collaborative optimization algorithm is proposed by differential evolution (DE) algorithm, which pays emphasis on algorithm selection and combination. The algorithm designs a parameter-adaptive DE algorithm and selects three different DE algorithm variants which is complementary for each other and provides a multi-population co-optimization scheme according to four algorithms characters. Stimulation results show that the proposed algorithm could make four different algorithms remedy for each other, gets a better result, and raises the precision, reliability and suitability, which reduces algorithm selection difficulty …
Detailed Enhancement Of Forward Vehicle Video Images Based On Structured Forest,
2019
1.Southwest Jiao tong University, Chengdu 610031, China; ;
Detailed Enhancement Of Forward Vehicle Video Images Based On Structured Forest, Weidong Jin, Yanhua Hu, Tang Peng, Li Wei
Journal of System Simulation
Abstract: In view of the complexity of existing image enhancement methods, which cannot highlight the detection target, this paper proposes a method for detail enhancement of forward vehicle video based on structured forest. This method is mainly divided into two parts: structured forest edge detection and visual enhancement. This paper implements the detail edge extraction and enhancement of the patrolling image of the catenary. The gray histogram distribution after processing is more balanced, and the difference between the average values of gray levels in the detail area and background area of the enhanced patrol image is the standard deviation. The …
Channel Modeling And Networking Simulation Of Full Duplex Communication,
2019
EECS of Peking University, Beijing 100871, China;
Channel Modeling And Networking Simulation Of Full Duplex Communication, Zhimin Liu, Sun Jie, Jiarui Ding
Journal of System Simulation
Abstract: Full duplex communication is a new wireless communicating technology for improving the spectrum efficiency substantially. Few researches study full duplex networking technology now nationally and internationally. The architecture and implementation approach of full duplex communication system are introduced to describe the main model and functions of the platform in detail. After analyzing different kinds of self-interference cancellation technology, the self-interference cancellation module and channel model of full duplex system in the platform is built based on C language,which lays a foundation for prospective full duplex networking technology. Simulation results verify the platform’s effectiveness, and present the spectrum efficiency and …
Prediction Model For Breakdown Voltage Of Transformer Oil Based On Relative Transformation And Kernel Principal Component Analysis,
2019
School of Physical Science and Engineering, Yichun University, Yichun 336000, China;
Prediction Model For Breakdown Voltage Of Transformer Oil Based On Relative Transformation And Kernel Principal Component Analysis, Yinguo Xiong
Journal of System Simulation
Abstract: Aiming at the difficulty of measuring the breakdown voltage of transformer oil on line, a new prediction model for breakdown voltage of transformer oil is proposed based on relative transformation (RT) and kernel principal component analysis (KPCA). By analyzing the factors that are closely related to the breakdown voltage, the original data space is converted to the relative data space by relative transformation to improve the distinguishability between data. KPCA is employed in the relative space for the purpose of data dimension reduction, denoising and extracting nonlinear features. Kernel principal components extracted by KPCA are used as the input …
Simulation And Analysis Of Blasting Effect For Multi-Core Tube-Hollow-High-Rise Building,
2019
1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China; ;2. Tunnel & Underground Structure Engineering Center of Liaoning, Dalian Jiaotong University, Dalian 116028, China;; ;
Simulation And Analysis Of Blasting Effect For Multi-Core Tube-Hollow-High-Rise Building, Tiejun Cui, Shasha Li, Laigui Wang
Journal of System Simulation
Abstract: In order to study the complex high-rise building structure collapse process and effect of blasting, the blasting simulation of building containing multi-core tube and hollow structure are performed. Simulation building has hollow-four core tube-frame structure and the core tube throughout the whole building. Particle flow method is used to model the building, and blasting simulation is implemented using the blast algorithm based on particle flow. According to the structure characteristics and the distance of core tube and architecture center, the implementation of blasting is three groups design. The processes of blasting and the blasting results are analyzed. Results show …
Simulation Of Neighbor Discovery Algorithm In Directional Antenna Ad Hoc Networks Based On Opnet,
2019
1. Department of Electronic Technology, China Maritime Police Academy, Ningbo 315801, China; ;
Simulation Of Neighbor Discovery Algorithm In Directional Antenna Ad Hoc Networks Based On Opnet, Li Mo, Zhao Liang
Journal of System Simulation
Abstract: Neighbor discovery problem in directional antenna Ad Hoc networks is studied. A Q-Learning neighbor discovery algorithm is proposed, and a simulation model for directional antenna Ad Hoc networks based on OPNET software is setup. This algorithm makes a decision of transmitting and receiving mode for every neighbor scanning without the information of neighbor position through the Q-Learning mechanism. The reward value is determined according to the current scanning result, and the experiences are learned in order to improve the neighbor discovery efficiency. The simulation model based on OPNET software is constructed using three-layer modeling mechanism. Then the directional antenna …
Simulation Of Transient Temperature Field Of Current-Carrying Sliding Friction Pair,
2019
1. Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China; ;
Simulation Of Transient Temperature Field Of Current-Carrying Sliding Friction Pair, Fengyi Guo, Hongxin Gao, Liu Shuai, Zhiyong Wang, Zhang Kai, Aijun Wang
Journal of System Simulation
Abstract: The transient temperature rise of pantograph and catenary system could affect material properties of the friction pair, which accelerates the wear of system. In order to reduce the wear caused by temperature, transient temperature and distribution of copper/copper-carbon friction pair are studied. A simulation model is established by using COMSOL Multiphysics software. Model effectiveness is verified with temperature experiments. The transient process of temperature field is studied by simulation. The results show that the temperature rise of carbon plate has small cyclical peaks. The highest temperature appears on the contact region in the initial stage of running. Temperature gradient …
Design And Study Of Forest Fire Forecasting Based On Pso And Ga-Bp Neural Network,
2019
Nanchang Institute of Technology, Nanchang 330044, China;
Design And Study Of Forest Fire Forecasting Based On Pso And Ga-Bp Neural Network, Shuhua Bai, Mingxing Kuang
Journal of System Simulation
Abstract: This paper collects the 2013-2015 meteorological data of four stations (Nanchang, Jingdezhen, Gi’an, Ganzhou) in Jiangxi province, and the corresponding forest fire danger grading, to establish a neural network fire prediction model. Corresponding network model is built respectively by adopting the genetic algorithm, particle swarm optimization (PSO) algorithm and particle swarm genetic hybrid algorithm to optimize the BP neural network. By comparing the prediction results of BP network, GA-BP network, PSO-BP network and PSO-GA-BP network with the experiments data, it shows that the PSO-GA-BP network prediction model is of higher accuracy, the PSO and GA enjoy the best …
Simulation Method Of Electromechanical Coupling Of Slot Antenna Based On Mesh Transmission,
2019
1.China Electronics Technology Group Corporation No.10 Research Institute, Chengdu 610036, China; ;
Simulation Method Of Electromechanical Coupling Of Slot Antenna Based On Mesh Transmission, Wang Yong, Ren Dan, Dandan Wang, Xuexiao Zheng
Journal of System Simulation
Abstract: Electromechanical coupling involves mechanical and electromagnetic interaction, and data transfer between different physical fields is the key to the electromechanical coupling simulation. An efficient and accurate method based on mesh transmission to analyze the electromechanical coupling of slot antenna is presented. Force analysis of antenna is achieved by ANSYS and the interface program is written by APDL language. The deformed mesh generated by force analysis is obtained and outputted to hypermesh software to extract the deformed mesh surface. The surface mesh is imported into the electromagnetic field analysis software FEKO to calculate the electromagnetic performance of the antenna. The …
Neural Network Minimun Parameter Sliding Control Of Blood Pump Based On Heart Rate,
2019
School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China;
Neural Network Minimun Parameter Sliding Control Of Blood Pump Based On Heart Rate, Huibo Liu, Liu Mu
Journal of System Simulation
Abstract: An intelligent algorithm is designed to control the blood pump to assist natural cardiac blood pumping and to meet the needs of blood perfusion. The algorithm combines sliding mode control which does not depend on object model and RBF neural network which has optimal approximation properties to design controller. Minimum parameter learning method is used to design the adaptive law, adjust the weights of neural network. In order to ensure the real time, the speed signal is given by the function of blood flow, blood pump speed and heart rate. Through comparing with PID algorithm, the research shows that: …
Soft-Sensor Method Of Low Pressure Cylinder Exhaust Flow Of Heating Units,
2019
School of Control and Computer Engineering, North China Electric Power University, Baoding 071000, China;
Soft-Sensor Method Of Low Pressure Cylinder Exhaust Flow Of Heating Units, Tian Liang, Wang Tong
Journal of System Simulation
Abstract: In order to improve the capacity of absorbing the wind power, power grid requests heating units to reduce the power load limit as far as possible. Turbine exhaust steam flow is a main parameter which determines power load limit. By analysing the balance of the mass-energy on vapor flow, and choosing the condensate flow and enthalpy rise of condensate and enthalpy drop of number 6 low pressure heater as auxiliary variables, soft-sensor method of low pressure cylinder exhaust flow is established. Furthermore, number 7 and number 8 extraction pressure and temperature are chosen simultaneously and dynamic low pressure cylinder …
Study On Stability Of Bbmc Under Voltage And Current Control Mode,
2019
National-Local Joint Engineering Laboratory of Marine Mineral Resources Exploration Equipment and Safety Technology, Hunan University of Science and Technology, Xiangtan 411201, China;
Study On Stability Of Bbmc Under Voltage And Current Control Mode, Xiaoping Zhang, Xiaoqiu Li, Wu Zhi
Journal of System Simulation
Abstract: In the paper, the stability of Buck-Boost matrix converter in voltage/current control mode is studied, and a nonlinear modeling and analysis method on the Buck-Boost matrix converter is proposed. The discrete iterative nonlinear mapping model of the converter is established. The influence of voltage feedback coefficient K1 and current proportional coefficient K2 on system stability is analyzed by sampling the distribution map of output voltage, hence, the stable domain of K1-K2 is determined. The influence on converter stability is verified and analyzed by the time domain waveform, the stroboscopic sampling chart and the …
Anchor Adaptive Movement Algorithm For Mobile Nodes Localization,
2019
Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Anchor Adaptive Movement Algorithm For Mobile Nodes Localization, Zhou Fei, Wennan Liu
Journal of System Simulation
Abstract: Location awareness is very important in mobile sensor networks. The existing methods mainly focus on the improvement based on the MCL (Monte Carlo Localization), few of them study the anchor path planning. However, anchors random movement usually causes the waste of energy and resource. Aiming at this deficiency, this paper adopts the grid benefit criterion and achieves anchors adaptive movement. Threshold instead of traversal method is used to reduce the amount of calculation and positioning time. In order to solve the anchors aggregation problem during adaptive movement, we divide the target area into four subareas and constrain part of …
Characteristic Analysis Of Tri-Stable Stochastic Resonance With Levy Noise,
2019
1. Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; ;
Characteristic Analysis Of Tri-Stable Stochastic Resonance With Levy Noise, Lifang He, Yingying Cui, Guoquan Li, Jinzhao Lin
Journal of System Simulation
Abstract: The characteristic analysis of tri-stable stochastic resonance with Levy noise is analyzed deeply with Levy noise being combined with a tri-stable stochastic resonance system and average signal-to-noise ratio gain being used as index. The effect of tri-stable system parameters w, a, b and Levy noise intensity amplification factor D on the resonant output is explored with different Levy noise. Results show that for different distribution of Levy noise, the stochastic resonance phenomenon can be induced by tuning the system parameters. The parameter intervals which can induce stochastic resonances are approximately equal. Moreover, by adjusting the intensity …
Research On Fjsp Problem Of Invasive Weed Optimization Based On Hybrid Strategy,
2019
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;
Research On Fjsp Problem Of Invasive Weed Optimization Based On Hybrid Strategy, Li Ke, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: To solve the flexible job-shop scheduling problem more effectively, an improved invasive weed algorithm was proposed. A random key encoding scheme based on transformed sequences was proposed and an adaptive Gauss mutation operator was introduced to diversity the population in the process of weed breeding. In spatial diffusion stage, the standard deviation of normal distribution based on tangent function was used as seed’s new step size search method. In competition of invasive weed stage, by using the guided search strategy in the bee colony algorithm, the weed was guided to improve its ability to jump out of the …
Approach For Lithium-Ion Battery Rul Prognostics Based On Cpso-Rvm,
2019
1. School of Physics and Electronic Engineering, Anqing Normal University, Anqing 246011, China; ;2. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China;
Approach For Lithium-Ion Battery Rul Prognostics Based On Cpso-Rvm, Chaolong Zhang, Yigang He, Lifen Yuan
Journal of System Simulation
Abstract: On account of the measured battery state of health (SOH) data are often subject to different levels of noise pollution, a battery remaining useful life (RUL) prognostics approach is presented based on wavelet denoising and CPSO-RVM in the paper. Wavelet denoising is performed twice with different thresholds in order to weaken the strong noise and remove the weak noise. Relevance vector machine (RVM) improved by chaos particle swarm optimization (CPSO) algorithm is utilized to estimate the trend of battery SOH variation trajectory and predict the battery RUL based on the denoised data. RUL prognostic experiments using battery data provided …
