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Articles 2791 - 2820 of 3977

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

Simulation Study Of Nuclear Fuel Cycle Mode Based On Third Generation Pwr In China, Zhibin Liu, Ma Jin, Bingshu Wang, Xinhui Duan Jun 2020

Simulation Study Of Nuclear Fuel Cycle Mode Based On Third Generation Pwr In China, Zhibin Liu, Ma Jin, Bingshu Wang, Xinhui Duan

Journal of System Simulation

Abstract: Based on the State Council 2012 “Nuclear Safety Plan (2011-2020)” and “Nuclear Medium and Long-term Development Plan(2011-2020)”, the report of “the research on China energy medium and long-term(2030, 2050) development strategy”of China Academy of Engineering Physics and “Chinese 13th Five-Year Plan ” combined the primary of operating M310 type reactors and the third generation HPR1000, AP1000, CAP1400, and the current and future PWR nuclear fuel cycle mode was studied under MATLAB simulation environment employing “once through” mode. The demand of natural uranium resource, separate works, the amount of spent fuel, plutonium, also minor actinides arising following the accumulative PWR …

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Combinatorial Optimization Of 3d Visualization Simulation Based On Automatic-Correction, Yanyang Zeng, Qingqing Pei, Fengju Kang Jun 2020

Combinatorial Optimization Of 3d Visualization Simulation Based On Automatic-Correction, Yanyang Zeng, Qingqing Pei, Fengju Kang

Journal of System Simulation

Abstract: In order to enhance the visual simulation results, developers often need to combine and optimize the fine expression of the above entities, terrain and physical field by the individual experience under conditions of limited computer resources. The iterative process of debugging cycle is long, and it is difficult to solve the contradiction between good fidelity and real-time. So, cybernetics ideas, and proposes semi/fully automatic correction technology were introduced, which is composed of discrete multi-resolution representation of the three-dimensional model, assessment of visual effects and intelligent optimization, providing a decision support method for three-dimensional visual development. The method was applied …

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Research Of Modeling Of Spatial Information Support Sos Based On Complex Network Theory, Qingjun Zhang, Mingzhi Zhang, Qingjuan Zhang, Wu Xi Jun 2020

Research Of Modeling Of Spatial Information Support Sos Based On Complex Network Theory, Qingjun Zhang, Mingzhi Zhang, Qingjuan Zhang, Wu Xi

Journal of System Simulation

Abstract: Spatial information support system as the main body of space operations, in the future network of joint operations, plays a central role. Based on the characteristics of spatial information support system, a modeling method combining multi-agent, multi-resolution and complex network was proposed, and the spatial information support system model framework was constructed. Multi-agent model, multi - resolution model and complex network model were established, and the connectivity rate in the complex network model was simulated and analyzed, so as to lay the foundation for further research on the modeling of spatial information support system.

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Indoor Positioning Algorithm For Rfid Based On Newton Interpolation And Support Vector Regression Optimized By Hybridizing Grey Wolf Optimization, Yangjie Xu, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Indoor Positioning Algorithm For Rfid Based On Newton Interpolation And Support Vector Regression Optimized By Hybridizing Grey Wolf Optimization, Yangjie Xu, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Since the traditional LANDMARC location algorithms have poor positioning accuracy and cost laborious efforts to decorate reference tags in the RFID positioning system, a novel positioning algorithm proposed is based on the Newton interpolation method and support vector regression optimized by hybridizing grey wolf optimization with differential evolution (HGWOSVR). By using the proposed algorithm, Gaussian filter was used to deal with the sampling data of the reference tags.Newton interpolation method was adopted to estimate the RSS value of other reference tags to expand database. The HGWOSVR algorithm was employed to build the nonlinear relationship between the RSS value of …

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Research On Real-Time Arterial Coordination Traffic Signal Control Model Based On Minimum Per Capita Delay, Li Yang, Pengpeng Jiao, Meiqi Liu Jun 2020

Research On Real-Time Arterial Coordination Traffic Signal Control Model Based On Minimum Per Capita Delay, Li Yang, Pengpeng Jiao, Meiqi Liu

Journal of System Simulation

Abstract: To improve overall efficiency for all travelers of artery system, a real-time arterial coordination traffic signal control model was proposed. The model not only satisfied minimum per capita delay for all travelers on motor vehicles, but also selected effective green time and phase difference as the optimized parameters. The model of vehicle head delay and team tail delay was established based on traffic wave theory. The vehicle delay model for bus and social vehicles was developed in light of different occupancy rates, besides, the per capita delay could be obtained by introducing it. The results show that the …

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Radar Emitter Signal Identification Based On Slide+Svm, Yingkun Huang, Weidong Jin Jun 2020

Radar Emitter Signal Identification Based On Slide+Svm, Yingkun Huang, Weidong Jin

Journal of System Simulation

Abstract: For the deficiency of traditional techniques of emitter signal feature extraction which heavily rely on experience, a model of radar emitting signal identification based on feature self-learning was proposed. This model consists of following 2 parts. Firstly, transform radar signal into frequency domain, then reduce signal dimension by using improved Piecewise Aggregate Approximation (PAA) method. Secondly, create the model of multi-layer Liner Denoiser (LIDE) to feature learning by using unsupervised training method. The validity of model was verified by simulating 5 different kinds of emitting signal with the outcome that excellent identification accuracy could be achieved at …

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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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Novel Automatic Pavement Crack Detection Algorithm, Shangbing Gao, Xie Zheng, Zhigeng Pan, Fangzhe Qin, Li Rui Jun 2020

Novel Automatic Pavement Crack Detection Algorithm, Shangbing Gao, Xie Zheng, Zhigeng Pan, Fangzhe Qin, Li Rui

Journal of System Simulation

Abstract: The complexity of noises covers a wide area of actual road images which causes that it is difficult to detect cracks. An automatic pavement crack detection algorithm was proposed in view of the characteristics of crack image in pavement disease. Gray-scale correction and filtering was used to preprocess the crack image. The maximum interclass variance method and Canny operator were used to detect the edge of the disease image, and then the localization and accurate segmentation algorithm was proposed for the crack image based on the maximum connectivity of the crack in the fracture image. The convolution neural network …

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Research On Technology Of Data Storage And Access In High-Throughput Simulation, Zishuo Wang, Yanlong Zhai, Wenjun Tao, Yang Hao, Zhang Han, Duzheng Qing Jun 2020

Research On Technology Of Data Storage And Access In High-Throughput Simulation, Zishuo Wang, Yanlong Zhai, Wenjun Tao, Yang Hao, Zhang Han, Duzheng Qing

Journal of System Simulation

Abstract: Aiming at the massive data processing requirements of simulation application in the big data environment, the concept and reference structure of high-throughput simulation were proposed and defined in accordance with the architecture and technical characteristics of high-throughput big data computing. For the problem of data access bottleneck in high-throughput simulation, a high-throughput simulation data storage and access system was designed based on distributed memory file system, and the non-volatile memory was integrated to improve the throughput of data access. The experimental results of typical simulation applications show that the high-throughput simulation storage system with distributed memory file system and …

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Design And Application Of Surgical Navigation System Based On Visual Technology, Kun Lan, Zhang Yan, Xukun Shen Jun 2020

Design And Application Of Surgical Navigation System Based On Visual Technology, Kun Lan, Zhang Yan, Xukun Shen

Journal of System Simulation

Abstract: A navigation system based on vision was designed to solve the problem of using complex equipment to assist the real-time tracking of surgical instruments because of low registration of 3D in the existing surgical navigation system. Face point cloud was reconstructed in the patient's space by using the sinusoidal structured light; From rough to precise registration, patient space and model space were made by using facial feature; The three dimensional coordinates of the marker points on surgical instruments was restored by using continuous corner detection algorithm, binocular stereo vision principle and Kalman filter algorithm to obtain accurate position …

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Vehicle Logo Recognition Based On Sparse Sampling And Gradient Distribution Features, Binbin Zhou, Shangbing Gao, Zhigeng Pan, Liangliang Wang, Hongyang Wang Jun 2020

Vehicle Logo Recognition Based On Sparse Sampling And Gradient Distribution Features, Binbin Zhou, Shangbing Gao, Zhigeng Pan, Liangliang Wang, Hongyang Wang

Journal of System Simulation

Abstract: The vehicle logo location and recognition are separated in the traditional method, the location errors will affect the subsequent recognition, at the same time the vehicle logo images are with low resolution and poor quality. Thus, a novel method was proposed which integrated the vehicle logo location and recognition organically. The sample images were sampled by sparse sampling, and then the point set was divided into adjacent point set and non adjacent point set, and the gradient feature and light and dark feature were extracted respectively, constructing the feature library. The logo coarse location area was multi-scale scanned. The …

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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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Novel Hierarchical Level Of Detail Combinatorial Optimization Method For Large-Scale 3d Scene, Che Li, Fengju Kang, Xueli Hou Jun 2020

Novel Hierarchical Level Of Detail Combinatorial Optimization Method For Large-Scale 3d Scene, Che Li, Fengju Kang, Xueli Hou

Journal of System Simulation

Abstract: The traditional design process of large-scale 3D scene is cumbersome and lengthy and fail to provide ideal scene rendering effect. Aiming at this problem, a feedback mechanism based combinatorial optimization of level of detail (LOD) model for large-scale 3D scene was proposed. Through analyzing the influence of observation distance, moving speed and other factors on visual perception, the mathematical model of visual sensitivity was established. By the frame rate and visualization effect feedback, invoking the model level selection criterion to adjust the model's LOD level, and eventually an optimal scene model combination solution could be obtained. Experimental results demonstrate …

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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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Improved Shuffled Frog-Leaping Algorithm For Solving Flexible Job Shop Scheduling Problem, Xiaoxing Zhang, Wang Yan, Dahu Yan, Zhicheng Ji Jun 2020

Improved Shuffled Frog-Leaping Algorithm For Solving Flexible Job Shop Scheduling Problem, Xiaoxing Zhang, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the characteristics of flexible job shop scheduling problem, a multi-objective scheduling model with maximum completion time and minimum energy consumption was proposed. An improved shuffled frog leaping algorithm was developed. By designing the local updating strategy based on crossover operation of maximum preserved crossover (MPX) and shifting operation of single parent gene algorithm (PGA), it avoided the illegal solution and trimming of the algorithm. Additionally, it accelerated optimization rate of the algorithm. And the optimal solution of the group was optimized by the simplified neighborhood optimization strategy to prevent the algorithm from falling into the local optimum. …

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Energy Efficiency Evaluation Of Discrete Manufacturing System Based On Improved Entropy Method, Zhuqing Peng, Wang Yan, Zhicheng Ji Jun 2020

Energy Efficiency Evaluation Of Discrete Manufacturing System Based On Improved Entropy Method, Zhuqing Peng, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the characteristic of dynamic change randomness, variety, complexity and diversity in discrete manufacturing system, nine evaluation indexes were concluded from four aspects including product, equipment, economy and task flow, and energy efficiency evaluation index construction of discrete manufacturing system was structured. An improved entropy method was proposed. As the discrete degree of an index was too large when the entropy method was used to assign weight, the weight of the index would be very large. The idea of Analytic Hierarchy Model was used to improve the entropy method. So the improved entropy method could evaluate the discrete manufacturing …

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Research And Implementation On Source Term Estimation Methods Of Pollution In Chemical Parks, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Rongxiao Wang, Xiaogang Qiu Jun 2020

Research And Implementation On Source Term Estimation Methods Of Pollution In Chemical Parks, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Rongxiao Wang, Xiaogang Qiu

Journal of System Simulation

Abstract: Studying the source term estimation methods of pollution in chemical clusters is effective to avoid accidents, since biochemical disasters have brought great loss to human beings. Safety monitoring of chemical industry parks was modeled via unmanned aerial vehicle (UAV) monitoring system, inverse problem model, ridge regression model, and particle swarm optimization algorithm. Based on that, a practical case was given to analyze results of experiment. Research findings are helpful for risk assessments and emergency management.

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Study Of Dynamic Economic Load Dispatch Using Particle Swarm Optimization With Multi-Information Characteristics, Huang Song, Wang Yan, Zhicheng Ji Jun 2020

Study Of Dynamic Economic Load Dispatch Using Particle Swarm Optimization With Multi-Information Characteristics, Huang Song, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: According to the characteristics of power system, an model of dynamic economic load dispatch based on multiple fuel resources and 24-hour forecasting load demand was established, and a particle swarm optimizer using multi-information characteristics of all personal-best information was proposed to solve it. In the algorithm, centroid position and median position were defined, and then the personal-best position, centroid position and median position was developed to modify the velocity update formula. The algorithm could reduce the premature phenomenon for solving complex optimization problems, and it could make effectively solve dynamic economic load dispatch. The simulation was conducted to optimize …

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Non-Singular Terminal Sliding Mode Control For Bank-To-Turn Missile Based On Active Disturbance Rejection Decoupling Controller, Ma Fei, Yunjie Wu, Mingzhi Cheng Jun 2020

Non-Singular Terminal Sliding Mode Control For Bank-To-Turn Missile Based On Active Disturbance Rejection Decoupling Controller, Ma Fei, Yunjie Wu, Mingzhi Cheng

Journal of System Simulation

Abstract: An overload tracking model was established, based on the traditional model of BTT (Bank-to-Turn) missile, and an ADRDC (active disturbance rejection decoupling controller) was designed because of the strong coupling problem in this model. For the coupled channel, the decoupling was performed by the ADRDC, and then the NTSMC (non-singular terminal sliding mode controller) was added. For the non-coupled channel, only the NTSMC was designed. The experimental results show that the new control strategy can combine the strong robustness of ADRDC with the finite time convergence ability of NTSMC. Besides, it shows good dynamic performances and steady-state …

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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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Agent Modeling Of Web Users Orientating Simulation Of Internet Public Opinion, Chuan Ai, Bin Chen, Liu Liang, Xiaogang Qiu Jun 2020

Agent Modeling Of Web Users Orientating Simulation Of Internet Public Opinion, Chuan Ai, Bin Chen, Liu Liang, Xiaogang Qiu

Journal of System Simulation

Abstract: People are individuals with independent behavior in society, and have important influence on the occurrence and development of public opinion emergencies. At the same time, the group composed of individuals is the disaster-bearing body of public opinion events. Therefore, the use of simulation modeling means to explore the occurrence and development of public opinion Mechanism, for the public opinion emergency response measures to provide decision support, the individual behavior of the modeling simulation is particularly important. Based on the analysis of the psychological behavior process of individual information processing, a complete mechanism model was put forward which could reflect …

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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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