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Soft-Sensor Method Of Low Pressure Cylinder Exhaust Flow Of Heating Units, Tian Liang, Wang Tong 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, Xiaoping Zhang, Xiaoqiu Li, Wu Zhi 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, Zhou Fei, Wennan Liu 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, Lifang He, Yingying Cui, Guoquan Li, Jinzhao Lin 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, Li Ke, Wang Yan, Zhicheng Ji 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, Chaolong Zhang, Yigang He, Lifen Yuan 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 …


Numerical Simulation On Air Quality In The Boeing 737 Aircraft Cabin, Xiuyan Wang, Gewen Zhang, Yanmin Liu, Zongshuai Li, Jiaquan Lin 2019 Civil Aviation University of China, College of Electronic Information and Automation,Tianjin 300300, China;

Numerical Simulation On Air Quality In The Boeing 737 Aircraft Cabin, Xiuyan Wang, Gewen Zhang, Yanmin Liu, Zongshuai Li, Jiaquan Lin

Journal of System Simulation

Abstract: The air quality in the cabin will directly affect the persons’ efficiency when an aircraft berths. In order to analyze the effect of velocity of air outlet of bridge-load air conditioning on the air quality of aircraft cabin, the first class cabin of Boeing 737 aircraft is used as the research object, based on the CFD method and numerical heat transfer theory, the air quality in aircraft cabin is simulated numerically. Based on PMV and CO2 relative concentration, a new air quality index (IAO) is put forward to evaluate the air quality of aircraft cabin, …


Gas-Liquid Flow Characteristics Study On The Amino Acid Fermentation Tank, Xiaodong Hu, Qinglei Liu, Fuyu Liu, Dexin Zhang 2019 Shandong University Of Science and Technology, Qingdao 266590, China;

Gas-Liquid Flow Characteristics Study On The Amino Acid Fermentation Tank, Xiaodong Hu, Qinglei Liu, Fuyu Liu, Dexin Zhang

Journal of System Simulation

Abstract: Based on the Euler - Euler two-fluid model and population balance model, using MRF (multiple reference frame) method, the flow field of the rushton turbine stirred reactor and airfoil axial flow stirred reactor in fermentation tank is analyzed by Fluent. The information of the oxygen content and the size of bubble in the tank is obtained. The simulation results show that the axial flow produced by the airfoil axial flow stirred reactor and the radial flow produced by the rushton turbine stirred reactor interact with each other. The oxygen distribution is relatively uniform. There is an oxygen concentration near …


Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang 2019 College of Information Science and Engineering, East China University, Shanghai 200237, China;

Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang

Journal of System Simulation

Abstract: Channel selection is used to locate the mental task related brain area in the brain computer interface systems. In the previous studies, the channels were selected based on the data recoded from the multi-mental tasks. However, the different mental tasks are corresponding to the different brain area. If one same brain area is selected for different mental tasks, the features of one mental task would be noises of another mental task. In this paper, a new method was presented to solve this problem based on the data of motor imagery tasks. The SVM-RFE method was used to select the …


Evaluation Of Contribution Of Army Combined Arms In All-Domains Weapon System-Of-Systems Based On Critical Capability, Xiaochao Qian, Tang Wei, Chen Wei, Yingbo Lu, Zhifeng Lu 2019 1. Shanghai Electro-Mechanical Engineering Institute, Shanghai, 201109, China; ;

Evaluation Of Contribution Of Army Combined Arms In All-Domains Weapon System-Of-Systems Based On Critical Capability, Xiaochao Qian, Tang Wei, Chen Wei, Yingbo Lu, Zhifeng Lu

Journal of System Simulation

Abstract: To support equipment development demonstration of the army combined arms in all-domains weapon system-of-systems, an evaluate method of weapon system-of-systems contribution based on critical capability is studied. The critical capability of the army combined arms in all-domains weapon system-of-systems is analyzed based on the operational mission. A specified scenario of the army combined arms in all-domains weapon system-of-systems is given and the simulation system is constructed. The evaluation index systems and computation model of efficiency of the army combined arms in all-domains weapon system-of-systems are established under the specified scenario. The evaluation result can support the development demonstration …


Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui 2019 1.Tianjin University of Technology, Tianjin 300384, China; ;2.Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; ;

Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui

Journal of System Simulation

Abstract: In order to solve the problem of insufficient information transmission and interaction between organisms and electromechanical devices in the integrated system of vital electricity, Emotiv EPOC and mechanical arm of eeg acquisition equipment were used to build a writing system based on brain-computer interface technology with faster information transmission rate The system modeling and simulation were conducted. In the system modeling, the frequency identification of steady-state visual evoked potential was carried out by a combination of bandpass filtering and Canonical Correlation Analysis algorithm, and the accuracy rate of the four classifications was as high as 91.6%. In the online …


Think Of The Dynamic Data Driven Application Systems In Simulation: From Physics Domain To Social Domain, Bin Chen, Yiping Wang, Xiaogang Qiu, Liu Liang, Ma Liang 2019 1.College of System Engineering, National University of Defense Technology, Changsha 410073, China; ;

Think Of The Dynamic Data Driven Application Systems In Simulation: From Physics Domain To Social Domain, Bin Chen, Yiping Wang, Xiaogang Qiu, Liu Liang, Ma Liang

Journal of System Simulation

Abstract: Dynamic data driven application systems (DDDAS) is an important part in the intelligent ACP based experimental approach. With the development of information technologies such as big data, intelligent learning, game play theory, the modes of application of DDDAS in simulation cases have changed a lot. In order to meet the requirements of the researches in both physics domain and social domain, the applications of DDDAS in classical cases are summarized. The data assimilation in the two physics cases is illustrated in detail. Then the cases in social domain which is focused by safety science are also discussed. The …


Uncertainty Quantification Method For Aircraft Using Pce Model, Liu Bo, Xiaobing Shang, Chao Tao, Ping Ma, Yang Ming 2019 1.Control and Simulation Center, Harbin Institute of Technology, Heilongjiang Province, Harbin 150001, China; ;2.No.705 institute, China Shipbuilding Industry Corporation, Shaanxi Province, Xi’an 710077, China;;

Uncertainty Quantification Method For Aircraft Using Pce Model, Liu Bo, Xiaobing Shang, Chao Tao, Ping Ma, Yang Ming

Journal of System Simulation

Abstract: In order to study uncertainty quantification of aircraft, which has the characteristics of many uncertainty parameters, complex model structures, and so on, an uncertainty quantification method based on polynomial chaos expansion is proposed. A method based on multi-dimensional polynomial chaos expansion (PCE) is used as an agent model to approximate aircraft so as to reduce the amount of calculation of transmitting by the vehicle dynamic system from uncertainty parameters. The Sobol index of the global sensitivity is calculated based on the approximate agent model. An example is presented to demonstrate the effectiveness of the polynomial chaos expansion method …


Computational Model And Analysis Of Parachute’S Opening Load In Rocket Sled Experiments, Conglei Wang 2019 AVIC Hongguang Airborne Equipment Company, Ltd. , Nanjing 210022, China;

Computational Model And Analysis Of Parachute’S Opening Load In Rocket Sled Experiments, Conglei Wang

Journal of System Simulation

Abstract: The multi-bodies method with mass-spring damper model is used to analyze the parachute opening load in the rocket sled experiments. Results show that the computational model can be used to predict the opening load variation in rocket sled experiments. The computed maximum value and moment of opening load agree well with the experiment data. At the same time, the influences of fore-body mass and deploy velocity on the inflation load are analyzed. The analysis shows that in the range of 200~450 km/h, the peak value of the inflation load increases with the increase of the deploy velocity, and …


Facial Feature Points Tracking System And Simulation Analysis, MingZe Yuan, Shihong Xia 2019 1.The Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China; ;2.University of Chinese Academy of Sciences, Beijing 100049, China;

Facial Feature Points Tracking System And Simulation Analysis, Mingze Yuan, Shihong Xia

Journal of System Simulation

Abstract: Obtaining facial feature points from images are one of the fundamental research issues in computer vision and graphics. At present, most of face alignment methods obtain the position information of face feature points from a single static picture, i.e., a single still picture detection. Although these methods have obtained relatively accurate detection results, in the detection of feature points of continuous picture sequences, the feature point jitter may occur due to environmental changes such as illumination and background. Therefore, an embedded tracking system for a human face feature points is constructed using a tracking-based method for acquiring facial feature …


Cloud Job Scheduling Model Based On Improved Plant Growth Algorithm, Li Qiang, Xiaofeng Liu 2019 1.Department of Information, College of Finance & Economics, Tai yuan University of Technology, Taiyuan 030024, China; ;2.College of Information, Shanxi Finance &Taxation College, Taiyuan 030024, China; ;

Cloud Job Scheduling Model Based On Improved Plant Growth Algorithm, Li Qiang, Xiaofeng Liu

Journal of System Simulation

Abstract: The performance of cloud job scheduling algorithm has a great importance to the whole cloud system. The key factors that affect cloud operation scheduling are found out, and a resource constraint model is established. The existing simulation plant growth algorithm is improved based on the Logistic model of plant growth law, so that the plant growth way was made to change according to the energy power. The comparison of four different plant models was carried out and their different features were analyzed. Compared with 6 typical cloud job scheduling algorithms, it is concluded that the improved simulation plant growth …


Application Tests Of Mudis In Surface Ship Operation Training Simulation System, Xu Jing, Zhengxiang Xiong, Yongsheng Zhang, Xu Ming 2019 Dalian Naval Academy, Dalian 116018, China;

Application Tests Of Mudis In Surface Ship Operation Training Simulation System, Xu Jing, Zhengxiang Xiong, Yongsheng Zhang, Xu Ming

Journal of System Simulation

Abstract: To meet the network communication demands of surface ship operation training simulation system, a multi-layer distributed service data interaction RTI was developed, which supported several system frameworks; and the main functions of HLA and DDS standards were realized. The distributed service with multiple key points was adopted; the data with several frequency response mechanisms and intelligent communication methods were provided; and the active analysis of data communication behavior was obtained. It had error-tolerance and adaptive load balancing capabilities. The MuDIS tests on data control, real-time data communication, time advance request delay, error-tolerance performance and so on were carried out …


Simulation-Based Acquisition Platform For Complex Equipment, Huiyang Qu, Yaoqin Zhu, Ruiying Pu, Junhua Zhou, Guoqiang Shi 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; ;3. Science and Technology on Space System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China; ;

Simulation-Based Acquisition Platform For Complex Equipment, Huiyang Qu, Yaoqin Zhu, Ruiying Pu, Junhua Zhou, Guoqiang Shi

Journal of System Simulation

Abstract: Based on the architecture of the simulation-based acquisition platform and the integrated modeling technology, the modeling and simulation technology based on virtual prototype is described. The modeling and simulation techniques for reliability, maintainability and supportability, and for the acquisition project management across the life-cycle are elaborated. Based on an aerospace complex equipment acquisition project, the application of the simulation-based acquisition platform in the aerospace equipment demonstration, development and support phase is introduced.


Low-Rank Sparse Joint Representation For Moving Object Detection In Video, Yang Lei, Pang Fang, Huosheng Hu 2019 1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China; ;

Low-Rank Sparse Joint Representation For Moving Object Detection In Video, Yang Lei, Pang Fang, Huosheng Hu

Journal of System Simulation

Abstract: For the video sequences with fixed cameras, it is a reasonable assumption that the fixed background has low-rank characteristic, and the dynamic foreground has sparse characteristic. A new motion detection method based on low-rank and sparse joint representation is proposed in this paper. The ideas of the proposed method are described as follows: The noise of video sequence is removed by image preprocessing. The optical flow between continuous video sequences is estimated, which is used to generate a binary motion mask as a movement weight matrix. An optimization model with low-rank background and sparse foreground is established based …


Mining And Validation Of Attacking Behavior In The Robocup 2d Simulation, Chen Bing, Zhang Heng, Zekai Cheng, Dong Peng, Lin Chao 2019 1.Information Engineering University, ZhengZhou 450001, China; ;

Mining And Validation Of Attacking Behavior In The Robocup 2d Simulation, Chen Bing, Zhang Heng, Zekai Cheng, Dong Peng, Lin Chao

Journal of System Simulation

Abstract: Robocup is an international academic competition which focuses on artificial intelligence and robotics. The 2D simulation is one of the earliest and most influential projects in Robocup. Attacking is the core behaviour of the simulated football game, as well as the attack recognition is considered as an important part in team-confrontations. This paper selects some active and contribution index of attacking, extracts lots of attacking behaviour data of the key agents, proposes two kinds of attacking patterns of 2D simulation, as ‘separate attack’ and ‘cooperative attack’, according to the human-player actions. The following simulation tests give the accuracy of …


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