Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;
Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm, Jiya Xu, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: In order to recognize rolling bearing's fault types accurately according to the optimal characteristics of fault vibration signal of rolling bearing, a rolling bearing fault diagnosis method was proposed based on orthogonal matching pursuit algorithm and the optimized wavelet kernel extreme learning machine method. The OMP algorithm was used to de-noising the vibration signal of the bearing. The wavelet packet decomposition of the signal after de-noising was used to obtain the frequency band energy, and the fault characteristics were extracted. By using an improved whale optimization algorithm based on von-neumann, the penalty factor and kernel parameter of wavelet kernel …
Research Of Air Mission Recognition Method Based On Deep Learning,
2020
Department of Information Warfare and Command Training National Defense University, Beijing 100091, China;
Research Of Air Mission Recognition Method Based On Deep Learning, Qingkai Yao, Shaojun Liu, Xiaoyuan He, Ou Wei
Journal of System Simulation
Abstract: In the large-scale simulation of war game, the air mission is the focus of the commander's attention. The rapid, accurate and automatic recognition of air missions is the prerequisite and basis for intelligent decision making. The rapid development of deep learning technology provided a practical and feasible solution for the extraction of complex battlefield posture features, and provided technical support for studying air mission recognition. The research progress of the traditional mission recognition research method and the mission recognition method based on the deep learning was summarized. The three methods of deep learning of Convolution Neural Network (CNN), Long-short …
Numerical Simulation Of Diffusion Regularity Of Co In Fire Smoldering Phase In Aircraft Cabin,
2020
Institute of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China;
Numerical Simulation Of Diffusion Regularity Of Co In Fire Smoldering Phase In Aircraft Cabin, Jiaquan Lin, Ruiting Wang, Pi Jun, Ma Min, Jianzhong Yang
Journal of System Simulation
Abstract: In order to study the impact of the cabin air conditioning supply velocity on CO diffusing in the fire smoldering phase and the effect of the transportation of CO to human body, a simulation model of A320 aircraft cabin was established, and velocity field and CO concentration field under the different air supply velocity were simulated based on the fluid dynamics control equations. The relationship between the air conditioning supply velocity and the value of CO concentration as well as the diffusion area was obtained by the analysis of the transportation of CO in different directions. The drainage efficiency …
Skeleton Extraction From Three-Dimensional Maize Based On Kinect,
2020
1. Beijing Research Center for Information Technology in Agriculture/ Beijing Key Lab of Digital Plant/ National Engineering Research Center for Information Technology in Agriculture/ Key Laboratory of Agri-information Ministry of Agriculture, P R China/ Beijing Agriculture Internet of Things Engineering Technology Research Center, Beijing 100097, China; ;2. Shanghai Ocean University Information College,Shanghai 201306, China; ;
Skeleton Extraction From Three-Dimensional Maize Based On Kinect, Zhili Fang, Weiliang Wen, Xinyu Guo, Jianwei Wu
Journal of System Simulation
Abstract: Aiming at acquiring three-dimensional skeleton of maize plant efficiently, an automatic three-dimensional maize plant skeleton extraction method based on Kinect data was proposed. Kinect data was transformed into point cloud data. Backgroundpoint cloud was deleted by threshold segmentation and the point cloud was stratified according to the height of the 3D model. Each layer was clustered by two circle iteration and the center points of each cluster could be obtained. The set of center points could be considered as the skeleton points of maize. The quadratic B-spline interpolation curve was used to obtain relatively accurate and smooth linear …
Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic,
2020
1. College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China; ;
Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic, Wang Hui, Daoyang Zhu, Ping Fan
Journal of System Simulation
Abstract: Because classical washout algorithm exists false cues and phase retardation, these problems cause the lack of motion proprioceptive fidelity in flight simulators. By combining human vestibular perception system and the theory of fuzzy logic control to regulate the feedback of its sensory error, the translational acceleration channel, the Tilt coordination channel and the angular velocity channel of classical wash out algorithm were compensated, respectively. Simulation and modeling was carried out by fuzzy logic washout algorithm, and simulation verification was conducted on a set of flight data within fuzzy logic washout algorithm. The simulation results show that the theory of …
Topology Control Algorithm Based On Link Available Time For Cognitive Radio Network,
2020
Computer Engineering, Dongguan Polytechnic, Dongguan 523808, China;
Topology Control Algorithm Based On Link Available Time For Cognitive Radio Network, Huaide Yang
Journal of System Simulation
Abstract: The topology changes frequently in cognitive wireless network as nodes' mobility, the main user interference, residual energy of nodes which cause link unavailable. A new topology control algorithm based on predict of link available time was proposed to resolve the problem. The algorithm forecasted link available time using probabilistic principles, and built a stable topology with longest available time links. Simulation results show that the new algorithm can take advantage of links with low mobility nodes, less interference caused by the primary user, and large remaining energy, simplify the network topology, effectively reduce the cost of the link topology …
Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm, Wang Xin, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: In order to address the common problems of lacking of phase and interturn short circuit fault, after analyzing the basic and corresponding fault model of permanent magnet synchronous motor(PMSM), an improved extreme learning machine (IELM) algorithm was proposed based on self-adaptive second-order particle swarm optimization (SaSECPSO). SaSECPSO employed adaptive inertia weight and cognitive coefficient with linear variation to improve the convergence rate and accuracy of second-order particle swarm optimization (SECPSO). In addition, the recognition rate of extreme learning machine (ELM) when solving the fault model of PMSM could be significantly improved by using SaSECPSO to simultaneously optimize input weights …
Disruption Management Simulation For Multi-Mode Resource-Constrained Project Scheduling Problem,
2020
Equipment Academy of PLA, Beijing 101416, China;
Disruption Management Simulation For Multi-Mode Resource-Constrained Project Scheduling Problem, Shengming Liu, Shuxing Feng
Journal of System Simulation
Abstract: As the disruption management simulation for multi-mode resource-constrained project scheduling problem received little concern, a pretty reasonable disruption management simulation process was designed. After analyzing the functional weakness of MS Project, disruption management simulation for multi-mode resource-constrained project scheduling problem was implemented by optimized computation of CPLEX Studio IDE. According to examples from Project Scheduling Problem Library, the cases of a single disruption in a single moment and multiple disruptions in multiple moments were simulated as well as analyzed. The results show that the resource conflicts play an important role on time limit of whole project and simulation process …
Optimization On Search Submarine Parameters Of Dipping Sonar Using Orthogonal Design Method,
2020
1. Naval Aeronautical and Astronautical University, Yantai 264001, China; ;
Optimization On Search Submarine Parameters Of Dipping Sonar Using Orthogonal Design Method, Musheng Luo, Zongjie Wang, Wencai Ge
Journal of System Simulation
Abstract: To solve the limitation of multi-parameter analysis using one by one optimization method, search submarine parameters optimization of antisubmarine helicopter using dipping sonar was studied. After analyzing the submarine-search process of dipping sonar, search probability and average time of search cost were made as the indexes. The seven primary factors which influenced submarine-search efficiency were analyzed and corresponding factorial levels were selected. Based on orthogonal design method, the orthogonal test schemes of L18(61×36) were built, which could simulate seven parameters when their value changed simultaneously. Monte Carlo simulation model was built and all …
Modeling And Control Method Of Photovoltaic Micro-Inverter,
2020
1. State key laboratory of Alternate Electrical Power System with Renewable Energy Sources, Baoding 071003, China; ;
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 …
Uav-Mimo Channel Characteristic Analysis Based On Gbsbcs Model,
2020
Department of UAV Engineering, Ordnance Engineering College, Shijiazhuang 050003, China;
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 …
Magnetic Levitation System Simulating And Its Chaos Research,
2020
College of Electrical & Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China;
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 …
Research And Simulation On Control Algorithm For Multi-Objective Optimization Of Urban Rail Train,
2020
1. School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; ;2. Mechatronics T & R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China; ;3. Engineering Technology Center for Informatization of Logistics & Transport Equipment, Lanzhou 730070, China;
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 …
Filtering Based Maximum Likelihood Stochastic Gradient Prediction On Wind Power Curtailment,
2020
Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),College of the Internet of Things, Jiangnan University, Wuxi 214122, China;
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 …
Improved Harmony Search Algorithm In Application Of Vulcanization Workshop Scheduling,
2020
Engineering Research Center of IoT Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
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 …
Research On Compensation Algorithms For Pneumatic Distortion Of Pneumatic Tube,
2020
1. Department of Flight Vehicle Control, Aviation University of Air Force, Changchun 130022, China; ;
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 …
Research On Weapon System Design For Risk Management Based On Object-Process Methodology,
2020
National University of Defense Technology, Changsha 410073, China;
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 …
Intelligent Acp Based Experimental Approach,
2020
1. College of Information System and Management, National University of Defense Technology, Changsha 410073, China;;
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 …
Modeling And Simulation Of Superheated Steam Temperature Based On Multi-Objective Genetic Algorithm,
2020
1. State Key Laboratory of Thermal Power System, Tsinghua University, Beijing 100084, China;;
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 …
Threat Assessment Of Aircraft Carrier Formation Based On Hierarchical Bayesian Network,
2020
1. Graduate School of NDU, Beijing 100091, China;;
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 …
