Fault Identification Of High-Speed Train Bogie Based On Siamese Convolutional Neural Network,
2019
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;
Fault Identification Of High-Speed Train Bogie Based On Siamese Convolutional Neural Network, Yunpu Wu, Weidong Jin, Junxiao Ren
Journal of System Simulation
Abstract: The performance degradation and failure of high-speed train bogie components will threaten the operation security of train. This paper proposes a fault type identification method based on siamese convolutional neural network to address the scarcity of data and the high-dimension of monitoring signals. Deep residual network with one-dimension convolution layers is employed for features extraction and fusion of vibration signals from multiple sensors. The siamese structure is employed to obtain the similarities between samples. Fault types are identified by ranking similarities in the support set. The experimental results show that the proposed method can identify the fault types with …
Size Optimization Method Of 6r Manipulator Based On Global Maneuverability,
2019
1. School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China; ;
Size Optimization Method Of 6r Manipulator Based On Global Maneuverability, Xianhua Li, Xuesong Shi, Lü Lei, Leigang Zhang, Song Tao
Journal of System Simulation
Abstract: Aiming at the six-DOF manipulator of service robot, the structure size parameters are optimized and analyzed. The global manipulability index of the manipulator workspace is defined, the coordinate system of the position and attitude is established, and the reachability of the position and attitude is calculated with the inverse solution of the manipulator, and the global manipulability index of the manipulator is proposed. Taking the maximum value of this index as the optimization target, the size parameters of the connecting rod of the manipulator are optimized by genetic algorithm, the size of the optimized connecting rod and the global …
The Grey-Box Based Modeling Approach Research Integrating Fusion Mechanism And Data,
2019
1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;
The Grey-Box Based Modeling Approach Research Integrating Fusion Mechanism And Data, Bin Chen, Xiaodong Wang, Rongxiao Wang, Xiaogang Qiu, Zhengqiu Zhu, Ma Liang
Journal of System Simulation
Abstract: With the deep understanding of world, modeling and simulation have been used to solve the problems of complex systems. The simulation models are used to model the engineering systems which follow newton laws. The modeling approach is called white-box modeling, while the black-box modeling is used to model the systems of which the internal structure and characteristics are not clear. The black-box modeling is based on statistics and data modeling. This paper discusses the deficiencies of the white-box and black-box modeling approaches first. The Grey-box based modeling approach integrating both fusion mechanism and data model is proposed. In …
Quality Control Method Based On Quantum Genetic Clustering Algorithm,
2019
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;
Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan
Journal of System Simulation
Abstract: This paper proposes a method of quality control chart recognition based on Quantum Genetic Clustering Algorithm. This method is divided into two parts: quality feature extraction and pattern classification. By combining Quantum Genetic Algorithm(QGA) and K-means algorithm, a quantum genetic clustering algorithm based on a mechanism for determining the rotation direction of a quantum rotary gate is proposed, and its performance is verified by experimental simulation. Based on the clustering analysis of quality data using the quantum genetic algorithm proposed in this paper, a control chart feature description method is proposed. With this feature as input, Support Vector …
Research On Extraction Method Of Time-Frequency Feature Of Fall Detection,
2019
1. Beijing Information Science and Technology University, Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China; ;2. Ministry of Education Key Laboratory of Modern Measurement and Control, Beijing 100101, China; ;
Research On Extraction Method Of Time-Frequency Feature Of Fall Detection, Tianrun Wang, Su Zhong, Liu Ning, Li Chao, Guodong Fu
Journal of System Simulation
Abstract: Aiming at the problem of features extract method for fall detection, the method using time-frequency analyze and features extraction by Fractional Fourier Transform (FRFT) has been proposed. The inertial data is measured by 15 IMU wearing on body, the features extracted after FRFT with multiple order are analyzed and compared. The difference of feature distribution of eight fall actions has been compared, and the difference of feature distribution between fall action and 4 normal actions has been compared. The feasibility of using FRFT in fall detection is proved.
Intelligent Collaborative Networking Method For Workshop Emergencies,
2019
Jiangnan University, Engineering Research Center of the Ministry of Education of Internet of Things Technology Application, Wuxi 214122, China;
Intelligent Collaborative Networking Method For Workshop Emergencies, Kong Tao, Wang Yan
Journal of System Simulation
Abstract: Due to the complex environment of intelligent manufacturing workshop, abnormal emergencies will cause huge security threats and economic losses to the workshop. It is difficult to transmit the abnormal event data continuously, quickly and completely in the workshop production site, and the fluctuation of abnormal event data is great with high requirements on the integrity and real-time of data transmission. In this paper, a multi-agent cooperative networking method for workshop emergencies is proposed. Mobile robots are introduced as intermediary Sink nodes for data transmission between sensor networks and the Internet. In case of emergencies, the intelligent node and cluster …
Modeling Indoor Environment With Kinect,
2019
1. Information Engineering University, Zhengzhou 450001, China; ;
Modeling Indoor Environment With Kinect, Lianrui Xu, Jinming Zhang
Journal of System Simulation
Abstract: To solve the problems of point cloud noise, depth data mismatching and local details prone to hollowing in the process of Kinect camera reconstruction of indoor three-dimensional environment. By improving the assignment method of depth image pixel and the threshold relationship of time frame matching, this paper denoises the point cloud with optimizing mean filtering and time frame weighting methods. Combined with recent iteration algorithm (Iterative Closest Point, ICP) to complete the adjacent point cloud splicing so that it can achieve completely indoor model to build 3D environment. To test the validity of the algorithm, the experiment of …
On Operational Experiment Systematization,
2019
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;
On Operational Experiment Systematization, Xiaogang Qiu, Duan Hong, Bin Chen
Journal of System Simulation
Abstract: With the complexity of military simulation object, the way of operational experiment is changing. Based on the discussion of operational experiment requirements, we first present the concepts, objectives, requirements, ideas and related technologies of operational experiment systematization, discuss the requirements, objectives and tasks of the construction of the operational experiment system and point out that simulation engineering in military field is the basis of efficient systematic operational experiment. After that, we describe the concept of domain simulation briefly, and analyze the work needed to be carried out in military simulation engineering from the perspective of sharing the results of …
Evaluation Method Of Node Importance In Equipment Support Network Based On Polymeric Degree,
2019
1. Academy of Army Armored Force, Beijing 100072, China; ;
Evaluation Method Of Node Importance In Equipment Support Network Based On Polymeric Degree, Zhang Qiang, Junhai Cao, Tailiang Song, Yan Xu
Journal of System Simulation
Abstract: Aiming at the problem that the heterogeneity of nodes in equipment support network and the different support relationships leading to the inaccuracy of judging the importance of nodes based on single attributes such as degree value, this paper puts forward the concept of polymeric degree, and mines the importance information of nodes from the aspects of polymeric degree, betweenness centrality, closeness centrality and Eigenvector centrality. Because of the shortcoming that the Euclidean distance can not reflect the vertical distance in the traditional method of Order Preference by Similarity to an Ideal Solution (TOPSIS), the TOPSIS method is improved. The …
Comparative Study On Resistance Modeling Method In Yacht Simulator,
2019
Key Laboratory of Marine Simulation & Control for Ministry of Transportation, Dalian 116000, China;
Comparative Study On Resistance Modeling Method In Yacht Simulator, Xiaochen Li, Yin Yong
Journal of System Simulation
Abstract: In order to solve the problem that the existing resistance modeling method of yacht has poor universality and the calculation accuracy is not high, approximate resistance modeling methods of high speed craft are analyzed and summarized. The actual yacht model is simplified into a prismatic hull. “ЦАГИ” method and SIT method are reproduced and the simulation results are compared with model test. The application of resistance approximate modeling in the yacht simulator is discussed. The results reveal that the resistance is in good agreement with the experimental value, and the SIT method with simplified hull form is more …
Evaluation Method Of Simulation Results Based On Principal Component Analysis,
2019
College of Systems Engineering, National University of Defense Technology, Changsha 410072, China;
Evaluation Method Of Simulation Results Based On Principal Component Analysis, Rusheng Ju, Zimin Cai, Yang Mei, Wang Song
Journal of System Simulation
Abstract: A large amount of result data are produced by complex system simulation. These data types are diverse and complex. Usually they cannot be used directly. The inner pattern can only be found by effective evaluation. Based on the characteristics of complex combat simulation results, this paper utilizes the Principal Component Analysis method to reduce the dimension of data analysis and explore the relationship between the system input data and output data. The key influence factors of the measure of force effectiveness is found. The application verification is done by typical examples. The selected principle factors are explored in …
Noise Clipping Algorithm Based On Relative Contribution Rate,
2019
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;
Noise Clipping Algorithm Based On Relative Contribution Rate, Shuoyu Liu, Yueming Dai
Journal of System Simulation
Abstract: This paper presents a class noise cutting algorithm (Class noise cutting, CNC) based on relative contribution rate. The algorithm calculates the relative contribution rate of features to the theme. The most valuable feature set is selected by using features distinguish rating. The corresponding candidate categories for each feature are selected, to reduece the candidate category set, improves the classification accuracy, and speed up the response speed of the classifier. Compared with another ECN noise cutting algorithm (Eliminating the class whose), CNC-has higher accuracy and because of its simpler feature dimension dictionary and better candidate category set, the response …
Study On Data-Driven Orca Preference Velocity,
2019
1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;
Study On Data-Driven Orca Preference Velocity, Wang Jie, Bin Chen, Yuan Peng, Ma Liang, Xiaogang Qiu
Journal of System Simulation
Abstract: Crowd evacuation is an important aspect of emergency management. Because of economic and safety reasons, emergency evacuation drill cannot be carried out repeatedly, however modeling and simulation has the obvious advantages of low cost, high repeatability, etc. Optimal Reciprocal Collision Avoidance (ORCA) is a velocity-based Collision Avoidance method, which has fine granularity and high computational efficiency, and is widely used in robot collision avoidance and other domains. In this paper, ORCA is introduced into crowd evacuation simulation, and the optimal parameters of ORCA under different kinds of speed strategies are identified by data-driven method. The optimal strategy …
System Dynamics Modeling For Simulation Of Water Supply And Demand Relationship In Beijing,
2019
1. School of Civil Engineering, Tsinghua University, Beijing 100084, China; ;
System Dynamics Modeling For Simulation Of Water Supply And Demand Relationship In Beijing, Longxi Luo, Jianping Wu, Chen Yun, Zhe Xu
Journal of System Simulation
Abstract: Beijing is a metropolis and the center of politics and education of China. However, located in the region with a low level of rainfall, Beijing has been struggling with supplying water resources to meet its growing demand. The past and future trend of the water supply and demand balance in Beijing is studied. Historical data is collected and compiled for learning its past behaviors. The system dynamics (SD) modeling can simulate the complicated and integrated relationships in water supply and demand system. An SD model is then constructed based on compiled historical data. The SD model is validated by …
Intelligent Sandbox For Geography Teaching,
2019
1. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; ;
Intelligent Sandbox For Geography Teaching, Xianli Ji, Yulong Ding, Shuanghua Yang
Journal of System Simulation
Abstract: An intelligent sandbox geography teaching demonstration system combining the augmented reality technology and related geographic knowledge is designed and implemented on the Unity3D platform. The system has functions of deep data processing, projection matrix transformation, terrain rendering, fluid simulation, physical characteristics, adding entities along the slope, changes in sunshine angle, gesture interaction, etc., which can render virtual terrain and scene in real time according to the change of the sandbox. Students can interact with the system in projection correction, adding entities, seasonal switching, weather effects, disaster simulation and other scenarios and learn knowledge points such as contour lines, …
Spatiotemporal Mode Analysis Of Urban Dockless Shared Bikes Based On Point Of Interests Clustering,
2019
1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;
Spatiotemporal Mode Analysis Of Urban Dockless Shared Bikes Based On Point Of Interests Clustering, Zhang Fang, Bin Chen, Yanghua Tang, Dong Jian, Chuan Ai, Xiaogang Qiu
Journal of System Simulation
Abstract: The city’s dockless shared bikes have developed rapidly, and its features of convenience, economy and efficiency have been widely welcomed. The digital footprint they generate reveals the movement of people in time and space within the city, which makes it possible to quantify the activities of people in the city using shared bikes. In this paper, based on the collected shared bikes data of Beijing, a clustering method based on the point of interests is proposed to divide the urban space, so as to construct a mobile network of urban shared bikes, and analysis the spatiotemporal mode of bike …
Cooperative Vehicle Positioning Method Based On V2x Enhanced Gps,
2019
1. School of Information & Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China; ;
Cooperative Vehicle Positioning Method Based On V2x Enhanced Gps, Jiuling Wang, Shaobo Wu, Yuanli Zhang, Jiahui Qiu, Liu Qi
Journal of System Simulation
Abstract: In order to further improve the vehicle positioning accuracy and adaptability to the environment, V2X (vehicle to everything) communication network is used for auxiliary positioning to enhance the GPS/DR integrated positioning. Firstly, the three subsystems of GPS, DR and V2X auxiliary positioning independently perform filtering estimation, and then a better estimation from the GPS and V2X auxiliary positioning is selected to conduct global optimal fusion with DR, and finally the three sub-filters are reset with the feedback of the optimal result. Simulation results show that when the GPS signal is seriously affected by multipath interference, the positioning performance of …
Differential Evolution Quantum Particle Swarm Optimization For Parameter Estimation Of Fractional-Order Chaotic System,
2019
1. Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;; ;
Differential Evolution Quantum Particle Swarm Optimization For Parameter Estimation Of Fractional-Order Chaotic System, Dong Ze, Ma Ning
Journal of System Simulation
Abstract: In order to accurately estimate the unknown parameters for fractional order chaotic systems, a quantum particle swarm optimization algorithm based on differential quantum properties is proposed. On the basis of quantum behaved particle swarm optimization, variation, crossover and selection operation are utilized by particles, which can better keep the diversity of the particles in the population, avoiding the local optimum in the later phase of the iteration. The multi-neighborhood local search strategy is used for particles’ local search to improve search precision. Standard test functions are used to test the algorithm, and the test results show that the …
Modeling Of Capability Relations Oriented To The Evolution Of Operational System-Of-Systems,
2019
1. College of Joint Operation, National Defense University, Beijing 100091, China;;2. 95948 Troops of PLA, Lanzhou 732750, China;;
Modeling Of Capability Relations Oriented To The Evolution Of Operational System-Of-Systems, Xia Lu, Mingzhi Zhang, Jingyu Yang, Changliang Xiao
Journal of System Simulation
Abstract: Based on the analysis of the capability of the operational system-of-systems (OSoS) and its relationship, the capability relationship description function is constructed, and the spreading effect and emerging effect are explained. The super-network theory is used to establish the ‘entity-capability’ network model and its characteristic parameters. For measuring the emerging effect of the capability of OSoS, the capability contribution domain model and the capability emergence domain model are constructed. Taking the air defense system-of-systems evolution analysis as an example, the capability relationship model of OSoS is verified to provide a qualitative and quantitative method for constructing the evolution set …
Resilience Analysis And Evaluation Of Combat System Of Systems Architecture Based On Dynamic Super Network,
2019
College of Joint Operation, National Defense University, Beijing 100091, China;
Resilience Analysis And Evaluation Of Combat System Of Systems Architecture Based On Dynamic Super Network, Rong Ming, Xiaofeng Hu, Jingyu Yang
Journal of System Simulation
Abstract: The resilience of combat architecture is a kind of adaptability and recovery ability presented by the architecture when the combat system of systems (CSoS) faces destruction, attack and failure. It has become an important index to measure the capability of CSoS. The dynamic super network model is established by mapping the experimental data of CSoS resilience simulation. The resilience index of CSoS architecture is proposed and the resilience measure CSoSIR algorithm is designed. Based on the resilience analysis framework of competitive game, the CSoS architecture resilience is analyzed and evaluated.
