Study On New Sampling Plans And Optimal Integration With Proactive Maintenance In Production Systems,
2020
University of Arkansas, Fayetteville
Study On New Sampling Plans And Optimal Integration With Proactive Maintenance In Production Systems, Sinan Obaidat
Graduate Theses and Dissertations
Sampling plans are statistical process control (SPC) tools used mainly in production processes. They are employed to control processes by monitoring the quality of produced products and alerting for necessary adjustments or maintenance. Sampling is used when an undesirable change (shift) in a process is unobservable and needs time to discover. Basically, the shift occurs when an assignable cause affects the process. Wrong setups, defective raw materials, degraded components are examples of assignable causes. The assignable cause causes a variable (or attribute) quality characteristic to shift from the desired state to an undesired state.
The main concern of sampling is …
Models For Data Analysis In Accelerated Reliability Growth,
2020
University of Arkansas, Fayetteville
Models For Data Analysis In Accelerated Reliability Growth, Cesar Alexander Ruiz Torres
Graduate Theses and Dissertations
This work develops new methodologies for analyzing accelerated testing data in the context of a reliability growth program for a complex multi-component system. Each component has multiple failure modes and the growth program consists of multiple test-fix stages with corrective actions applied at the end of each stage. The first group of methods considers time-to-failure data and test covariates for predicting the final reliability of the system. The time-to-failure of each failure mode is assumed to follow a Weibull distribution with rate parameter proportional to an acceleration factor. Acceleration factors are specific to each failure mode and test covariates. We …
Towards A Cyber-Physical Manufacturing Cloud Through Operable Digital Twins And Virtual Production Lines,
2020
University of Arkansas, Fayetteville
Towards A Cyber-Physical Manufacturing Cloud Through Operable Digital Twins And Virtual Production Lines, Md Rakib Shahriar
Graduate Theses and Dissertations
In last decade, the paradigm of Cyber-Physical Systems (CPS) has integrated industrial manufacturing systems with Cloud Computing technologies for Cloud Manufacturing. Up to 2015, there were many CPS-based manufacturing systems that collected real-time machining data to perform remote monitoring, prognostics and health management, and predictive maintenance. However, these CPS-integrated and network ready machines were not directly connected to the elements of Cloud Manufacturing and required human-in-the-loop. Addressing this gap, we introduced a new paradigm of Cyber-Physical Manufacturing Cloud (CPMC) that bridges a gap between physical machines and virtual space in 2017. CPMC virtualizes machine tools in cloud through web services …
Simulation-Based An Exploratory Analysis Of Drone Air Strike On Saudi Oilfields,
2020
Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China;
Simulation-Based An Exploratory Analysis Of Drone Air Strike On Saudi Oilfields, Jiajun Zhang, Xiaochao Qian, Jinpeng Zhou, Xuanling Wang, Zhifeng Lu
Journal of System Simulation
Abstract: The incident of air strike in Sandi Arabia in September 2019 is taken as an example,A rapid analysis method for crisis events based on simulation is proposed. Combining the simulation with the exploratory analysis, the uncertainty of crisis events is comprehensively analyzed and dealt with. According to the public information of the incidents details from Sandi Arabia, Yemen, the combat situation of the air strike is replayed based on the wargaming. The rationality and authenticity of the details in the event statement is verified and can also provide reference to the development and combat research of the “Low, Small …
Multi-Tank Adaptive Scheduling Algorithm And Simulation For Ship Stability Realization,
2020
Wuhan University of Technology, Wuhan 430063, China;
Multi-Tank Adaptive Scheduling Algorithm And Simulation For Ship Stability Realization, Xiong Yong, Xuanzhuo Liang, Zhang Jia
Journal of System Simulation
Abstract: Aiming at the influence of the oil tank on the floating state and stability of the ship, the multi-tank adaptive dispatching control algorithm to maintain the stability of the ship is studied. The automatic floating state adjustment simulation system of the ship is realized by the WinCC (Windows Control Center) configuration software. For the system architecture, the Boolean logic table is used to construct the connection relationships of the oil tanks, pumps and pipelines, and the amount of oil exchange between the cabins is calculated according to the floating equation, and the balance of the floating state in the …
Simulation-Based Effectiveness Evaluation For System-Of-System Under Multi-Equipment Collaboration,
2020
1. Anshan Branch, Liaoning Police College, Anshan 114051, China;;
Simulation-Based Effectiveness Evaluation For System-Of-System Under Multi-Equipment Collaboration, Ma Ning, Shenglin Lin
Journal of System Simulation
Abstract: Complex coordination exists among the various equipment in the system-of-system (SoS) operational process. The influence relationship among the various indexes is ignored in the traditional effectiveness evaluation methods. Aiming at this, a new effectiveness evaluation approach for the SoS is proposed. Numerous evaluation data is analyzed, based on the association rules mining, to obtain the influence among the effectiveness indexes. The networked evaluation index system is constructed, and the effectiveness integration evaluation is realized based on the analytic network process. The feasibility and validity of the proposed method are verified by evaluating the effectiveness of an air defense SoS.
Identification Method For Fractional-Order Systems Based On Haar Wavelet Operational Matrix,
2020
1. School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China;;2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China;
Identification Method For Fractional-Order Systems Based On Haar Wavelet Operational Matrix, Yuanlu Li, Li Teng, Baoying Liu
Journal of System Simulation
Abstract: Studies have shown that the dynamical systems can be more accurately described by the fractional-order systems because its order can be any number. That’s why the fractional-order systems are being paid more and more attention. However, how to create a fractional-order system is still in the exploratory stage. Considering the nonlocal features of the fractional differentiation, a method for the fractional-order system identification is proposed by taking the Haar wavelet operational matrix. The proposed method can reduce the dimension of the operational matrix by abandoning the high frequency coefficients of the input and output signals so that the buffer …
Virtual-Point-Light Sampling Algorithm Based On Indirect Illumination Clustering Of Visible Scene Region,
2020
School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China;
Virtual-Point-Light Sampling Algorithm Based On Indirect Illumination Clustering Of Visible Scene Region, Chen Sheng, Chunyi Chen, Qiwei Xing, Chaozhi Yang
Journal of System Simulation
Abstract: Focusing on the accuracy of indirect illumination calculation, an improved view-sensitive virtual point light (VPL) sampling method is proposed. The visible shading points are clustered according to the positions and normal vectors. The product of the contribution of VPLs on the representative visible shading points and the number of VPLs belonging to the same class is calculated, and the sum of the products is treated as the estimation of the indirect illumination which constructs the cumulative distribution function (CDF). On the basis of the CDF, the VPLs of calculating the indirect illumination on every visible shading point are selected. …
Augmented Reality Interactive Media System For Ancient Buildings Based On Servomotor,
2020
School of Computer Science, North China University of Technology, Beijing 100144, China;
Augmented Reality Interactive Media System For Ancient Buildings Based On Servomotor, Xingquan Cai, Zhe Yang, He Xin, Chen Chao
Journal of System Simulation
Abstract: Augmented reality is usually limited to the screen devices, and is difficult to realize the stereoscopic dynamic interaction of multiplayer. A large screen interactive display method based on the servo motor is prsented. The serial communication program to control the scanning reciprocating mode of the servo is designed. By using the edge detection methods and deep normal texture processing, the line draft of the ancient buildings is rendered. By combining the hardware and presentation application modules, the user interaction capabilities and seasonal effects is added to the showcase application modules. The experimental results show that the interactive media system …
Adaptive Differential Crisscross Optimization Algorithm For Dynamic Economic Emission Dispatch Considering Wind Power,
2020
School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201,China;
Adaptive Differential Crisscross Optimization Algorithm For Dynamic Economic Emission Dispatch Considering Wind Power, Panpan Mei, Lianghong Wu, Hongqiang Zhang, Huiying Wang
Journal of System Simulation
Abstract: Because of the randomness and fluctuation of the wind power, the large scale wind power integration makes the economic emission dispatch of power systems more complicated. By fusing the advantages of the differential evolution algorithm with the parameter self-adaption and crisscross optimization, a hybrid intelligent optimization algorithm called ADE-CSO is proposed to solve the dynamic economic emission dispatch considering wind power integration. A constraint handling technology is introduced to satisfy the feasibility of the power balance and ramp limits. To demonstrate the effectiveness of the proposed algorithm, a typical test case of five generator bus system is conducted and …
Classification Of Chest X-Ray Disease Based On Convolutional Neural Network,
2020
Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China;
Classification Of Chest X-Ray Disease Based On Convolutional Neural Network, Huang Xin, Fang Yu, Mengdan Gu
Journal of System Simulation
Abstract: The artificial intelligence technology can effectively assist the chest X-ray diagnosis. On the basis of the analysis of Chinese reports of chest X-rays, a labeling method of the thoracic disease classification for the chest abnormal parts is proposed and a dataset of the thoracic disease classification labels is complied. The thoracic disease classification is evaluated through four kinds of convolutional neural networks, AlexNet, VGGNet, ResNet and DenseNet and through three kinds of training methods, direct training, ImageNet pre-training and Chest X-14 pre-training. The result shows that the more complicated convolutional neural network with the more parameters, the better performance …
Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior,
2020
1. China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;;2. Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan 430070, China;;3. School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior, Yinghua Song, Zhang Yu, Feizhou Huo, Lü Wei, Yaping Ma
Journal of System Simulation
Abstract: To study the avoidance behavior in the evacuation process, a cellular automaton model considering avoidance behavior is established. The model divides the evacuees into avoiders and transferees, and reflects the avoidance behavior by changing the selected probability of evacuees. The impact of the avoidance behavior on the efficiency and evacuation process in different personnel ratios and different initial positions is analyzed. The results show that the avoidance behavior can optimize the evacuation sequence, improve the evacuation efficiency and reduce the risk of evacuation process. The evacuation time is significantly reduced when the probability of avoidance exceeds the thread value, …
Crowd Evacuation Model Based On Improved Pso Algorithm,
2020
School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;
Crowd Evacuation Model Based On Improved Pso Algorithm, Changhua Li, Chenggong Bi, Zhijie Li
Journal of System Simulation
Abstract: Aiming at the poor local optimization ability and easy premature convergence of the particle swarm optimization (PSO) algorithm in evacuation simulation, a crowd evacuation model based on the improved PSO algorithm is proposed. On the basis of the original model, factors such as the forward driving force, exclusion driving force and panic degree of evacuees are introduced. According to the environmental factors and crowd movement, evacuees' direction is dynamically adjusted, and tends to the ideal exit under the optimal exit selection mechanism. The parametric simulation experiment of evacuation efficiency is carried out for the physical factors such as the …
Research On Modeling Technology For Hard Cutting Process,
2020
1. School of Mechaical and Dynamic Engineering, Harbin University of Science and Technology, Harbin 150080, China;;
Research On Modeling Technology For Hard Cutting Process, Caixu Yue, Liu Xin, Jiang Nan, Xianli Liu, Genghuang He, Lingxiang Li
Journal of System Simulation
Abstract: The hard cutting has the features of the high maching flexibility, economical efficiency and environmental friendliness, and is widely used in automobile industry, bearing industry, hydraulic industry, etc. The simulation modeling not only plays an important role in predicting the performance of the hard machining and optimizing machining parameters, but also better reflects the nature of the machining and provides the theoretical guidance to the actual machining. The simulation modeling methods of the hard cutting at home and abroad are introduced, and the chip formation, cutting force, cutting temperature, tool wear and machined surface quality are summarized, and the …
Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization,
2020
1. College of Computer and Information, Hohai University, Nanjing 211100, China;;2. Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing 210000, China;;
Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization, Wang Xin, Chunyan Zhang, Ning Chen
Journal of System Simulation
Abstract: A spatiotemporal saliency detection method based on Gestalt optimization is proposed. A method based on the multi-scale local sparse representation and local contrast measure is proposed to compute the spatial saliency in the infrared videos. A multi-frame symmetric difference approach is adopted to detect the temporal saliency. To get the initial spatiotemporal saliency map, a scheme based on the mutual-consistency is designed to fuse the spatial and temporal saliency maps adaptively. A Gestalt-guided optimization method is designed to calculate the final spatiotemporal saliency map. Experimental results show that the proposed method can effectively detect the spatiotemporal saliency of infrared …
A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem,
2020
1. Faculty of Management Engineering, Huaiyin Institute of Technology, Huaian 223200, China;;2. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 30013, China;;3. Jiangsu Smart Factory Engineering Research Center, Huaian 223003, China;
A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem, Changping Liu, Zhenfu Jian, Wenhan Fu
Journal of System Simulation
Abstract: A discrete krill herd algorithm (DKH) is proposed to solve the no-wait flow shop scheduling problem (NWFSP) with the makespan criterion. Based on the characteristics of the optimization mechanism, the notion of “virtual food” in krill herd algorithm and the influenced crossover rules between krill individuals are defined. The concept and calculation method of the individual distance are redefined to measure the neighborhood range to realize the information exchange. The local search strategies of random swap, inverse and insert operator are employed to enhance the local search ability of DKH, and the multiple initialization strategies are redesigned to promote …
3d Reconstruction Of Uav Sequence Image Based On Motion Structure Graph,
2020
Information Engineering University, Zhengzhou 450000, China;
3d Reconstruction Of Uav Sequence Image Based On Motion Structure Graph, Yuhao Wu, Xuefeng Cao, Jinchao Peng, Lianrui Xu
Journal of System Simulation
Abstract: UAV sequence image has the characteristics of high overlap and strong topological connection. Aiming at the inefficient and unstable in processing the large-scale UAV images of the existing incremental 3D reconstruction algorithm, a 3D reconstruction method based on motion structure graph is proposed. The image matching index is established by using the geolocation information and IMU data to improve the image matching efficiency, and the random motion consistency algorithm is used to calculate the relative motion; motion structure graph is used to represent the "association" between images, and closed-loop detection algorithm is used to eliminate the false edges. Under …
Intelligent Evaluation Of Simulation Training For Aerial Ammunition Technical Support,
2020
Battle Support Experiment & Simulation Training Center, Air Force Logistics College, Xuzhou 221000, China;
Intelligent Evaluation Of Simulation Training For Aerial Ammunition Technical Support, Xu Gang, Zhang Lei, Tian Lei
Journal of System Simulation
Abstract: Quantitative evaluation is an important part of the simulation training of the Aviation Ammunition technical support. In order to realize the automatic evaluation of the simulation training, intelligent evaluation technology is introduced, and a prediction model based on Sigmoid regression is proposed. On the basis of analyzing the linear relationship of the sample data of the performance indicators, a subset of the characteristic indicators is selected as the input of the prediction mathematical model. In order to avoid the gradient descent method falling into the local solution problem, the gradient descent + PSO algorithm is presented. After testing the …
Modeling And Simulation Of Quadrotor Uav With Vector Thrust Based On Backstepping,
2020
Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China;
Modeling And Simulation Of Quadrotor Uav With Vector Thrust Based On Backstepping, Zhou Nan, Wang Liang, Jianliang Ai
Journal of System Simulation
Abstract: Combined with characteristics of the traditional quadrotor and the quad tilt-wing UAV, a quadrotor UAV with the vector thrust (VTQ) is proposed. This UAV has the ability of vertical take-off and landing and hovering, as well as the high maneuverability of the traditional quad tilt-wing UAV. It has the ability of completing the diversified tasks by being specified the desired yaw angle and pitch angle. Control system adopts the method of the layered design. The upper layer is the position control system, the lower layer is the attitude control system, and the control laws are both designed by the …
Dynamics Modeling And Simulation Of Gait Rehabilitation Robot Based On Lie Groups And Lie Algebras Theory,
2020
1. School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China;;2. Henan Provincial Key Laboratory of Robotics and Intelligent System, Luoyang 471003, China;;
Dynamics Modeling And Simulation Of Gait Rehabilitation Robot Based On Lie Groups And Lie Algebras Theory, Bingjing Guo, Jianhai Han, Xiangpan Li, Yan Lin
Journal of System Simulation
Abstract: A pneumatic-driven gait rehabilitation robot based on rigid mechanism and flexible driver is designed. To explore the dynamic characteristics of the human-robot harmony system constructed by patients and the exoskeleton robot, the dynamic models of human, robot and human-robot system in different gait phases are established based on Lie group and Lie algebra theory. The driving and energy characteristics of three rehabilitation training modes of passive, active assistance and resistance are analyzed. The robot joint driven moment and the human active moment are simulated to verify the Lie group and Lie algebraic modeling method and the dynamic model. It …
