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系统仿真技术

系统仿真技术

CSTPCD

System Simulation Technology
《系统仿真技术》建模及仿真方法学、仿真计算机及仿真软件、训练、研究及系统运行中的仿真器、仿真中的人工智能技术、并发分布交互仿真技术、先进制造领域中的建模与仿真技术、虚拟现实与可视化、国内外仿真技术及科学计算的最新进展并设立了”仿真实例”、”科普园地” 、”专家论坛”及会议、书刊介绍。
  • 发文量：966
  • 被引量：190
  • H指数：1
  • 开始收录时间：2005(1)
  • CNKI综合因子：0.402
  • 维普期刊影响因子： 0.38
  • 万方期刊影响因子：0.44
  • 创刊时间：2005
  • 国内刊号/CN：31-1945/TP
    国际刊号/ISSN：1673-1964
  • 发行周期：季刊
    邮发代号：4-807
  • 主管单位：中华人民共和国教育部
    主办单位：同济大学
系统仿真技术-联系信息
  • 主编：万钢
  • 电话：021-65976517
  • 邮箱：xtfzjs@tongji.edu.cn
  • 地址：上海市四平路1239号同济大学242信箱
  • 邮编：200092
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系统仿真技术 >2024年第2期
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  • 摘要：The municipal engineering cost estimation is characterized by high nonlinearity,and the results are quite complex and can not be established with the traditional method.In order to improve the efficiency of project cost estimation,this paper presents a data model based on back propagation (BP) neural network.In this model,based on municipal drainage pipeline engineering work and project characteristics,the main influencing factors of municipal engineering cost are found out to establish the mapping relationship between the factors of project cost and cost effect.According to their relationship,a prediction model based on BP neural network is built.Finally,the model is simulated by Matlab.The results show that the simulation model based on BP neural network is more accurate and feasible,and it has a high application value.%市政工程造价预估特点是高非线性,造价预估结果受到工作内容和项目特征等因素的影响相当复杂,无法用传统的方法建立精确的数据模型.为了提高工程造价预估效率,提出了一种基于反向传播(BP)神经网络的数据模型.该模型以市政排水管道工程的工作内容和项目特征为研究基础,找出了市政工程造价的主要影响因素,从而建立了工程造价和造价影响因素之间的映射关系,并根据其关系,建立了基于BP神经网络的预估模型.对模型进行Matlab仿真,结果表明建立的基于BP神经网络的仿真模型对市政工程造价预估比较准确.
  • 摘要：By analyzing various links between oil production plant safety production and post responsibility,a set of security controlled platform used in oil field's production management is built.In terms of safety management requirements,this paper introduces the overall architecture of the platform and its module and basic functions,and describes the business process customization module,knowledge base and model implementation based on user group right order.With the application of controlled production safety management platform,the collaborative and automation level is improved effectively to implement all kinds of safety information integrated management in oil production.Heterogeneous data sources are integrated and associated,leading to the improvement of safety management standardization and work efficiency.%通过分析某采油厂安全生产涉及的各个工作环节和责任岗位,根据采油厂安全管理的需求,建立了一套适合采油厂管理的安全受控平台.介绍了平台的整体架构设计、平台的组成模块及基本功能,描述了业务流程定制、知识库模块及基于用户组权限定制的实现方式.采油厂安全受控管理平台的应用能够有效提高安全管理工作的协同性和自动化水平,实现对采油厂所涉及各类安全信息的集成管理,以及对各异构数据源的整合及关联,增强安全管理工作的标准化、规范化,使工作效率得到较大提升.
  • 摘要：智能制造是我国的重大发展战略之一.智能制造将产生海量数据,而这些数据之间一定存在着某种必然联系,深入挖掘这些数据之间的关系,反过来又会促进智能制造的发展.以起重机为例,阐述了大数据在云制造智能服务方面的应用,这些应用(包括智能供需匹配、智能资源管理、智能资源竞价、智能销量预测等)的实现将提升起重机制造的服务能力.%Intelligent manufacturing is one of the major development strategies.Mass data will produce from intelligent manufacturing.There must be a necessary relation among these data.To find the relation will promote the development of intelligent manufacturing.Taking crane as an example,the application of mass data in cloud manufacturing intelligent services is discussed.The realization of the application,including intelligent match of service providers and users,intelligent resource management,intelligent resource bidding and sales forecast,will improve the services of crane manufacturing.
  • 摘要：以杭州主城区为例,利用ArcGIS软件中的莫兰指数和安瑟伦局部莫兰指数工具,在宏观和微观两个层次上分析租赁点早高峰租还潮汐比的空间自相关性和分布形态.以"潮汐显著"和"租还平衡"的空间聚类租赁点为典型样本,使用多变量相关分析方法考察租赁点服务区的加权居住用地比例和用地多样性指数对早高峰潮汐比的影响,并构建回归模型.实验结果验证了模型的正确性.%Taking Hangzhou Central City as an example,the spatial autocorrelation and distribution pattern of tidal ratio for bicycle-sharing station in morning-peak-hours is analyzed from both global and local scale with the spatial statistics tool of Moran's index and Anselin Local Moran index respectively in ArcGIS software.Then,the stations within low-and high-tidal-ratio clusters are selected as typical samples,and the impacts of land use such as weighted residential land proportion and land-use diversity index on tidal ratio are studied by multi-variable correlation analysis method.Finally,a regression model is built to estimate the tidal ratio of planned stations.The experiment results verify the correctness of the model.
  • 摘要：基于表面扩散和蒸发-凝结两种机制的经典理论,建立有限元法,对由应力诱发的两种机制共同作用下金属内连导线中沿晶微裂纹的演化进行数值模拟.采用机制比K衡量两种机制竞争的强弱,当K(＜＜)1时,可将模型视作仅受表面扩散机制的影响.结果表明:随着K的增大,微裂纹的演化呈现三个阶段,即表面扩散占据优势、两种机制竞争激烈和蒸发-凝结机制占据优势;微裂纹分节时面积整体呈增大趋势,增幅在两种机制竞争激烈时有所放缓;分节时间整体呈减小趋势,随着机制比增大,降幅有所减小;临界形态比则先增大后减小.%Based on the classical theory of two mechanisms including surface diffusion and evaporation-condensation,a finite element program was developed to simulate the evolution of intergranular microcracks in metal interconnects due to the two mechanisms induced by stress migration.The ratio K was used to evaluate the competitive strength of the two mechanisms.When K is much smaller than 1,the surface diffusion is the only affecting factor for the model.The results show that,with the increase of K,the evolution of intergranular microcracks can be divided into three stages,i.e.,the surface-diffusion-dominated stage,the competition stage and the evaporation-condensation-dominated stage.When the microcrack splits,the area tends to increase while the growth slows down in the middle stage.The splitting time tends to decrease and the decline reduces along with the increase of K.We also find out that the critical value of aspect ratio increases first and then decreases.
  • 摘要：提出了一个基于Spark的分布式实时推荐系统(RS).该系统应用MovieLens数据集,在Spark平台上实现了基于模型的协同过滤(CF)算法,并在Spark Streaming框架上运用该算法进行测试,评估实时推荐中算法的可靠性.%A distributed real-time recommendation system (RS) based on Spark is proposed in this paper.A model based collaborative filtering (CF) algorithm is implemented on Spark platform using MovieLens dataset.Then,the algorithm is tested on the Spark Streaming framework,and the reliability of the algorithm is evaluated.
  • 摘要：The construction and exploration of information systems in Tongji University is summarized from different views.Firstly,the status and the achievements in construction of data warehouse and data service are introduced.Secondly,the paper presents the campus mobile application named Tongxin Cloud.Thirdly,the service oriented architecture (SOA)-based university information platform construction plan is described.Lastly,this paper summarizes the role of big data technology in the university's information system infrastructure and looks to the future trends.%从四个方面总结了同济大学在校园信息化方面的建设与探索.介绍了同济大学在数据仓库和数据服务方面的现状和成果,阐述了同济大学私有云移动应用"同心云",并重点介绍同济大学面向服务的体系结构(SOA)的校园信息化平台建设方案.最后概述了大数据技术在信息化建设中的应用与展望.
  • 摘要：在已有的OpenStack故障模式库基础上,提出基于日志异常特征的语义匹配故障诊断方法.首先,使用动态时间窗口方法,聚集属于同一故障所抛出的异常信息.其次,计算不同异常属性与异常类型的互信息,并采用语义匹配方法计算不同属性的近似值.最后,通过综合计算得到匹配度较高的故障模式,并构建OpenStack故障语义匹配系统原型.通过实验分析可知,基于日志异常特征的语义匹配故障诊断方法对于提升故障模式识别能力具有显著作用.%On the foundation of existing OpenStack fault library,a fault diagnosis method of semantic matching based on log anomaly feature is proposed.Firstly,using a dynamic time window,the anomaly information thrown by the same faults is aggregated.Secondly,the mutual information of different anomaly and exception types is calculated,and the approximation of different attributes with semantic matching is also calculated.Lastly,the fault pattern with high matching degree is obtained by comprehensive calculation and the semantic-based fault diagnosis system prototype of OpenStack is constructed.The experimental results show that the semantic-matching fault diagnosis method based on log anomaly feature has a significant effect on the improvement of fault pattern recognition.
  • 摘要：A design scheme of real-time access device based on embedded system architecture is proposed.Using common hardware interface and software framework,users only need to edit communication protocols to implement resources access to a live virtual and constructive (LVC) test system with the design of field programmable gate array (FPGA) and digital signal processor (DSP) procedures,protocol conversion modules and middleware modules.Finally,some methods are adopted to optimize the real-time access agent and the corresponding tests are conducted.The results show that the performance of the device meets the requirements.%提出了基于嵌入式系统架构的通用实装资源实时接入设备的设计方案.采用通用硬件接口及软件框架,通过设计现场可编程阵列(FPGA)和数字信号处理器(DSP)程序以及协议转换模块和中间件模块,使用户只需编辑通信协议即可将实装资源接入虚实合成试验系统中.最后采用多种方法对代理进行实时优化设计并完成测试,结果表明代理设备性能指标满足系统接入要求.
  • 摘要：设计了一套城市道路交通虚拟三维场景的快速建模方案.通过移动测量、图像处理、三维建模和场景设计等方法,实现对不同控制策略(动态和静态)、道路(路网和人行道)和背景(街景、护栏和绿化等)场景模型的快速建模.应用该方案对北京市的18 km2局部道路区域进行了三维场景建模,得到了满足驾驶模拟实验需求的虚拟三维场景.实际应用表明,相比传统建模方法本方案建模效率提高了40%.应用该虚拟场景进行了120人次高仿真驾驶模拟实验,驾驶员问卷调查结果显示驾驶环境真实度高、标识信息识别效果好.%A rapid modeling scheme of virtual scene for urban road traffic is proposed in this paper.In the scheme,several techniques such as mobile measurement、image processing and three-dimension modeling method are combined to construct models of different control strategies (dynamic and static),road networks (road and sidewalk) and backgrounds (street,guardrail and greening,etc.).The scheme is applied to 3D modeling of a local road area about 18 km2 in Beijing to obtain a virtual 3D scene for driving simulation experiment.The practical application shows that the efficiency of the proposed scheme is improved by 40% compared with the traditional modeling method.The virtual scene is used to carry out a simulation experiment by 120 drivers,and the questionnaire results show that the drivers experienced a reality driving environment and the traffic signs are identified easily.
  • 摘要：提出了一种基于外部增益的网络控制系统时延补偿方案.根据网络的时延和阻塞等状况,适时地修改控制器的输出,使得控制器能够适应不同状况下的网络控制系统,从而达到时延补偿的目的.仿真结果表明了该方法的有效性.%This paper proposes a new time-delay compensation scheme for networked control system based on external gain.According to network-induced delay and network congestion,the scheme modifies controller output in time to make the controller adaptable to the system under different network traffic conditions.Therefore,it meets the demand of time-delay compensation.The simulation results show the effectiveness of the scheme.
  • 摘要：In this paper,a low-energy-node clustering algorithm is proposed.Comprehensively considering the residual energy and load balance of neighboring node of low-energy node,the best cluster-head in low-energy nodes' area is figured out.Then,the best cluster-head in the other areas is chosen through iteration until all areas in entire network are traversed.The simulation results show that,in comparative analysis with low-energy adaptive clustering hierarchy(LEACH) and geographical adaptive fidelity (GAF),the algorithm realizes the balance of network energy consumption and the extension of network lifetime.%提出了一种关注弱节点的分簇算法.综合考虑弱节点邻居节点的剩余能量和负载均衡度,计算出弱节点所在区域的最优簇头,并通过迭代选出剩余区域弱节点的最优簇头,直至整个网络所有区域均选出最优簇头.与低功耗自适应分簇(LEACH)算法和地域自适应保真(GAF)算法的仿真结果对比分析表明:该算法可以实现网络能耗均衡,最大限度延长网络寿命.
  • 摘要：Detecting cyber-attacks undoubtedly has become a big data problem.This paper presents a tutorial on data mining based cyber-attack detection.First,a data driven defence framework is presented in terms of cyber security situational awareness.Then,the process of data mining based cyber-attack detection is discussed.Next,a multi-loop learning architecture is presented for data mining based cyber-attack detection.Finally,common data mining techniques for cyber-attack detection are discussed.
  • 摘要：为提高室内清洁机器人的工作效率,提出了基于位置、速度偏差的协同工作算法,使得室内清洁机器人在速度和位置上保持一致,从而完成协同清扫房间的任务.通过计算机仿真及实验,验证了本文所提出算法的有效性.%To improve the working efficiency of indoor cleaning robots,a cooperative algorithm is proposed based on position and velocity bias.By using the algorithm,the robots can guarantee the consensus on position and velocity in doing house cleaning.Finally,the numerical simulation is given to verify the effectiveness of the proposed algorithm.
  • 摘要：Based on motor-cam-slider-crank mechanism,a biomimetic fish fin unit was developed.Then,the kinematics of biomimetic fish fin unit was analyzed,the relationship between cam and fin ray was also established.In combination with Adams simulation software,the change of angular displacement,angular velocity and angle acceleration of fin ray was presented under different cam angular velocities of π/6 rad·s-1 and 2π/3 rad·s-1.The results indicate that:the curves of angular displacement,angular velocity and angle acceleration with time present the same undulating rule with equal frequency.However,the ray angular acceleration time curve presents small asymmetry relative to the zero line.Moreover,the frequency and the amplitude of angular displacement,angular velocity and angle acceleration increase with the increase of motor rotation velocity.This motion characteristics coincide with the motion law of biological fins.The development of current biomimetic fish fin unit provides a reference for the further research on bio-propulsor.%利用电机-凸轮-滑块-曲柄机构,设计了一款仿生鱼鳍单元.对仿生鱼鳍单元的运动学进行分析,建立了凸轮运动参数与鳍条运动参数之间的关系.结合Adams仿真软件,分析凸轮角速度分别为π/6和2π/3 rad·s-1时鳍条运动角位移、角速度和角加速度随时间的变化.结果显示:鳍条角位移、角速度和角加速度曲线均呈现等频率波动规律,但鳍条角加速度时间曲线相对零位呈现小幅度的不对称性;随着电机转速增加,鳍条角位移、角速度和角加速度的变化频率增大,幅值也随之增大.上述运动特征与生物鱼鳍的运动规律相符,该仿生鱼鳍单元结构设计为进一步研制仿生鳍推进器提供参考.
  • 摘要：采用驾驶模拟器研究了地下道路匝道入口段车辆的运行特征.试验场景包括从左侧进入主线和从右侧进入主线,并分别设置一级、二级和三级服务水平的主线交通流环境.采集了匝道入口段车辆的行驶速度、加速度、横向偏移量及位置信息等数据,通过配对样本t检验和单因素方差分析了车辆运行特征的影响因素.结果表明,匝道布置方式、主线交通环境等因素对匝道汇入车辆的运行特征均有显著影响.最后通过回归分析建立了车辆在加速车道的行驶距离回归模型.%The vehicle operation characteristics of ramp entrance in underground road are studied based on driving simulator.There are several experimental scenes,including left ramp and right ramp with the first,second and third service level respectively.In the process of experiment,vehicle speed,acceleration,lateral displacement and location information are collected at the ramp entrance section.Using paired t-test and analysis of variance,the influence factors of vehicle operating characteristics are investigated.The results show that the effects of ramp layout and mainline traffic environment on vehicle operation characteristics are significant.Finally,the regression model of vehicle traveling distance on acceleration lane is established.
  • 摘要：构造了一种基于分数阶梯度下降法的模型预测控制器.首先选取极限学习机对分数阶非线性系统建模,然后基于分数阶微积分理论提出分数阶梯度下降法,并利用该方法求取控制律.将所设计的分数阶非线性预测控制方法应用于一个分数阶非线性系统,仿真结果表明改进的算法能够较快地实现设定值跟踪,具有较强的稳定性.%A model predictive controller with fractional gradient descent was constructed.A fractional nonlinear system was modeled with extreme learning machine.Then based on fractional calculus theories,fractional gradient descent was proposed and control laws in nonlinear predictive control were obtained.Finally,the designed controller was applied to a fractional nonlinear system.Simulation results show that the proposed method has fast tracking response and strong stability.
  • 摘要：A simulation method of upper-limb stiffness based on electromyography(EMG)was proposed.The upper-limb movement was simplified as the two degrees of freedom joint movement.Then,EMG at the elbow joint of the upper limbs during flexion and extension movement was collected and the characteristics of muscle activity were extracted.Based the above data,the muscle stiffness was calculated with Hill-type muscle model.Finally,the existing artificial neural network model was used to calculate the muscle stiffness of the upper limbs and the reliability of the calculated results was verified.%提出了一种基于肌电信号的上肢刚度仿真方法.将上肢运动简化为两自由度的关节运动,然后采集上肢在屈伸运动中肘关节处相关肌肉的肌电信号(EMG),并从中提取肌肉活跃度特征.在此基础上,利用Hill-type肌肉模型估算肌肉力进而计算肌肉刚度.最后,利用现有的人工神经网络模型计算上肢的肌肉刚度,并验证推算结果的可靠性.
  • 摘要：In this paper,a submarine combat-deduction system architecture based on MAXSim platform is proposed.The architecture is built on the basis of function domain partition of the deduction system.Using Agent-based unified modeling language,from the perspective of physical logic description,the business model Agent of submarine combat-deduction system is divided and the logic description model of platform model Agent is designed.Finally,the simulation flow of the deduction system is given,the rationality of the system architecture and model is verified.It provides a feasible approach for intelligent flexible submarine-combat deduction system construction.%提出了一种以MAXSim平台为支撑的潜艇作战推演系统架构,该架构建立在潜艇作战推演功能域划分的基础上.采用基于Agent统一建模语言(AUML)的建模方法,从实体逻辑描述的角度,确定了潜艇作战推演系统业务模型Agent的分类,并详细设计了平台模型Agent的逻辑描述模型.最后给出了潜艇作战推演系统仿真流程,并通过仿真运行验证了系统结构和模型的合理性,为智能柔性的潜艇作战推演系统建设提供一种可行的技术途径.
  • 摘要：建立了一个旋挖钻机健康诊断系统.基于Fisher判别分析(FDA)方法,结合大量的样本数据,建立了旋挖钻机健康诊断系统的判别函数.在该判别函数基础上,对涉及旋挖钻机整机健康状态的电气、液压、结构、动力、保养、工作时间等6个方面共8项指标特征值行了统计分析.实例验证了利用Fisher判别分析法实现旋挖钻机或同类产品健康诊断的可行性.%A health diagnosis system of rotary drilling rig was constructed.Based on Fisher discriminant analysis (FDA) method,the discrimination function of rotary drilling rig health diagnosis system was built with a lot of sample data.Then,the eight feature values in six aspects,including electric,hydraulic,structure,power,maintenance and operating hours,were analyzed.The example verified the feasibility of health diagnosis system in rotary drilling rigs or other similar products.
  • 摘要：In this paper,based on the four-axis redundant configuration,the cold backup scheme of dual light source module is designed,and the method of light source fault and light path fault diagnosis based on optical power monitoring is proposed.The optical power monitoring circuit of single-axis fiber optic gyroscope is designed,and the relationship between the output value of optical power monitoring and the optical power of detector is analyzed.The optical power monitoring circuit of single-axis fiber optic gyroscope is designed,and the relationship between the output value of optical power monitoring and the optical power of detector is also analyzed.Combined with the monitoring results of four-axis optical power value,the failure criterion of light source is proposed.Experimental results show that the four-axis optical power monitoring can effectively determine the light source failure,which provides a basis for light source fault diagnosis and treatment for the dual light source cold backup fiber optic gyroscope components.%提出了基于四轴冗余构型的双光源部件冷备份方案,并给出了基于光功率监测的光源故障与光路故障诊断方法.首先设计了单轴光纤陀螺光功率监测电路,分析了光功率监测输出值与到达探测器光功率的传递关系,然后结合四轴光功率值监测结果给出了光源故障判据.实验结果表明四轴光功率监测能有效判别光源故障,为双光源冷备份光纤陀螺组件方案提供了光源故障诊断与处理的依据.
  • 摘要：An adaptive statistical method in the residual space of principal component analysis (PCA)-based is proposed in this paper.First,the original space is separated into principal component space and residual space.Next,in residual space,an adaptive statistic variable,Te2,which is the combination of Hotelling's T2 and Euclidean distance,is given.The proposed method,PCA-Q and kernal pricipal component analysis(KPCA)-Q are applied to the Tennessee Eastman (TE) process.The comparison of monitoring results shows that the proposed method is superior to PCA-Q and KPCA-Q.%提出一种基于主元分析(PCA)残差空间的自适应统计方法.将原始空间分解为主元空间和残差空间,然后根据残差空间得分变量方差变化趋势,给出由Hotelling's T2和欧式距离相结合的自适应统计量Te2.将PCA-T2、PCA-Q以及核主元分析(KPCA)-Q等方法应用于田纳西-伊斯曼(TE)过程中,仿真结果表明PCA-Te2具有较高的检测性能.
  • 摘要：This paper presents a performance assessment method of hydraulic system based on health baselines and Mahalanobis distance in variable conditions.General regression neural network (GRNN) is employed as a system observer.Utilizing normal data,the health baselines are established.Then,the residual error is obtained from the observer,and the Mahalanobis distance is calculated and normalized into a confidence value.Matching matrix is employed to realize the performance assessment under different conditions.Finally,a hydraulic system model realized by co-simulation of HyPneu and Simulink is established.The results of experiment indicate that the performance assessment of hydraulic system in variable conditions is effective.%提出一种基于健康基线和马氏距离的液压系统变工况健康评估方法.建立基于广义回归神经网络(GRNN)的观测器,并利用健康状态数据构建健康基线;利用观测器获取残差,计算与健康基线间的马氏距离并归一化为健康度;利用匹配矩阵实现变工况健康评估.最后,建立基于HyPneu和Simulink的液压系统联合仿真模型,实验结果表明该方法可以有效地在变工况下评估液压系统的性能.
  • 摘要：A space geometry method for the fault diagnosis of autonomous vehicle was proposed.The model of autonomous vehicle system was built.Then,a residual generator was designed to realize the decoupling of residuals from system inputs and unknown disturbances.The residuals reflect the vehicle fault detection status,and satisfy the one-to-one correspondence between faults and residuals.The simulation results verified the effectiveness of the proposed method for the fault detection and isolation of autonomous vehicle.%提出了用空间几何方法对智能车进行故障诊断.对智能车系统进行建模,并设计残差生成器,实现残差对系统输入和系统中未知干扰的解耦.智能车产生的故障情况由残差值直接反映,且满足残差值与故障一一对应的关系.仿真结果表明该方法可以有效地检测并隔离智能车故障.
  • 摘要：针对存在外部扰动、模型不确定和执行器故障的无人机(UAV)姿态控制系统,提出了无人机姿态控制系统滑模动态面容错控制方法.首先,给出一个非线性的无人机姿态控制系统数学模型;然后,当无人机姿态控制系统出现执行器故障时,通过滑模控制项来抑制干扰,使滑模观测器具有鲁棒性,并给出自适应故障估计值,实现干扰与故障的解耦;最后,根据故障估计得出的信息,给出滑模动态面主动容错控制方法,并利用Lyapunov理论证明系统的稳定性,保证系统在执行器故障下能够渐近跟踪指令,使跟踪误差最终一致有界.利用仿真实例来验证所提容错控制律的有效性.%In this paper,a fault-tolerant control scheme of sliding mode dynamic surface is proposed for an attitude control system of unmanned aerial vehicle (UAV) with external disturbance and actuator fault.Firstly,the mathematical model of a nonlinear attitude control system for UAV is presented.Secondly,when the UAV attitude control system appears actuator failure and disturbance,an adaptive fault estimation is obtained by a sliding mode observer.According to the estimated fault information,a dynamic surface active fault-tolerant control scheme is proposed.Lastly,the Lyapunov theory is used to prove the stability of the system,which ensures that the system with actuator failures can asymptotically track the instruction and the tracking error is ultimately uniformly bounded.A simulation example is given to verify the effectiveness of the proposed fault-tolerant control scheme.
  • 摘要：开发了一套船舶机电设备的健康监测原型系统.在被监测系统处设计一个现场接触式智能传感器原型,用于数据采集和数据处理,然后将监测数据上传至服务器.基于多智能体的思想,构建了分层次多智能体结构的健康监测系统,并给出了智能传感器的软件架构.最后,设计便携式移动终端,使得巡检人员在任何地点都可以得到当前系统健康状况,以便及时采取维修措施,保证机电设备正常运转.%A set of health monitoring prototype for marine electromechanical system was developed.Firstly,a field contact intelligent sensor prototype was designed for data acquisition and data processing,and then the monitoring data were uploaded to a server.Secondly,based on the idea of multi-agent,a health monitoring system with hierarchical multi-agent structure was constructed and the software architecture of intelligent sensors was given.Finally,a portable mobile terminal was designed.Therefore,the inspector can get the current health status at any location,so as to take maintenance measures timely to ensure the normal operation of electromechanical equipment.
  • 摘要：The fault-tolerant module of geosynchronous orbit (GEO) satellites was designed based on computational intelligence and information fusion.Then,an intelligent fusion fault-tolerant scheme selection algorithm was proposed based on fuzzy neural network and expert system model.The algorithm can estimate and predict the state of satellite using dual-filter,judge the validity of satellite measurement information,compute the confidence of attitude determination system by model,and select the matching fusion scheme according to actual in-orbit situation.Numerical examples are given to illustrate the validity of the algorithm.%基于计算智能和融合方法设计了一种静止轨道卫星容错结构,并提出了一个由模糊神经网络和专家系统模型构成的智能容错算法,该算法利用双滤波器对卫星状态进行估计和预测.首先对卫星测量信息的有效性进行判断,然后通过计算智能模型计算各敏感器的置信度,最后根据卫星在轨工作健康状态选择相应融合方法.仿真算例验证了该算法的有效性.
  • 摘要：为消除轴承振动信号的中强背景噪声,提出一种改进的混合自适应均衡算法.首先构建了收敛速度较快、稳定性较好的改进混合自适应均衡消噪模型,然后利用此消噪模型对含噪的轴承故障数据进行消噪处理.实验结果表明,该方法能够较好地消除轴承故障振动信号中的噪声.%To eliminate the strong background noise of vibration signals of bearings,an improved hybrid adaptive equalization algorithm was proposed.Firstly,an improved hybrid adaptive equalization denoising model was constructed with fast convergence speed and good stability.Secondly,the model was used to denoise the noisy bearing fault data.Experimental results show that the method can effectively eliminate the noise in the vibration signal of bearing fault.
  • 摘要：Based on the wavelet packet decomposition theory,this paper proposes a kind of method on the diagnosis of loose slipper fault of piston pumps.Raw hydraulic pump outlet pressure signals are decomposed by wavelet packet into three layers whose time domain,frequency domain as well as time-frequency domain information are fully used in order to deal with the problem which cannot be solved by the fast Fourier transform precisely.By comparing with different sorts of wavelets' diagnosis accuracy,the result shows that the db4 wavelet is more suitable in handling this issue and its accuracy reaches as high as 98.68％.%基于小波包分解理论提出一种柱塞泵松靴故障程度诊断方法.对液压泵出口压力信号进行3层小波包分解,充分利用时域、频域及时频域信息,解决了传统快速傅里叶变换无法准确判断松靴这一渐进性故障程度问题.对比多族小波的多个子小波并比较故障程度判断精确度,结果表明db4小波在对这一问题的处理中表现更为突出,精确度达到98.68％.
  • 摘要：基于同济大学“同心云”平台,运用朴素贝叶斯、支持向量机(SVM)、神经网络等机器学习算法,把平台上的微博内容按管理职能部门自动分类.对比几种算法的分类效果,研究停用词、神经网络隐层节点数对分类效果的影响.通过文本分类方法,将广大师生提出的建议和意见及时反馈到相关部门,从而提高高校行政服务质量.%Based on Tongji University's Tongxinyun platform,naive Bayesian,support vector machine (SVM) and neural network are used to classify the microblogs by departments.Then,the effects of the algorithms on the classification are compared,and the effects of disable word and node number of hide layer on classification results are also studied.With the method of text classification,the recommendations and comments of teachers and students are sent to the relevant departments timely,which improves the quality of administrative services in colleges and universities.

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