基于加工能力模糊聚类的设备分组方法

为了在工艺设计中高效、合理、准确地确定加工设备,实现资源优化配置,提出了基于加工能力模糊聚类的设备分组方法.该方法采用加工能力元描述设备的加工能力,通过对加工能力元的聚类分组,实现对设备的分组.在此基础上,建立了加工能力元的数学模型,采用区间数模糊C-均值聚类算法对模型进行了求解,并采用改进的最大最小距离算法产生初始分组中心.最后,通过具体实例,验证了该方法的有效性.     

ENGINE SENSOR FAULT DIAGNOSIS USING MAIN AND DECENTRALIZED NEURAL NET WORKS

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面向产品开发活动的细胞交互模型研究

为实现产品开发活动交互的自主性和多样性,更好地支持产品开发过程管理与优化,在对细胞的交互机理、物质能量及信息的输入输出渠道研究的基础上,基于Petri网构建了面向产品开发的细胞交互元模型,给出了模型的定义及变迁规则.以汽车油泵单向阀测试装置开发过程为实例,验证了建模方法的有效性.     

Crop parameters estimation by fuzzy inference system using X-band scatterometer data

Learning fuzzy rule based systems with microwave remote sensing can lead to very useful applications in solving several problems in the field of agriculture. Fuzzy logic provides a simple way to arrive at a definite conclusion based upon imprecise, ambiguous, vague, noisy or missing input information. In the present paper, a subtractive based fuzzy inference system is introduced to estimate the potato crop parameters like biomass, leaf area index, plant height and soil moisture. Scattering coefficient for HH- and VV-polarizations were used as an input in the Fuzzy network. The plant height, biomass, and leaf area index of potato crop and soil moisture measured at its various growth stages were used as the target variables during the training and validation of the network. The estimated values of crop/soil parameters by this methodology are much closer to the experimental values. The present work confirms the estimation abilities of fuzzy subtractive clustering in potato crop parameters estimation. This technique may be useful for the other crops cultivated over regional or continental level.     

Applying fuzzy bi-dimensional scenario-based model to the assessment of Mars mission architecture scenarios

Sending man to Mars has been a long-held dream of humankind. NASA plans human planetary explorations using approaches that are technically feasible, have reasonable risks and have relatively low costs. This study presents a novel Multi-Attribute Decision Making (MADM) model for evaluating a range of potential mission scenarios for the human exploration of Mars. The three alternatives identified by the Mission Operations Directorate (MOD) at the Johnson Space Center (JSC) include split mission, combo lander and dual scenarios. The proposed framework subsumes the following key methods: first, the conjunction method is used to minimize the number of alternative mission scenarios; second, the Fuzzy Risk Failure Mode and Effects Analysis (RFMEA) is used to analyze the potential failure of the alternative scenarios; third, the fuzzy group Real Option Analysis (ROA) is used to estimate the expected costs and benefits of the alternative scenarios; and fourth, the fuzzy group permutation approach is used to select the optimal mission scenario. We present the results of a case study at NASA’s Johnson Space center to demonstrate: (1) the complexity of mission scenario selection involving subjective and objective judgments provided by multiple space exploration experts; and (2) a systematic and structured method for aggregating quantitative and qualitative data concerning a large number of competing and conflicting mission events.     

模糊控制在雷达天线控制系统中的应用

针对目前在雷达天线控制系统中采用数字PID控制存在超调量大、响应时间长等不足，分析比较了数字PID控制和模糊控制的不同特点，介绍了模糊控制在雷达天线控制系统中的应用。     

喷嘴雾化特性模糊评判模型

利用模糊综合评判法构造喷嘴雾化模糊关系矩阵，建立了描述喷嘴雾化特性的模糊数学模型，利用该模型分别对不同工况下的空气雾化喷嘴，离心式喷嘴雾化特征进行了理论计算，通过聚类，对5种实验工况进行了分类，计算的分类情况与实验结果基本一致，对空气雾化喷嘴，离心式喷嘴不同实验工况的雾化效果进行了正确的评判。     

航空维修宏观管理的人工智能方法

本文将人工智能技术引入航空维修管理工程,从而建立集中专家智慧的宏观管理专家系统。文中提出基于模糊集理论的推理模型,基于随机集落影和集值统计理论获取知识和自适应修正的新方法——特征值法,以及PROLOG的系统实现途径。该方法可定量评估航空维修系统效能,诊断系统异常的原因。     

多变量线性系统的特征模型及控制方法

对多输入 -多输出高阶线性定常系统从理论上详细推导出了其特征模型 ,并给出了基于特征模型的自适应模糊广义预测控制方案。所建立的特征模型为智能控制器设计和一些高阶对象的低阶控制器设计提供了理论依据 ,特别是为大型空间挠性航天器的控制提供了一种有效的途径。通过对一个航天器控制的仿真研究验证了所给方法的有效性     

应用有色Petri网的复杂系统四性一体化综合评估方法

为避免复杂系统以可靠性、维修性、测试性和安全性为四性的设计中仍存在"割裂"现象,在确定四性一体化基本参数的基础上,约束可靠性等四性单性指标,建立了基于有色Petri网的复杂系统四性一体化综合评估方法。在JAVA环境下,基于有色Petri网,利用工具PIPE分别建立了复杂系统结构有色Petri网模型和综合评估有色Petri网模型,形成四性一体化综合评估有色Petri网模型。变迁触发时,将复杂系统的四性状态分为3类并分别染色。根据库所中的托肯颜色,判断复杂系统各项指标满足情况以及所处状态。重复迭代评估,实时跟踪复杂系统四性所处状态,实现四性一体化综合权衡设计。算例证明,四性一体化综合评估方法全面合理,验证了方法的有效性和准确性。