形成零件组和建立成组生产单元的“生产流程—分类编码”聚类分析法

本文提出了一种利用模糊聚类分析法形成零件组和建立机床组的新方法,实现了生产流程分析法与编码分类法的综合.对于成组加工单元,本文把设备负荷与零件相似系数一起作为形成成组加工单元的主要因素,获得了合理的零件组和机床组,并具有良好的柔性和计算性.     

湿式离合器出油口甩出油温度预测方法

为了实现对湿式离合器出油口甩出油温度传感器的冗余校验和自我诊断，提出了一种基于粒计算约简的离合器出油口甩出油温度的模糊预测方法。首先分析出油口甩出油温度的影响因素，将主要影响因素作为预测输入量，并采用模糊推理理论预测当前离合器出油口甩出油温度。在设计模糊预测方法的过程中，通过分析实车数据得到车辆行驶时离合器处于高滑摩功率过程和低滑摩功率过程的不同特性，分别确定相对应的隶属度函数和模糊预测规则，从而进一步提高出油口甩出油温的预测精度。为了提高模糊预测算法的实时性，基于模糊预测规则创建模糊决策表，模糊输入量和模糊输出量分别作为决策表的条件属性集与决策属性集。利用粒计算理论对模糊决策表的条件属性集进行属性约简，通过削减冗余信息有效降低模糊输入量和模糊预测规则的个数。最后利用实车采集的数据对比分析约简前后模糊预测算法的单步运行时间和预测误差等性能指标。试验结果表明：基于粒计算约简的模糊预测算法能够有效保障预测精度，同时拥有更少的模糊预测规则数和模糊输入量，有效解决了模糊预测算法占用资源较多以及实用性较差的问题。     

We can all get along: The alignment of driver and bicyclist roadway design preferences in the San Francisco Bay Area

Two trends in the United States—growth in bicycling and enthusiasm for complete streets—suggest a need to understand how various roadway users view roadway designs meant to accommodate multiple modes. While many studies have examined bicyclists’ roadway design preferences, there has been little investigation into the opinions of non-bicyclists who might bicycle in the future. Additionally, little research has explored the preferences of the motorists who share roads with cyclists—despite the fact that motorists compose the vast majority of roadway users in the United States and similarly developed countries.This paper presents results from an internet survey examining perceived comfort while driving and bicycling on various roadways among 265 non-bicycling drivers, bicycling drivers, and non-driving bicyclists in the San Francisco Bay Area. Analysis of variance tests revealed that both drivers and bicyclists are more comfortable on roadways with separated bicycling facilities than those with shared space. In particular, roadways with barrier-separated bicycle lanes were the most popular among all groups, regardless of bicycling frequency. Striped bicycle lanes, a common treatment in the United States, received mixed reviews: a majority of the sample believed that they benefit cyclists and drivers through predictability and legitimacy on the roadway, but the lanes were rated significantly less comfortable than barrier-separated treatments—particularly among potential bicyclists.These findings corroborate research on bicyclists’ preferences for roadway design and contribute a new understanding of motorists’ preferences. They also support the U.S. Federal Highway Administration’s efforts to encourage greater accommodation of bicyclists on urban streets.     

复杂电磁环境下装备指挥效能评估分析

应用模糊综合评判法,通过定性评估与定量评估相结合的分析方法,对复杂电磁环境下的装备指挥效能评估进行了研究.针对复杂电磁环境下装备指挥的特点,设计了装备指挥效能评估指标体系模型,通过分析计算得出的结果表明,模糊综合评判法应用于复杂电磁环境下装备指挥效能评估是可行的.     

Enhancing grey prediction fuzzy controller for active suspension systems

A grey prediction fuzzy controller (GPFC) was proposed to control an active suspension system and evaluate its control performance. The GPFC employed the grey prediction algorithm to predict the position output error of the sprung mass and the error change as input variables of the traditional fuzzy controller (TFC) in controlling the suspension system to suppress the vibration and the acceleration amplitudes of the sprung mass for improving the ride comfort of the TFC used; however, the TFC or GPFC was employed to control the suspension system, resulting in a large tire deflection so that the road-holding ability in the vehicle becomes worse than with the original passive control strategy. To overcome the problem, this work developed an enhancing grey prediction fuzzy controller (EGPFC) that not only had the original GPFC property but also introduced the tire dynamic effect into the controller design, also using the grey prediction algorithm to predict the next tire deflection error and the error change as input variables of another TFC, to control the suspension system for enhancing the road-holding capability of the vehicle. The EGPFC has better control performances in suppressing the vibration and the acceleration amplitudes of the sprung mass to improve the ride quality and in reducing the tire deflection to enhance the road-holding ability of the vehicle, than both TFC and GPFC, as confirmed by experimental results.     

模糊层次分析法在高技术企业创业环境评价中的应用

研究高技术企业创业环境评价问题，运用系统分析方法构建了高技术企业创业环境评价指标体系，在此基础上深入研究了模糊层次分析法在高技术企业创业环境评价中的具体运用．结果表明模糊层次分析法是高技术企业创业环境评价的一个新的、有效的方法，最后对模糊层次分析法应用的局限性作了简要的分析．     

图像边界检测区域对比度模糊增强算法在轮廓提取中的运用

分析了图像边界检测的区域对比度模糊增强算法的特点，通过实验验证了该算法的正确性和可行性，并指出了算法的一些不足之处和待改进的地方，提出了一种适用轮廓提取的新广义算子。     

FUZZY RELIABILITY ANALYSIS OF STRUCTURE

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船舶主机数字调速仿真训练器的研制

为了研究船舶主机调速系统的特性和控制算法,将船舶主机调速系统的性能要求转化为复合PID控制算法的问题,研制基于Nabtesco MG-800Ⅲ的数字调速仿真器。非线性PID实现主机转速控制,其比例增益、微分增益和积分增益分别是控制偏差的非线性函数。模糊自整定PID实现主机油门的位置控制,其PID的3个参数随着偏差和偏差变化速度,根据模糊控制原理进行在线修改。物理仿真结果表明,数字调速器的非线性模糊自适应PID算法能提高调速系统的动态精度和抑制扰动的能力。     

公路隧道照明精确检测与智能控制系统研究

为解决公路隧道照明系统节能与行车安全、运营管理之间的矛盾，采用理论分析及实际检验的方法，分析了隧道照明控制系统的调光原理、照明控制系统结构以及亮度检测误差产生的原因，设计了一种可调量程的亮度检测仪并给出校准及亮度检测步骤，解决了公路隧道亮度精确检测的难题，采用模糊神经网络算法在照明系统中进行了实际应用，实践证明本算法在亮度满足实际运营需求的前提下可取得良好的节能效果。