基于云映射的多粒度语义决策属性识别

异类多传感器多属性目标识别中的描述性语义和决策属性信息无法直接进行识别判定,为此基于粒层转化的思想,提出了一种语义和决策属性识别方法。首先构造云映射函数,将语义和决策属性粒层统一到区间粒层,再根据灰色关联的思想计算区间化后的语义和决策属性信息与数据库之间的区间关联度,实现了不等粒层属性的粒度计算,最后采用证据推理进行了识别判定。结合语义和决策属性识别算例及对比分析,验证了所提出方法在异类数据模糊转化处理和识别上的有效性。     

基于小波包分析与多核学习的滚动轴承故障诊断

为了更准确地诊断滚动轴承故障,提出了一种基于小波包分析与多核学习的滚动轴承故障诊断方法.该方法首先对振动信号进行3层小波包分解,将振动信号分解为不同频带的信号,提取各频带的相对能量特征,构建特征向量;然后采用多核学习算法从训练样本集中学习核函数与分类器;最后使用训练出的分类器识别滚动轴承故障类型.为了验证方法的有效性,进行了滚动轴承故障诊断实验,实验结果表明该方法的故障诊断准确率达到98.25%,与传统的基于小波包与支持向量机的滚动轴承故障诊断方法相比,其故障诊断准确率更高,同时由于避免了核函数的选择问题,该方法更便于实际应用.      

一种基于有限K近邻的强度帕累托进化算法

在航天器控制计算机的软硬件协同设计过程中,需要解决多目标优化问题。当前的强度帕累托进化算法在求解高维多目标优化问题时具有优势,但是在环境选择阶段的计算时间复杂度仍然较大。文章针对这一问题,提出了一种改进算法。新的算法采用有限K近邻方法,减少了原算法中K近邻策略的比较次数,使时间复杂度由O(M3)下降为O(max(l,logM)M2。试验结果表明文中算法的计算速度更快,并且具有更优的收敛性和分布多样性特征。     

Navigation Solution to Maneuver a Spacecraft Relative to a Sphere Centered on a Cooperative Satellite

A differential correction algorithm is presented to deliver an impulsive maneuver to a satellite to place it within a sphere, with a user defined radius, centered around a non-maneuvering satellite within a constrained time. The differential correction algorithm develops and utilizes the State Transition Matrix along with the Equations of Motion and multiple satellite?s state information to determine the optimum trajectory to achieve the desired results. The results from the differential correction algorithm are very accurate for prograde orbits, as presented. The results allow for orbit design trade-offs, including satellites? initial inclinations, semi-major axes, as well as the ballistic coefficients. The results also provide an empirical method to determine the optimum ΔV$\mathrm{\Delta }V$ solution for the provided problem. Understanding that the minimum fuel solution lies with a semi-major axis ratio of 1, a very accurate empirical approximation is presented for semi-major axis ratio values less than and greater than 1. This work ultimately provides the generalized framework for applying the algorithm to a unique user defined maneuvering spacecraft scenario.     

弱撞击对接机构捕获系统运动空间研究

以弱撞击对接机构（LIDM）捕获系统的运动空间为研究对象,提出了影响运动空间的主要因素如驱动臂长度、转动副转角、结构框内径等对运动空间的限制。在此基础上,对捕获系统运动空间及其各截面进行了分析,并详细讨论了结构框内径对运动空间的影响,对LIDM的设计和优化具有重要意义。     

气体流场对C／C复合材料CVI致密化效果的影响

以丙烯为碳源气体,研究平板针刺预制体在不同倾斜角放置和不同进气方式条件下化学气相渗透（ CVI）工艺制备C／C复合材料的致密化效果。采用工业CT、浸泡介质法和偏光显微镜对沉积样品的密度分布、开孔孔隙率和织构分别进行表征。沉积102 h后,倾斜17°、前进气条件下试件的密度最高,达到1．45 g／cm－3。结果表明,试样由底端到顶端的密度是有小幅递增的,开孔孔隙率是逐渐减小的。4块试件热解炭的织构以光滑层为主,试样消光角的测量结果表明直立状态和倾斜17°、后进气状态热解炭织构取向度从底部到顶端有增大的趋势,这种织构的增长趋势与锥形回转体扩张段的材料设计相符合。     

空间领域用高性能聚酰亚胺薄膜现状与发展

新型材料发展是推动航天器发展的动力之一。聚酰亚胺薄膜被誉为新一代的“黄金膜”,广泛应用于航天航空、电子封装、新能源等重要领域。文章以航天器特殊环境用薄膜材料需求为背景,重点介绍几种新型聚酰亚胺薄膜特性及其在航天器中的应用,给出了高性能聚酰亚胺薄膜材料在空间领域里的应用前景。     

Space Life Science of China in 2013

In the past two years, space life science research in China is characterized by a wide area of basic researches for providing foundation for the future China Space Station. The effect of microgravity and radiation was further studied from physiology phenomena to the level of bio-molecule mechanisms. Chinese space life science is maturing in a new era of comprehensive development. Here, we review and summarize researches on space life sciences which were contributed by Chinese scientists.      

Challenges and perspectives of transport cargo vehicles utilization for performing research in free flight

Russian Progress transport cargo vehicles have successfully been used in different space station programs since 1978. At present time, they play an important role in the International Space Station (ISS) project. Main tasks performed by the transport cargo vehicle (TCV) in the station program are the following: refueling of the station, delivery of consumables and equipment, waste removal, station attitude control and orbit correction maneuver execution.