飞船环控生保系统主要故障模型分析及飞控对策

研究了载人飞船环控生保系统主要故障模型及飞控对策，根据系统工作原理建立了影响飞行安全的主要故障模型，如舱体泄漏、气源消耗过量和CO2净化失效等，应用该类模型对飞行数据进行实时处理，判断或预测故障，同时给出飞控对策。该方法已成功应用于首次载人飞行。     

摆动喷管支耳加强环的结构设计

本文对某大型固体发动机复合结构摆动喷管支耳环进行了分析，并在原有基础上进行改型设计，用半解析有限元法计算了位移及应力场，通过比较，提出了一种新的支耳环结构形式。     

基于最小二乘支撑矢量机的陀螺漂移预测

为提高支撑矢量机(SVM)标准算法速度和解决大规模问题,研究了SVM的最小二乘回归算法,并给出了计算模型。对陀螺仪漂移预测的结果表明,最小二乘SVM算法的精度与标准算法相近,并可解决大规模数据问题,在工程实践中具有其有效性和可行性。     

空间遥感器大口径反射镜支撑结构型式综述

文章针对空间遥感器大口径反射镜(口径大于500mm)总结了影响支撑结构设计的主要因素,介绍了几种主要的支撑结构型式,并讨论了支撑结构设计中所需要考虑的若干问题。     

结构对积分能量界限凸集载荷的响应分析

用支撑超平面法分析了多自由度振动系统对积分能界界限凸集荷载荷的响应，导出了时间上限为有限和无限两种情况下可达集的边界方程。最后给出了一个实例，得到了不同积分上限时的响应可达集，并将凸集响应与谐波响应及非平衡随机响应作了对照。     

石墨/环氧卫星天线支撑结构研制

文中介绍通信卫星天线系统石墨/环氧支撑结构的研制技术。该研究成果已多次应用于实际产品中,取得令人满意的结果。     

多型面复合材料支架成型技术

阐述了一种多型面复合材料支架整体成型技术,重点对工艺方案、模具设计、铺层工艺优化设计、固化方式进行了探究。结果表明:采用一体化成型方案,能够实现一种多型面复合材料支架的成型。通过工艺研究,突破了组合式模具设计,对称、阶梯过渡的铺层,真空辅助硅橡胶加压关键技术。产品具有较优的成型质量、尺寸精度及力学性能。复合材料制件内部无分层、疏松、孔隙等缺陷,纤维体积分数可控制在(60±3)%,孔隙率测试值均低于1.0%。产品安装面平面度优于0.3 mm,角度公差在±0.1°范围内。随炉试件力学性能高于设计指标,满足用户使用要求。     

An approach to multi-temporal MODIS image analysis using image classification and segmentation

This paper discusses an approach for river mapping and flood evaluation based on multi-temporal time series analysis of satellite images utilizing pixel spectral information for image classification and region-based segmentation for extracting water-covered regions. Analysis of MODIS satellite images is applied in three stages: before flood, during flood and after flood. Water regions are extracted from the MODIS images using image classification (based on spectral information) and image segmentation (based on spatial information). Multi-temporal MODIS images from “normal” (non-flood) and flood time-periods are processed in two steps. In the first step, image classifiers such as Support Vector Machines (SVM) and Artificial Neural Networks (ANN) separate the image pixels into water and non-water groups based on their spectral features. The classified image is then segmented using spatial features of the water pixels to remove the misclassified water. From the results obtained, we evaluate the performance of the method and conclude that the use of image classification (SVM and ANN) and region-based image segmentation is an accurate and reliable approach for the extraction of water-covered regions.     

Selection of classification techniques for land use/land cover change investigation

The concerns over land use/land cover (LULC) change have emerged on the global stage due to the realisation that changes occurring on the land surface also influence climate, ecosystem and its services. As a result, the importance of accurate mapping of LULC and its changes over time is on the increase. Landsat satellite is a major data source for regional to global LULC analysis. The main objective of this study focuses on the comparison of three classification tools for Landsat images, which are maximum likelihood classification (MLC), support vector machine and artificial neural network (ANN), in order to select the best method among them. The classifiers algorithms are well optimized for the gamma, penalty, degree of polynomial in case of SVM, while for ANN minimum output activation threshold and RMSE are taken into account. The overall analysis shows that the ANN is superior to the kernel based SVM (linear, radial based, sigmoid and polynomial) and MLC. The best tool (ANN) is then applied on detecting the LULC change over part of Walnut Creek, Iowa. The change analysis of the multi temporal images indicates an increase in urban areas and a major shift in the agricultural practices.     

低速风洞试验腹撑支架干扰分析

支架干扰修正在风洞试验数据修正体系中是很重要的环节,支撑系统对整个风洞流场的干扰是不可避免的,有些气动数据的测量值甚至会严重偏离真实结果,所以支架干扰修正方法一直是风洞数据处理的关键。常规的低速风洞试验一般采用腹撑支杆,对于支架干扰的修正一般采用试验映像两步法。对某型运输飞机低速风洞试验的支架干扰修正进行分析,数值模拟了支架对风洞流场环境的影响,研究了现行风洞数据支架干扰修正体系。