模糊聚类方法在PIO探测中的应用

用于驾驶员诱发振荡(PIO)探测的特征参数可以有效地反映出PIO时飞机在频域和时域的特征,利用模糊逻辑方法对特征参数进行辨识可以有效地识别出是否发生了PIO.模糊逻辑方法中的隶属函数直接反映了特征参数的特点,其设计决定了是否能有效地对PIO进行识别.为了设计有效的隶属函数,根据特征数据的特点采用球壳型模糊聚类算法对数据...     

基于模糊数学的民机机载气象雷达故障诊断

将模糊数学方法引入到民机机载气象雷达故障诊断中．提出由历史数据及专家择优综合确定模糊隶属度的方法,建立了模糊故障诊断模型,准确、快速地找出故障原因,实践证明该模型合理有效。     

基于改进模糊SVM的转子振动故障诊断技术

首先对常用的隶属度确定方法进行改进,提出了基于改进模糊支持向量机(FSVM)的融合故障诊断方法,并建立了改进FSVM故障诊断数学模型;然后,利用转子振动模拟实验台对四种典型的转子诊断故障进行模拟,并提取其故障信号特征;最后,通过实例计算分析,验证了该方法在转子振动故障诊断方面是可行的和有效的.     

A statistical study of C IV regions in 20 Oe-stars

In this paper, using the Gauss-Rotation model (GR model), we analyse the UV C IV resonance lines in the spectra of 20 Oe-stars of different spectral subtypes, in order to detect the structure of C IV region. We study the presence and behavior of absorption clouds and analyse their characteristics. From this analysis we can calculate the values of a group of physical parameters, such as the apparent rotational and radial velocities, the random velocities of the thermal motions of the ions, the Full Width at Half Maximum (FWHM), the optical depth, as well as the absorbed energy and the column density of the independent regions of matter, which produce the main and the satellite clouds of the studied spectral lines. Finally, we present the relations between these physical parameters and the spectral subtypes of the studied stars and we give our results about the structure of the C IV region in their atmosphere.     

数字全息测量超高速撞击碎片云实验研究

在中国空气动力研究与发展中心(CARDC)超高速碰撞中心(HIRC)7.6 mm超高速碰撞设备的基础上，搭建纳秒级脉冲激光数字全息系统。提出滤波片和衰减片组合布置，减弱超高速碰撞等离子体自发光、提高信噪比的方法。实验获得了2.25 mm铝球弹丸以4.0 km/s的速度撞击0.5 mm厚铝板形成碎片云的全息图。采用小波变换算法对碎片云全息图进行重建，得到超高速撞击碎片云的三维结构和碎片大小。碎片云的轮廓呈椭球型，分为碎片云的前端、核心和外壳，碎片主要分布在弹丸破碎形成的碎片云核心，存在大碎片，且分布较集中，对后板的损伤也严重     

基于Fuzzy理论的飞机故障诊断系统设计与实现

建立了某型飞机故障诊断的数学模型．开发了故障诊断系统的计算机软件．实现了以人机交互的方式在计算机上进行故障诊断，而且该诊断方法可以按飞机系统功能分解推广到各分系统。     

PID控制器参数的隶属函数自整定技术及其应用研究

Ｐ Ｉ Ｄ 控制技术在工业过程控制中得到了广泛应用，但传统的 Ｐ Ｉ Ｄ 控制器不具有参数的在线整定功能，当系统工作条件较差时，难以满足控制要求，从而影响了控制品质的进一步提高。本文应用模糊数学中的隶属函数， 以工程施工机械中大量应用的液压阀控油缸为被控对象，建立数学模型和试验系统，实现 Ｐ Ｉ Ｄ 控制器参数的在线自整定。文中对其理论方法、计算机仿真和应用研究进行了论述。     

模糊数学在考试成绩分析中的应用

本文将模糊集合理论应用于考试分析，提出了一种对考试成绩的总体分布进行估计的较合理、有效的方法。     

Properties of Interplanetary Coronal Mass Ejections

Interplanetary coronal mass ejections (ICMEs) originating from closed field regions on the Sun are the most energetic phenomenon in the heliosphere. They cause intense geomagnetic storms and drive fast mode shocks that accelerate charged particles. ICMEs are the interplanetary manifestations of CMEs typically remote-sensed by coronagraphs. This paper summarizes the observational properties of ICMEs with reference to the ordinary solar wind and the progenitor CMEs.     

Geoeffectivity of Coronal Mass Ejections

Coronal mass ejections and post-shock streams driven by them are the most efficient drivers of strong magnetospheric activity, magnetic storms. For this reason there is considerable interest in trying to make reliable forecasts for the effects of CMEs as much in advance as possible. To succeed this requires understanding of all aspects related to CMEs, starting from their emergence on the Sun to their propagation to the vicinity of the Earth and to effects within the magnetosphere. In this article we discuss some recent results on the geoeffectivity of different types of CME/shock structures. A particularly intriguing observation is that smoothly rotating magnetic fields within CMEs are most efficient in driving storm activity seen in the inner magnetosphere due to enhanced ring current, whereas the sheath regions between the shock and the ejecta tend to favour high-latitude activity.