空间飞行器综合定轨与参数分析软件COMPASS的研发——需求分析

对空间飞行器精密定轨软件COMPASS的开发作了详细的需求分析,包括软件功能、定轨模式、可分析的数据类型、参数解算、运行环境等,以便为COMPASS软件系统的设计提供依据。     

水下航行体动响应影响因素敏感性分析

水下航行体在出水过程中,由于表面空泡发生溃灭,会引起结构的瞬态响应。结构动响应的大小与航行体所受流体外力直接相关,而空泡形态、航行体姿态、发射条件等都会影响航行体周围流场,使航行体所受流体动力十分复杂。本文从统计的角度出发,采用方差分析的办法,对航行体出水过程动响应影响因素进行了敏感性分析,并通过不同工况下模型试验数据,对出水速度、波浪、空泡溃灭速度、攻角等因素进行了统计分析。     

基于Bayes-Normal模型的小子样性能可靠性评定

通过退化量分布函数研究性能退化是基于退化轨道进行性能可靠性分析的有效补充。针对试验小子样的特点,在图形法基础上运用Bayes方法,对性能可靠性的统计推断方法进行了研究,并在理论推导的基础上,举例说明了该方法的有效性。     

一种新的直流电压源增益校准方法设计与分析

针对校准实验室直流电压源量程增益校准的问题,提出了采用参考标准源和数字多用表直接校准DUT量程增益的新方法。此方法校准误差只与所选设备技术指标有关,便于在一般校准实验室开展且可以实现自动校准。实验结果表明,新方法与传统的电阻分压式方法相比,二者在校准精度上有较好的一致性,在1V~1000V量程范围,新方法的校准结果扩展不确定度可达到0.3μV/V.     

On the application of Exploratory Data Analysis for characterization of space weather data sets

This paper presents an overview of the mathematical foundations for techniques in Exploratory Data Analysis (EDA) for the purpose of investigating the relationships among the numerous variables in large sets of multivariate space weather data. Specifically, we cover techniques in Principal Components Analysis (PCA) and Common Factor Analysis (CFA). These techniques are illustrated using space weather activity indices collected during the year 2002 and the corresponding noon-time hmF2 data from the International Reference Ionosphere (IRI). A CFA is used to categorize the activity indices, and a PCA is used to derive two macro-indices of activity to ascertain the strength of solar and geomagnetic activity. These macro-indices are then used to compare and contrast IRI’s noon-time hmF2 values at six different geographic stations. It was found that the correlation between hmF2 and the macro-indices more accurately represented the variation of this correlation with latitude found in previous studies than if we used an isolated conventional index, such as SSN and AE. We also found that the daily maximum value of the Polar Cap Index was dependent on both solar and geomagnetic activity, but the closely-related cross-Polar Cap Potential was solely associated with elevated levels of geomagnetic activity, which is a unique result compared to previous studies. We argue that the discrepancy can be explained by the difference in experiment designs between the two studies. This paper demonstrates the usefulness of EDA in space weather studies of large multivariate data sets.     

武器装备系统效能评估方法研究

系统效能是指在规定时间和条件下,满足特定任务要求的程度。目前许多机构对系统效能评估方法展开了深入研究,并取得了一定的研究成果。在简要介绍系统效能评估的基础上,重点综述了几种经典的和一些新兴的系统效能评估方法,如层次分析法AHP(Analytic Hierarchy Process)、ADC(Availability Dependability Capacity)分析法、系统效能分析法SEA(System Effectiveness Analysis)和支持向量机评估法;阐述的内容包括方法的基本思想、主要步骤、应用场景、研究进展及其相应的改进,分析了每种方法的优势与不足,以及应用中需注意的问题,对后期如何进行效能评估以及采用何种效能评估方法具有一定的指导作用。     

基于环形板理论的机匣安装边密封特性分析方法研究

针对现代航空发动机机匣安装边密封设计与泄漏评估问题,本文开展了不同安装边结构参数及机匣所受载荷对安装边密封特性影响的研究.根据环形板理论,推导并建立了轴向力、内部气体压力等载荷与安装边形变的关系,据此研究了安装边厚度、高度及螺栓预紧力等对安装边密封性能的影响规律.本文得出安装边根部轴向位移理论解与有限元计算结果相对误差...     

高职教育的波特模型分析

高职院校目前面临着多方面生存与发展的压力。运用波特模型对高职教育进行分析，有利于全面而客观地认识高职院校面临竞争的现状，并有助于找到高职院校生存和发展之路。     

Research on Auto-detection for Remainder Particles of Aerospace Relay Based on Wavelet Analysis

Aerospace relay is one kind of electronic components which is used widely in national defense system and aerospace system. The existence of remainder particles induces the reliability declining, which has become a severe problem in the development of aerospace relay. Traditional particle impact noise detection (PIND) method for remainder detection is ineffective for small particles, due to its low precision and involvement of subjective factors. An auto-detection method for PIND output signals is proposed in this paper, which is based on direct wavelet de-noising (DWD), cross-correlation analysis (CCA) and homo-filtering (HF), the method enhances the affectiv-ity of PIND test about the small particles. In the end, some practical PIND output signals are analysed, and the validity of this new method is proved.     

基于故障树与马尔科夫分析模型的发动机系统安全性评估

安全性评估是发动机适航验证的重要方法之一,故障树与马尔科夫分析方法是安全性评估常用的方法,两种方法在安全性评估的不同时机具有各自的特点。针对故障树与马尔科夫在安全性评估中的应用时机进行了深入的研究,分析结果表明：对于失效率为常数的顺序相关的系统,若部件是主动失效部件(即姿伊t较小),应用故障树与马尔科夫分析方法均可准确评估系统的失效概率,采用故障树可以减少运算的复杂性;若部件是潜在失效部件,由于部件暴露时间较长(即姿伊t较大),使用马尔科夫的分析方法可以更精确的评估系统的安全性。