波音健康管理工程环境浅析

健康管理工程环境(HMEE)是由项目分析与建模环境、开发环境、使用环境等三部分构成的一个开放式健康管理集成与实验平台,将来自于工业部门、学术界以及政府技术基地的健康管理技术集成起来,转化成成熟、实用的飞行器综合健康管理(IVHM)系统.本文简要介绍了构成HMEE的三部分的目标和功能,以及所提供的相关工具、技术和过程.     

飞行管理系统下降路径构建及应用研究

在飞行管理系统下降设计中，通过下降路径的构建可为接近目的机场提供一个垂直轨迹，使飞机遵守终端区各种限制要求，从而精确控制下降路径，满足安全性要求。本文分析了下降路径的定义及其在典型机型中的构建方法，给出了下降路径的描述方法及实现途径，并对具体机型中的应用做了简要介绍。     

排列图在实验室质量管理中的应用

利用排列图法对实验室2005至2009年的内部审核不符合项进行了分析。实验室内部审核不符合项主要集中在记录的控制、设备的管理、测试方法及确认、文件的控制四个方面,不符合项产生的根本原因是人为因素。运用排列图法分析实验室质量问题的产生原因简便、可靠、有效。     

技术注释标准化管理研究

主要对技术注释标注的标准化、规范化进行探讨,提出利用数据库技术对技术注释进行标准化管理,并给出了实际可行的建库思路,指导了技术注释数据库系统的整个建设过程.     

一种双余度非相似容错计算机软件设计

非相似余度设计是容错技术的重要设计方法,在很多领域都有广泛应用,在航空领域主要应用于飞行控制系统.在非相似双机架构下分析现有且适宜的操作系统,并在此基础上构建适合机载飞控系统的底层运行框架和任务调度算法,在此框架下研究双机余度管理的关键技术.研究结果表明,所设计的软件框架与算法满足飞控系统要求.     

基于民航团队旅客销售的组合预测方法分析

利用Matlab分别用回归分析算法、BP神经网络算法、最小二乘支持向量机算法和组合预测算法对民航团队销售数据进行预测和比较分析,期望为民航销售人员提供更加精准的预测信息,以获得更高的航线收益.结果显示神经网络、支持向量机和组合预测3种算法比航空公司常用的回归分析预测精准度有了明显的提高.支持向量机预测精度相对神经网络稍低,却拥有更强的泛化能力.组合预测能避免单一预测方法的误差,更加适合航线销售人员的实际操作.     

先进的热防护方法及在飞行器的应用前景初探

随着航天技术的发展,飞行器的热环境面临着新的变化,对热防护提出了挑战。对各类主动热防护方式的原理、研究进展和应用现状进行了归纳总结。结合飞行器未来发展,提出了适应于未来应用的基于相变工质的对流冷却、自适应膜相变冷却和发汗冷却的系统性主动热防护方式。并以此为基础,提出了结合被动、半被动和主动热防护的飞行器全时域综合热管理思路。     

坐标测量机的验收检测标准及校准规范的再探讨

发现GB/T 16857 eqv ISO 10360《产品几何量技术规范(GPS)坐标测量机的验收检测和复检检测》及JJF 1064—2004《坐标测量机校准规范》存在的不足。提出在GB/T 16857 eqv ISO 10360系列标准中增补测量软件包的质量要求和测试标准的建议。以实现对测量软件质量的评价,达到测量机性能的全面验收检测。     

试验数据管理系统的需求与实现

现在的工程试验产生大量的试验数据,而这些试验数据在储存和使用中存在着大量的问题。试验数据管理系统(TDM)通过梳理和优化试验流程,可以提高试验数据的利用率。     

Earth observation from space – The issue of environmental sustainability

Remote sensing scientists work under assumptions that should not be taken for granted and should, therefore, be challenged. These assumptions include the following:1. Space, especially Low Earth Orbit (LEO), will always be available to governmental and commercial space entities that launch Earth remote sensing missions.2. Space launches are benign with respect to environmental impacts.3. Minimization of Type 1 error, which provides increased confidence in the experimental outcome, is the best way to assess the significance of environmental change.4. Large-area remote sensing investigations, i.e. national, continental, global studies, are best done from space.5. National space missions should trump international, cooperative space missions to ensure national control and distribution of the data products.At best, all of these points are arguable, and in some cases, they're wrong. Development of observational space systems that are compatible with sustainability principles should be a primary concern when Earth remote sensing space systems are envisioned, designed, and launched. The discussion is based on the hypothesis that reducing the environmental impacts of the data acquisition step, which is at the very beginning of the information stream leading to decision and action, will enhance coherence in the information stream and strengthen the capacity of measurement processes to meet their stated functional goal, i.e. sustainable management of Earth resources. We suggest that unconventional points of view should be adopted and when appropriate, remedial measures considered that could help to reduce the environmental footprint of space remote sensing and of Earth observation and monitoring systems in general. This article discusses these five assumptions in the context of sustainable management of Earth's resources. Taking each assumption in turn, we find the following:(1) Space debris may limit access to Low Earth Orbit over the next decades.(2) Relatively speaking, given that they're rare event, space launches may be benign, but study is merited on upper stratospheric and exospheric layers given the chemical activity associated with rocket combustion by-products.(3) Minimization of Type II error should be considered in situations where minimization of Type I error greatly hampers or precludes our ability to correct the environmental condition being studied.(4) In certain situations, airborne collects may be less expensive and more environmentally benign, and comparative studies should be done to determine which path is wisest.(5) International cooperation and data sharing will reduce instrument and launch costs and mission redundancy. Given fiscal concerns of most of the major space agencies – e.g. NASA, ESA, CNES – it seems prudent to combine resources.