高风险场所安全防范系统不确定性分析与评估

安全防范系统运行的有效性是保证被防护对象的关键。然而,安全防范系统本身及其运行环境存在多种不确定性因素,这些不确定性的存在将导致场所内存在很大的风险性,如果分析处理不当会产生严重的后果。在给出物理系统不确定性模型的基础上,分析了安全防范系统中存在的不确定性因素,提出了层次分析和灰色理论相结合的方法,评估不确定风险因素的权重,实现对入侵报警系统不确定性的评估。     

工艺方法对某结构形式的强度影响研究

以某结构形式为例,研究了加工工艺对其强度、尤其是疲劳强度的影响,讨论了产生裂纹的原因,提出了工艺改进措施并得到了试验验证。结果表明,结构根部的应力集中是疲劳强度降低并出现裂纹的原因,加工工艺对疲劳强度有较大影响,改进工艺后,该结构根部应力集中程度降低,抗疲劳性能明显改善。     

泡沫夹层结构复合材料准静态压痕实验

研究了两种芯材高度的泡沫夹层结构复合材料在准静态压痕力下的损伤过程与形式,通过控制压头位移得到位移与接触力的关系曲线以及不同位移下的损伤形貌,比较了两种芯材的损伤过程.结果表明:损伤过程为泡沫塌陷、泡沫芯材出现裂纹、夹层板上蒙皮分层和芯材与下蒙皮脱粘;损伤形式为:厚芯材时裂纹与泡沫厚度方向成±45.,薄芯材时裂纹与泡沫厚度方向成90°.     

模糊层次分析法在航空公司安全评估中的应用

在某航空公司安全评估指标体系的基础上,构建了其安全因素的模糊一致性判断矩阵,并通过权重分析获得各安全因素的影响程度;以人的因素为例进行综合评价,通过建立模糊隶属度矩阵从而得到了模糊综合评价矩阵,由此得出航空公司安全评估中人的风险值,方法为航空公司进一步加强管理提供了依据,因而具有一定的实用价值和经济效益。     

一种信道系数服从高斯分布的8PSK信号信噪比盲估计算法

信噪比（SNR,Signalto Noise Ratio）是衡量通信系统性能的重要指标。针对传统信噪比估计算法要求利用训练序列或一帧数据范周内信道系数恒定等问题,提出了一种8PSK信号在信道系数服从高斯分布的衰落信道下肯信噪比估计算法。该算法取接收信号实部或虚部数值运算构成中间观测量,理论分析8PSK信号经过衰落信道后...     

航空发动机整机试验性能故障诊断系统设计

以航空发动机整机试验数据为研究对象,建立了1套气路性能故障诊断系统。该系统可对在研制和生产过程中的试验结果进行气路性能故障诊断分析;在分析发动机台架试车特点的基础上,阐述了该系统的设计功能和总体流程逻辑,并介绍了一些功能模块的流程设计;最后就系统的发展进行了讨论。经过带噪声的数值试验和真实试验数据验证,所建立的故障诊断系统诊断有效。     

双惯导自主定位系统方案探讨

介绍了双惯导定位系统的组成、功用和数据融合方式基本模式,提出了三种定位方案并进行了比较分析,阐述了利用车载惯导对弹上惯导的验证性能,通过双惯导互为备份使用使武器系统的机动性和生存能力得到提高.     

CubeSail: A low cost CubeSat based solar sail demonstration mission

CubeSail is a nano-solar sail mission based on the 3U CubeSat standard, which is currently being designed and built at the Surrey Space Centre, University of Surrey. CubeSail will have a total mass of around 3 kg and will deploy a 5 × 5 m sail in low Earth orbit. The primary aim of the mission is to demonstrate the concept of solar sailing and end-of-life de-orbiting using the sail membrane as a drag-sail. The spacecraft will have a compact 3-axis stabilised attitude control system, which uses three magnetic torquers aligned with the spacecraft principle axis as well as a novel two-dimensional translation stage separating the spacecraft bus from the sail. CubeSail’s deployment mechanism consists of four novel booms and four-quadrant sail membranes. The proposed booms are made from tape-spring blades and will deploy the sail membrane from a 2U CubeSat standard structure. This paper presents a systems level overview of the CubeSat mission, focusing on the mission orbit and de-orbiting, in addition to the deployment, attitude control and the satellite bus.     

Changes in hyperspectral reflectance signatures of lettuce leaves in response to macronutrient deficiencies

The adaptation of specific remote sensing and hyperspectral analysis techniques for the determination of incipient nutrient stress in plants could allow early detection and precision supplementation for remediation, important considerations for minimizing mass of advanced life support systems on space station and long term missions. This experiment was conducted to determine if hyperspectral reflectance could be used to detect nutrient stress in Lactuca sativa L. cv. Black Seeded Simpson. Lettuce seedlings were grown for 90 days in a greenhouse or growth chamber in vermiculite containing modified Hoagland’s nutrient solution with key macronutrient elements removed in order to induce a range of nutrient stresses, including nitrogen, phosphorus, potassium, calcium, and magnesium. Leaf tissue nutrient concentrations were compared with corresponding spectral reflectances taken at the end of 90 days. Spectral reflectances varied with growing location, position on the leaf, and nutrient deficiency treatment. Spectral responses of lettuce leaves under macronutrient deficiency conditions showed an increase in reflectance in the red, near red, and infrared wavelength ranges. The data obtained suggest that spectral reflectance shows the potential as a diagnostic tool in predicting nutrient deficiencies in general. Overlapping of spectral signatures makes the use of wavelengths of narrow bandwidths or individual bands for the discrimination of specific nutrient stresses difficult without further data processing.     

基于奇异值分解的铅锌冶炼过程故障二次分离

铅锌冶炼过程是非常复杂的反应工艺,工况变化较大,在线监控和故障诊断的难度很大。铅锌冶炼过程故障分离的目的是根据异常监控变量来判断故障类型,由于铅锌冶炼过程故障的特殊性,不同类型的故障可能导致相同的监控变量发生异常,采用传统的故障分离方法不能有效地判断故障类型。本文提出一种基于奇异值分解的故障二次分离的方法,通过进一步分析监控变量和故障类型的对应关系,解决故障分离不彻底的问题。试验结果证明了方法的有效性。