线性仪表静态不确定度的统计估算

侧重分析静态回归直线误差模型及工程应用的可行性 ,通过例证比较说明统计估算法的优势。阐述环境温度引起仪表回归直线的平移和旋转 ,导出温度误差为零位温漂及灵敏度温漂相对值的代数和 ;该误差模型具有通用性 ,可推广至其它环境因素对回归直线影响的分析。介绍时漂的基本概念及经验公式。强调静态不确定度应包括回归直线误差及环境因素影响的误差。     

线性回归模型的最小均方误差估计

在未知线性回归模型测量误差的协方差矩阵和非零均值(由非模型化误差及测量设备系统性误差组成)情况下,提出一种回归参数的“最小均方误差估计“,证明了其优良性。还对稳健估计、测量精度分析中随机与系统性误差分离、白塞尔公式与变量差分法统计随机方差结果不一致等问题,作了深入研究分析。     

广义回归神经网络在MC-CDMA空频多用户检测中的应用

简要分析介绍反传神经网络、径向基神经网络与广义回归神经网络。广义回归神经网络与传统的基于反传算法的神经网络相比,具有收敛速度快,鲁棒性强等优点。将广义回归神经网络技术援引到MC-CDMA系统的空频多用户检测中,进行收敛性和误码率的仿真计算。仿真结果表明,广义回归算法比反传算法收敛速度快,广义回归神经网络空频多用户检测的误码率比单天线多用户检测的低。     

红外气体分析中环境影响的补偿方法研究

环境温度、总压影响是红外气体分析中难以有效解决的主要问题之一，本文以二氧化碳气体为测量对象，采用实验手段，单片机和数据自理技术建立了环境温度、总压对红上气体分析影响的补偿数学模型和求解方法，并进行了实验验证，研究的内容为红外气体分析中影响影响的外补偿开始辟了一条新的途径，具有广阔的应用前景。     

TiAlN 涂层钻头钻削钛合金的实验研究

采用Ti Al N涂层硬质合金麻花钻对钛合金(TC4)进行钻削试验,研究了切削用量对轴向力、加工孔壁表面粗糙度和切屑形态的影响。结果表明:轴向力随着进给量的增加而增加,轴向力随着转速的增加而减小。运用指数公式模型对轴向力实验结果进行回归分析,得到轴向力与转速以及进给量之间的关系式,并对该方程进行了检验验证误差均小于7%;随着进给量的增加断屑能力逐渐增加,切屑长度逐渐变短。在低转速和进给量为50 mm/min时切屑形态为短螺旋形切屑,此时排屑和孔壁粗糙度均为最佳。     

RECAT间隔标准的差异性对比与计算分析

尾流是影响机场容量的重要因素之一,在保证安全前提下缩减尾流间隔能增加机场繁忙时刻航空器进离场架次,进而提高机场容量.美国和欧洲提出尾流标准重新分类(RECAT)概念,并在一些机场试运行,取得良好效果.基于国内某机场一周内航空器起降机型架次,将其重新分类,对比在现行ICAO和RECAT标准下的加权尾流间隔,证明在RECAT标准下尾流间隔将会缩减.通过改变不同航空器机型占比,分析机场容量变化,得出机场容量随航空器占比变化明显,对空管安全运行和机场及跑道运行效率提高具有实际参考价值.     

Transient simulation of a differential piston warm gas self-pressurization system for liquid attitude and divert propulsion system

In order to obtain the dynamic characteristics of a differential piston warm gas selfpressurization system for liquid attitude and divert propulsion system, a transient model is developed using the modular modeling method. The system includes the solid start cartridge,pressure-amplified tank with liquid monopropellant, liquid regulator, gas generator, and pipes.The one-dimensional finite-element state-variable model is applied to the pipes and the lumped parameter method is adopted for the other modules. The variations of the system operation parameters over time during the startup, steady-state, and pulsing operational processes are obtained from the transient model, and the characteristics of starting time changing with different system parameters are also analyzed. It is shown that the system startup process can be divided into three distinct processes. The starting time monotonically changes with variations of the liquid regulator parameters, first decreasing and then increasing with the mass change of the solid propellant charge of the start cartridge, initial gas cavity volume of the pressure amplified tank and initial gas cushion of the propellant tank. The starting time can be reduced to less than 1.0 s(0.68–0.75 s for the current system). For meeting the deviation requirements of ±10% of the steady-state propellant tank pressure, the positive deviation requirement is assured by the self-locking pressure and the negative deviation can be assured within an allowable maximum propellant tank volume flowrate(1.6 times the design value for the proposed system) for downstream thrusters for a designed system. The results from the simulation are useful as a guide for further system design and testing.     

Estimation of probability of occurrence of F1 layer or L condition using tables and electron density profile models

An algorithm is proposed for evaluation of the probability of occurrence of an F1 layer or L condition, based on tables. Observations independent of the tables database are used for comparison between the estimated probability of occurrence, the formulation used at present in IRI, and the occurrence actually observed. The importance of the inclusion of L condition in the electron density profile model is shown.     

The accuracy of data from ionosondes for the estimation of hmF2 and the identification of global change in the ionosphere

A long temporal series of simulated ionograms was generated with a superimposed secular variation of −14 km/century on the h_mF2 parameter. These ionograms were interpreted by the automatic scaling program Autoscala. By applying four different empirical formulas, four artificial series of h_mF2 were generated and then processed with the same methods used by other authors for real data sets. Data analysis of the simulated ionograms revealed the artificially imposed long-term trend. These results lead to the conclusion, that regardless of the empirical formula used, the accuracy of h_mF2 from ionosonde measurements would be adequate to observe a long-term trend of −14 km/century.     

How Galactic Cosmic Ray models affect the estimation of radiation exposure in space

The radiation environment in space is a major concern for human spaceflight because of the adverse effects of high levels of radiation on astronauts’ health. Therefore, it is essential to perform radiation risk assessments already during the concept studies of a manned mission. Galactic Cosmic Rays (GCR) have been identified to be one of the primary sources of radiation exposure in space.