单一基准径向圆跳动误差的新测量法

用传统的测量方法不能得到单一基准径向圆跳动误差的准确值。根据单一基准径向圆跳动误差的定义建立了该项误差的正交最小二乘评定数学模型。在万能工具显微镜上得到了采样数据并给出了微机数据处理结果。     

平面直线平行度误差的解析评定法与微机数据处理

本文建立了平面直线平行度误差的三种不同评定方法的数学模型。依据该数学模型,利用微型电子计算机处理数据,具有速度快、精度高的特点。     

直角坐标采样时同轴度误差的最小二乘及最小区域评定法与仿真分析

简述了直角坐标采样时 ,同轴度误差的最小二乘及最小区域评定法数学模型 ,并用计算机进行仿真分析。结果表明 ,所建立的数学模型具有编程简单 ,计算误差较小等特点。     

基于三维最小二乘方法的空间直线度误差评定

空间直线度误差是评定机械产品精度的一项重要指标,实际工程中对空间直线度误差评定算法的精度要求越来越高.为了准确评定空间直线度误差,参照国家标准(GB/T 11336—2004),采用三维最小二乘方法建立了空间直线拟合的数学模型,并给出了该数学模型的精确解.基于最小二乘拟合中线,采用空间投影、坐标变换和格点法求得最小二乘中线包容圆柱面直径.采用数值算例验证了新方法的有效性.提出的空间直线度误差评定方法精度高、鲁棒性好且易于编程实现.     

孔组位置度误差的测量和评定

建立了网格分布孔组位置度误差评定数学模型,经校核证明该算法符合形位公差标准的规定。     

直角坐标采样时端面圆跳动误差的新测量法

用传统的测量方法不能得到端面圆跳动误差的准确值。根据端面圆跳动误差定义 ,建立了在直角坐标采样时该项误差的最小二乘评定法数学模型 ,并用计算机进行仿真研究。结果表明 ,所建立的数学模型具有编程简单 ,计算误差较小等特点。文中所建立的数学模型为研制形位误差虚拟测量系统提供了理论基础。     

用最小二乘法评定圆柱度误差的理论与算法

建立了用最小二乘法评定圆柱度误差的理论与算法,并对圆柱度误差进行了定量分析和定性分析,给出了误差分离的定量计算公式,将其分离成形状误差、参数误差和方向误差,并指出了每种误差的补偿原则。所推导的数学模型简单、明了,具有推广价值。     

多点法测量球度误差和圆柱度误差的数学模型

通过分析和研究国内外误差分离技术的有关文献,建立了多点法测量和无约束最优化方法评定工件球度误差和圆柱度误差的数学模型。     

平面度误差原始测量数据的平差处理及微机数据处理

本文介绍了平面度误差原始测量数据平差处理的方法,给出了微机数据处理的高级语言程序的流程框图,将平差处理的计算结果与按平板检定规程计算的结果进行了比较,并分析了两种处理方法的精度。     

引力场模型引起的卫星轨道径向误差的估计结果

本文给出几个最新的地球引力场模型误差引起的卫星轨道径向误差的估计结果,表明JGM3和TEG3优于其它模式,现有模式引起的低轨道卫星的轨道误差较大.     

面对面平行度误差的数学模型

简要地叙述了面对面平行度误差的正交最小二乘评定法和最小条件评定法,并分别建立了评定面对面平行度误差的数学模型。该原理可扩展到其他平行度误差的评定。     

面对面倾斜度误差的解析评定

简要地叙述了面对面倾斜度误差的最小二乘评定和最小条件评定法,并分别建立了评定面对面倾斜度误差的数学模型。文中的评定原理可扩展到其他倾斜度误差的评定。     

The impact of different background errors in the assimilation of satellite radiances and in-situ observational data using WRFDA for three rainfall events over Iran

Satellite radiances and in-situ observations are assimilated through Weather Research and Forecasting Data Assimilation (WRFDA) system into Advanced Research WRF (ARW) model over Iran and its neighboring area. Domain specific background error based on x and y components of wind speed (UV) control variables is calculated for WRFDA system and some sensitivity experiments are carried out to compare the impact of global background error and the domain specific background errors, both on the precipitation and 2-m temperature forecasts over Iran. Three precipitation events that occurred over the country during January, September and October 2014 are simulated in three different experiments and the results for precipitation and 2-m temperature are verified against the verifying surface observations. Results show that using domain specific background error improves 2-m temperature and 24-h accumulated precipitation forecasts consistently, while global background error may even degrade the forecasts compared to the experiments without data assimilation. The improvement in 2-m temperature is more evident during the first forecast hours and decreases significantly as the forecast length increases.     

Ionosphere modelling for Galileo single frequency users: Illustration of the combination of the NeQuick model and GNSS data ingestion

The ionospheric effect remains one of the main factors limiting the accuracy of Global Navigation Satellite Systems (GNSS) including Galileo. For single frequency users, this contribution to the error budget will be mitigated by an algorithm based on the NeQuick global ionospheric model. This quick-run empirical model provides flexible solutions for combining ionospheric information obtained from various sources, from GNSS to ionosondes and topside sounders. Hence it constitutes an interesting simulation tool not only serving Galileo needs for mitigation of the ionospheric effect but also widening the use of new data.