温度传感器辐射修正校准的准确牲研究

为了确定温度传感器辐射修正校准的准确性，需要对温度传感器辐射修正校准结果进行对比及不确定度分析。本文介绍了在热校准风洞中进行温度传感器辐射修正校准的结果，并做了对比研究和不确定度分析。     

攻角试飞测试基准的误差修正

阐述了攻角测量误差的成因和攻角试飞校准的必要性。选定机头空速管攻角传感器为攻角试飞的测试基准，分析其攻角探测特性，并运用细长旋成体理论重点计算了机体绕流对攻角测量的影响量。探讨了攻角试飞测试基准的误差修正问题。     

准分子激光矫正屈光不正的原理及其实现

研究了准分子激光治疗屈光不正的原理及其实现方法，介绍了准分子激光治疗屈光不正的原理及其种类。在初始角膜模型假设的基础上，提出了能够用于近视、远视和散光等屈光手术的数学模型，计算出切削量和切削的层数，并给出了相应的算法框图。就准分子激光角膜切削机理和“飞点扫描”等关键技术进行了研究。研究成果直接用于准分子激光眼科治疗机，并给出了准分子激光眼科治疗机的原理框图。实验和临床数据表明。取得了满意的手术效果。     

Effect of wall suction on leading edge contamination

This paper is devoted to an experimental study of swept wing leading edge contamination by the turbulence emanating from the wing-wall junction. The main objective is to delay the contamination onset by applying surface suction along the attachment line. Two series of experiments are described; the first one was performed in a small wind tunnel at CERT ONERA, the second one was carried out in the F2 wind tunnel at Le Fauga Mauzac centre. Hot film measurements showed that leading edge contamination could be delayed up to very large Reynolds numbers. We also studied the behaviour of the relaminarized boundary layer downstream of the sucked region, along the span as well as in the chordwise direction.     

壁面摩擦对风洞侧壁干扰的影响

本文研究了摩擦对风洞侧壁干扰的影响。在以Barnwell为代表开展的一系列侧壁干扰研究中,所有工作都未计及摩擦的影响。我们认为,Barnwell等人的这一处理理论上有缺陷。对此,本文用Karman-Pohlhausen方法对侧壁边界层作了分析,指出摩擦对侧壁干扰有不同程度的影响,具体取决于Pohlhausen参数B的大小;B越小,影响越大。Barnwell略去摩擦项的结果只对应于分离边界层情况,而事实上Barnwell处理的是附着边界层。通过这一分析,本文建立了有摩擦影响的侧壁干扰修正的新形式;考虑到多种因素的影响,初步建议参数B按中间值取为B=3～4。最后,就修正参数δ~*的确定作了一定讨论。     

考虑多因素的可修系统任务可靠性分配方法

在实际工程中,系统常常是由串联、并联、旁联和表决等模型混合而成的复杂可修系统,目前此类系统的可靠性分配方法多采用等分分配等方法,得到的分配结果往往误差较大。本文提出了一种考虑维修、故障逻辑等多因素影响的可修系统任务可靠性分配方法。该方法以系统故障率为待分配指标,首先对包含维修影响的故障率进行转换,然后利用考虑故障逻辑的评分分配法进行分配,最后通过备件系数进行修正,获得分配结果。新方法能够为在实际工程中可修系统的任务可靠性分配提供一种简便易行的方法。      

Using TensorFlow-based Neural Network to estimate GNSS single frequency ionospheric delay (IONONet)

In the last 20?years, and in particular in the last decade, the availability of propagation data for GNSS has increased substantially. In this sense, the ionosphere has been sounded with a large number of receivers that provide an enormous amount of ionospheric data. Moreover, the maturity of the models has also been increased in the same period of time. As an example, IGS has ionospheric maps from GNSS data back to 1998, which would allow for the correlation of these data with other quantities relevant for the user and space weather (such as Solar Flux and Kp). These large datasets would account for almost half a billion points to be analyzed. With the advent and explosion of Big Data algorithms to analyze large databases and find correlations with different kinds of data, and the availability of open source code libraries (for example, the TensorFlow libraries from Google that are used in this paper), the possibility of merging these two worlds has been widely opened. In this paper, a proof of concept for a single frequency correction algorithm based in GNSS GIM vTEC and Fully Connected Neural Networks is provided. Different Neural Network architectures have been tested, including shallow (one hidden layer) and deep (up to five hidden layers) Neural Network models. The error in training data of such models ranges from 50% to 1% depending on the architecture used. Moreover, it is shown that by adjusting a Neural Network with data from 2005 to 2009 but tested with data from 2016 to 2017, Neural Network models could be suitable for the forecast of vTEC for single frequency users. The results indicate that this kind of model can be used in combination with the Galileo Signal-in-Space (SiS) NeQuick G parameters. This combination provides a broadcast model with equivalent performances to NeQuick G and better than GPS ICA for the years 2016 and 2017, showing a 3D position Root Mean Squared (RMS) error of approximately 2?m.     

基于隐式温度修正的二维热线风速仪校准方法

热线风速仪主要用于湍流流场测量。热线测量的主要误差来源是由环境温度变化导致的热线校准参数的变化。Brunn提出的传统温度效应修正方法在环境温度变化较大的情况下会带来明显的误差。本文经过理论推导,提出了一种新的基于隐式温度修正的二维热线风速仪校准方法,并开展了热线校准实验研究。结果表明:当环境温度变化在4℃范围内时,本文提出的方法与Brunn方法的测量精度相当;当环境温度变化超过4℃时,本文提出的方法的测量精度远高于Brunn方法。     

存储系统中两级纠错编码方案设计与验证

针对恶劣空间环境设计了一种两级存储编码方案，以应对航天系统中存储单元发生多个单粒子翻转（SEU）错误的问题。方案设计的主要思想是根据简单低纠错编码组合出高容错编码，通过编码组合，使用字间编码来纠正字内编码无法纠正的错误，从而使存储系统更加可靠；对两级编码方案提出若干优化策略，以提高编解码性能，使得两级冗余编码效率接近于原始字内编码。实验结果表明，提出的两级冗余编码方案能够较好解决存储系统中发生多个单粒子翻转错误的问题。即与单一的字内编码相比，两级纠错编码方案能够大大降低星上存储系统出现不可修复的概率，保证了星上存储系统的可靠运行。     

基于改进FCM的北斗三频组合观测值选取

以北斗卫星导航系统三频双差为基础探讨了组合观测值及误差,针对以往采用聚类方法在研究GPS三频组合数据过程中的不足,提出了基于距离修正的增量模糊C均值算法.通过调节因子有效地修正了样本中心与聚类中心的距离,获得合理的隶属度,从而得到正确的分类;构造了基于距离修正的聚类有效性指标,自动获取最佳聚类数,避免了人为确定聚类数的不合理性;在此基础上引入增量的思想,数据增加时以原有的数据集为基础,根据阈值进行归类,不需要重新进行初始计算.通过矩阵变换法及实例验证了该方法的可行性和可靠性.