应召反潜时无人机监听航路的规划

浮标阵是航空反潜模式下应召搜潜时常用的一种反潜手段。在假设浮标阵已被布设完毕并且由无人机对其进行实时监听的前提下,文章重点研究了无人机监听航线的规划问题。首先,研究了浮标阵的布设及其特点,分析了无人机航路的代价问题;接着,根据浮标阵的特点规划出了无人机监听方形浮标阵的监听航路飞行方案,并对所规划航路的技术指标进行了分析和研究;最后,对无人机的监听航路进行了计算,计算结果表明文中所规划的方案是可行的,这为无人机监听浮标阵的实际应用提供了参考。     

基于虚拟仪器的切削力监控技术研究

研制了一种基于虚拟仪器界面、供现场使用的高精度、高效率的金属切削过程监控系统。研究中采用回归分析、叠加原理及抛物线插值的方法建立切削力模型 ,并基于该模型进行参数估计来提取切削状态特征 ,进而监控整个切削过程     

一种起落架载荷谱相似性判别方法

起落架结构的寿命监控对保障其安全性与经济性具有重要作用,但由于地面谱复杂的高低载荷非线性交互作用,难以准确计算单机谱的损伤。以当量损伤计算方法为基础,通过对寿命监控中的单机谱进行初步筛选,判别单机谱与基准谱的相似程度,进而分析损伤计算方法的适用性。提出了一种基于时间序列分析中的动态时间弯曲方法的起落架载荷谱相似性判别方法,进行了基准谱与4个单机谱下的疲劳实验,通过分析损伤计算误差与起落架载荷谱相似距离的关系,验证所提载荷谱相似性判别方法的合理性。      

Vibration signal-based chatter identification for milling of thin-walled structure

In high speed milling aeronautical part, tool condition monitoring(TCM) is very important, because it is prone to get a chatter owing to the low stiffness of thin-walled structures. And the TCM is key technology for automated machining. In this paper, aiming to chatter monitoring in thin-walled structure milling, a variational mode decomposition – energy distribution(VMD-ED)method is proposed to improve the identification accuracy. And a moving average root mean square – mean value(MARMS-MV) ide...     

Real-time clock comparison and monitoring with multi-GNSS precise point positioning: GPS,GLONASS and Galileo

The precise point positioning (PPP) technique is widely used in time and frequency applications. Because of the real-time service (RTS) project of the International GNSS Service, we can use the PPP technique for real-time clock comparison and monitoring. As a participant in the RTS, the Centre National d’Etudes Spatiales (CNES) implements the PPPWIZARD (Precise Point Positioning with Integer and Zero-difference Ambiguity Resolution Demonstrator) project to validate carrier phase ambiguity resolution. Unlike the Integer-PPP (IPPP) of the CNES, fixing ambiguities in the post-processing mode, the PPPWIZARD operates in the real-time mode, which is also called real-time IPPP (RT-IPPP). This paper focuses on applying the RT-IPPP for real-time clock comparison and monitoring. We review the principle of real-time clock comparison and monitoring, and introduce the methodology of the RT-IPPP technique. The observations of GPS, GLONASS and Galileo were processed for the experiments. Five processing modes were provided in the experiment to analyze the benefits of ambiguity resolution and multi-GNSS. In the clock comparison experiment, the average reduction ratios of standard deviations with respect to the G PPP mode range from 9.7% to 35.0%. In the clock monitoring experiment, G PPP mode can detect clock jumps whose magnitudes are larger than 0.9 ns. The RT-IPPP technique with GRE PPP AR (G) mode allows for the detection of any clock jumps larger than 0.6 ns. For frequency monitoring, G PPP mode allows detection of frequency changes larger than 1.1 × 10⁻¹⁴. When the RT-IPPP technique is applied, monitoring with GRE PPP AR (G) mode can detect frequency changes larger than 6.1 × 10⁻¹⁵.     

Characterization of ionospheric amplitude scintillations using wavelet entropy detrended GNSS data

The extensive monitoring networks of Global Navigation Satellite System (GNSS) ionospheric scintillation have been established to continuously log observation data. Further, the amplitude scintillation index and the phase scintillation index, which are derived from scintillation observations, are anticipated to accommodate the accuracy requirement of both the user level and the monitoring station level. However, raw scintillation observations essentially measure superposed waveform impairments of GNSS signals propagating through ionosphere and troposphere. It implies that fluctuations of raw scintillation observations are caused by multiple factors from the entire radio propagation environment. Hence, it is crucial to characterize ionospheric scintillations from GNSS observation data. And the characterization is implemented through extracting fluctuations of raw observations merely induced by ionospheric scintillations. Designed to address this problem by means of Fourier filtering detrending, the present work investigates the influence of varying detrending cutoff frequencies on wavelet statistical energy and wavelet entropy distributions of scintillation data. It consequently derives criteria on the optimum detrending cutoff frequency for three types of raw amplitude scintillation data, which are classified by their wavelet energy distributions. Results of the present work verify that detrending with specific optimum cutoff frequencies rather than the fixed and universally applicable one renders the validity and credibility of characterizing ionospheric scintillations as the part of GNSS observation fluctuations purely induced by ionosphere electron density irregularities whose scale sizes are comparable with or smaller than the Fresnel scale.     

加油机加油过程视频监控需求分析

通过对一般加油过程的分析,提出了空中加油机加油过程视频监控需求。将加油过程分为会合、编队、对接、解散四个部分对监控区域进行讨论,并对监控区域进行整理及优化,从功能、分辨率及显示等方面进行分析,给出适应性的视频监控需求,为机外摄像头布局,摄像头和显示器选型,机外照明布置提供有效支持。     

发动机故障诊断的变记忆约束滤波算法

为提高故障诊断可靠性,给出了3种利用多次测量信息减少测量误差影响的方法,即变记忆约束滤波算法、分段算术平均预平滑算法以及指数顶平滑算法。其中,变记忆约束滤波算法能够有效地避免由于故障方程多重共线性所引起的病态解。证明了多故障诊断问题中滤波算法与分段算术平均算法的等价性,证明了在衰减滤波的条件下（第一变记忆因子小于1）,随测量点数的增加,变记忆滤波算法的第一变记忆因子与指数平滑的平滑系数之和趋近于1。利用计算机仿真方法对于所得结论进行了检验。     

静电陀螺漂移的补偿和监控方法

简要介绍静电陀螺惯性导航系统的基本原理及其常平架结构。由于静电陀螺具有良好的漂移特性,上述系统位置误差随时间增长速度极低。着重讨论静电陀螺漂移模型及其在系统中补偿和监控方法。利用系统内部冗余轴漂移的实时测量将卡尔曼滤波器应用于上述系统,有效地改善了惯性导航系统的精度;此外还同时估计出绕冗余轴方向陀螺漂移的未知常值偏差,取得满意的仿真结果。     

用固体吸附/分光光度法同时监测空气中的肼、一甲肼和偏二甲肼

介绍了用一甲肼浓缩采样采集空气中三肼混合气体,用分光光度法分别测出肼、一甲肼和偏二甲肼各组分的含量。测定结果通过标准气验证,相对误差小于１７％,各组份回收率均大于８０％。本方法适用于空气中低浓度三肼废气的测定。