超声波检测二元气体成份技术研究

本文从超声波在二元气体中传播的物理机制出发 ,推导了二元混合气体浓度与超声波声时及温度的关系 ,为超声波检测二元气体成份提供了理论依据。本文还介绍了超声波检测实验结构原理以及超声波在二元气体中传播特性实验结果 ;本文对氯气与空气混合气体进行了实验测定 ,实验结果表明其浓度测量误差小于± 0 .5 %     

装备软件重用技术

提高装备集成化水平是当前装备研究的热点问题.装备软件复用技术是提高装备软件生产效率,保障软件产品质量的重要手段.文中介绍了软件复用的优点、分类,重点论述了基于面向对象和基于构件的软件重用技术的主要特征及实现方式,给出基于构件的装备信息管理系统开发实例.     

基于逻辑决断图——主成分分析法的部署备件包品种确定

部署备件包的建立对我军作战航材保障具有重要意义,其首要问题是品种确定。从关键性、可更换性、寿控性、作战损伤性、可靠性、通用性、冗余结构、消耗性、经济性、筹措性10个因素出发,提出维修部门使用逻辑决断图定性方法确定航材品种需求、航材部门进一步使用主成分分析法定量确定航材品种配置策略的部署备件包品种确定方法,并通过实例验证该方法。结果表明：基于逻辑决断图—主成分分析法能快速、合理地确定部署备件包品种。     

基于PCA-MPSO-ELM的空战目标威胁评估

目标威胁评估是空战对抗过程中的关键环节。由于影响空战目标威胁评估的因素复杂多样，且指标之间存在相关性，导致传统的评估算法无法得到准确客观的评估结果。由此，提出了一种基于主成分分析法和改进粒子群算法优化的极限学习机（PCA-MPSO-ELM）的目标威胁评估算法。首先，综合分析了影响目标威胁程度的指标，利用主成分分析法对原始评估指标进行线性变化处理得到综合变量，消除了评估指标之间的相关性，实现了对评估数据的降维；在此基础上，构建ELM神经网络并利用改进的粒子群算法优化极限学习机的输入权值和阈值，提高了目标威胁评估模型的精度。最后，在空战训练测量仪中选取空战对抗数据，利用威胁指数法构造了目标威胁评估样本数据，通过仿真实验分析了PCA-MPSO-ELM算法的精度和实时性，结果表明所提算法可以快速准确地进行空战目标威胁评估。     

航空部件可靠性分析方法及应用浅析

介绍了航空器部件的可靠性分析方法,以及航空器部件可靠性分析的对象、范围及警戒值的确定方法,并对某航空公司波音737-300/400机队甚高频导航接收机小样本数据进行了可靠性分析。     

虚拟测试平台技术研究

提出将各种主流仿真、计算机辅助设计、诊断推理和虚拟仪器软件的核心运行组件进行集成,构成功能完备、配置灵活、用户免编程的虚拟测试平台,来满足高性能智能化产品动态测试、参数调整与优化、诊断排故的需要。对虚拟测试平台所具备的功能、系统结构及关键技术进行了详细的论述,最后结合智能运动控制系统的全数字与半实物仿真测试,就虚拟测试平台的典型应用进行了讨论。     

Influence of different data fusion methods on the accuracy of three-dimensional displacements field

Combining multi-source data can improve the accuracy and the spatial resolution of the three-dimensional (3-D) displacements field. How to effectively integrate multi-source data to obtain high-precision and high spatial resolution 3-D displacements field is worthy of further study. The stochastic model and fusion model of integrating multi-source data affect the accuracy of data fusion. In this paper, based on the least squares method, the effects of different stochastic models and data fusion models on the 3-D displacements field’s accuracy are studied. The optimal method for estimating large-scale 3-D displacements field from integrated InSAR, leveling and GPS measurements is obtained. Then we realize the integrating InSAR, leveling and GPS measurements to obtain the high-precision 3-D displacements velocity field in Tianjin (China) from 2016 to 2018. The results are validated with GPS measurements at 6 independent stations, with the root mean squares (RMS) residuals of the discrepancies being 2.39 mm/yr, 2.54 mm/yr and 2.83 mm/yr in eastern, northern and vertical directions, respectively. By comparing different stochastic models, the 3-D displacements field obtained from multi-source data is optimized by the variance component estimation-least squares method, which is better than weighted least squares (WLS) method. By comparing different data fusion models, the accuracy of the horizontal displacements velocity is better than that of interpolated GPS results. The horizontal displacements component has a great influence on the vertical displacements velocity accuracy in the process of acquiring the 3-D displacements velocity by integrating InSAR, GPS and leveling measurements. This study provides a reference method for integrating multi-source data to obtain 3-D displacements field. This method effectively utilizes the advantages of GPS, InSAR and leveling measurements, and extends the limitations of single technical in describing surface-time scale applications. The 3-D displacements information with a large spatial scale and high spatial resolution provide a reliable data basis for studying the crustal movement and its dynamic mechanism.     

空间光学敏感器成像组件抗力学稳定性分析与评价

摘要： 成像组件是空间光学敏感器和光学相机的核心组件，其抗力学稳定性直接影响单机的测量精度.为了提高其抗力学性能，本文首先对成像组件结构进行了力学分析，并通过试验验证了分析方法的有效性.由于仿真分析只能对抗力学稳定性进行定性评价，本文设计了实验来定量评价，并提出了一种成像组件抗力学稳定性评价方法.最后，应用该评价方法对三种结构进行了抗力学稳定性分析、试验和测试.结果表明，本文提出的评价方法与力学仿真结合试验的评价方法对三种结构的评价结论是一致的.而本文的量化评价方法可以给出结构力学试验后的滑移值和机械基准变化值，为产品的研制提供数据参考.该方法可应用于对位置变化敏感的空间光学仪器的研制过程.     

Dual-frequency carrier smoothed code filtering with dynamical ionospheric delay modeling

In GNSS applications, carrier-smoothed-code is a widely used technique to combine code pseudo-range and carrier phase measurements. A dynamical ionospheric delay modeling method is proposed based on Kalman filter and least-squares theory. The level of the process noise is adaptively tuned along with the real-time KF state estimation, based on the online variance component estimation method. Meanwhile, the correlations of the time differenced carrier phase measurements are considered. This approach avoids overly optimistically evaluating the estimate and improves the transient accuracy of the estimates. A real GPS dataset is employed to check the performance of the proposed method under different conditions. The results show that the new algorithm can model the ionospheric delay variation well with different sampling intervals or even in ionospheric abnormal environment. The positioning accuracy can be confirmed, about 21%, 35% and 16% better are obtained in the N, E, and U direction than raw dataset.     

基于CompactPCI的多路遥测信号模拟源的设计与实现

对CompactPCI总线和其他主要的工业计算机总线进行了分析和比较,研究了基于CompactPCI总线的多路遥测信号模拟源的一些关键技术,并对多路遥测信号模拟源的底层软件接口进行了说明.基于CompactPCI总线平台的某卫星测控系统综合测试环境需要产生大量的传感器仿真信号作为遥测源,如果使用传统的采样保持电路和DA组合方式将难以在一个6U的CompactPCI板卡上实现多达128路的DA输出.围绕Analog Devices公司的8通道10?bits串行控制DA芯片AD5318,通过简单的接口电路直接实现与CompactPCI接口芯片连接,大大缩减了板卡上器件,成功的实现了128路的DA输出.同时,设计还在板卡上实现了一个以16?bits AD为核心的高精度反馈回路,以便对各通道的输出实现动态的监控和调整,保证了DA精度和验证遥测采集系统的性能.