航空装备综合诊断的现状与发展设想

综合诊断是伴随着装备的发展和对装备保障能力的要求不断提高而产生和发展的,为此将国外航空装备综合诊断技术的发展历程以及各综合诊断系统的具体组成进行了对比,阐述了当前我国航空装备故障诊断的情况,分析了综合诊断的支撑技术和发展趋势,提出在我国航空装备的维修保障中实施综合诊断的必要性,并对我国建立面向多机型、多专业、以网络为中...     

A new inversion method of plasma density distribution of plasmasphere in the geomagnetic equatorial plane from IMAGE data

The plasma density distribution of plasmasphere in the geomagnetic equatorial plane can help us study the magnetosphere like plasmasphere, ionosphere and their kinetics. In this paper, we introduce a new inversion method, GE-ART, to calculate the plasma density distribution in the geomagnetic equatorial plane from the Extreme Ultraviolet (EUV) data of IMAGE satellite under the assumption that the plasma density is constant along each geomagnetic field line. The new GE-ART algorithm was derived from the traditional Algebraic Reconstruction Techniques (ART) in Computed Tomography (CT) which was different from the several existing methods. In this new method, each value of the EUV image data was back-projected evenly to the geomagnetic field lines intersected by this EUV sight. A 3-D inversion matrix was produced by the contributions of all the voxels contained in the plasmasphere covered by the EUV sensor. That is, we considered that each value of the EUV image data was relative to the plasma densities of all the voxels passed through by the corresponding EUV radiation, which is the biggest difference to all the existing inversion methods. Finally, the GE-ART algorithm was evaluated by the real EUV data from the IMAGE satellite.     

基于仿真分析的压铆力预测模型

铆接是飞机结构机械连接的主要方式,压铆力作为影响铆接质量的重要因素,传统的计算方法通常是建立在体积不变的假设之上,且不考虑钉杆材料被压入钉孔部分的体积,导致模型误差较大。为此,依据仿真分析结果和铆钉材料的流动趋势,引入体积缩减系数来描述钉杆被压入钉孔部分的体积,建立压铆力预测模型,并与已有的试验数据进行对比,结果表明计算值与试验值的一致性较好,该模型可以用来预测铆接过程中压铆力的大小。     

用模糊集方法实现管理系统仿真输入非参数化的研究

以模糊信息优化处理的观点，研究了信息扩散方式实现非参数输入的途径、方法和效果、本文用正态扩散方式处理知识样本，形成参数概率颁上模式，通过ＳＩＭＡＮ仿真语言，对某一高速公路的一部分收费系统进行了仿真研究，结果表明：当人们对系统掌握的资料不多时，新方法有较大的优越性；如有较多的资料，新方法的结果与传统方法一致。     

汽车消声器筒体与制造设备

介绍了单层纵缝焊接简体、单层纵缝咬边简体和缠绕式点焊筒体等3种类型的汽车消声器筒体及其制造设备的原理、结构、性能与特点．     

支承座三工序复合冲压模具

介绍一种新型支承座三工步复合冲压模具的结构、工作原理、主要工作部件的设计技术和参数计算。使用此种模具，可以在一个工步中完成支承座毛坯的落料、冲孔和弯曲成形，生产效率高，工艺质量好。     

发动机数控系统智能容错技术的半物理仿真研究

提出基于自联想神经网络的发动机数控系统的智能容错技术。该方法不依赖系统模型，只需要发动机的测量值来离线训练网络。若发生性能蜕化，该方法能自动切入故障诊断与最优估计的综合逻辑。文中开展了半物理仿真实验，实验结果充分证明了该技术能适应实验现场多变的环境，能正确诊断发动机传感器故障并提供解析余度，具有较好的鲁棒性。     

角分辨紫外光电子谱仪校正因子的测量和计算

测量并分析计算了角分辨紫外光电子谱仪的电子能量分析器的聚焦特性 ,分析计算了紫外光斜入射时光电信号的校正因子。结果表明 :偏离分析器聚焦中心 β角的光电子被分析器接收的几率为高斯函数exp( - β2 /β0 2 ) ,且 β0 =3.5° ;斜入射光电信号的校正因子是光入射角α的函数且大于cosα     

不连续散粒体的离散单元法

建立了球体元三维离散单元法的单元接触模型。该模型把两个球体空间接触时的相互作用简化为四个弹簧阻尼器和三个滑动摩擦器。根据赫兹接触理论和非完全弹性碰撞理论，合理地确定了各接触参数。文中详细讨论了接触球体间相互作用力的分析计算方法和球体间产生接触的判断及检索方法，给出了球体元三维离散单元法的原理、算法和数据结构，并编制了相应的程序。利用该程序对球体自重下落和颗粒阻尼减振器分别进行了仿真计算，理论结果和实验结果有较好的一致性，验证了本文方法和程序的正确性。     

Kalman filtering for GPS/magnetometer integrated navigation system

This paper investigated the data processing method for a GPS/IMU/magnetometer integrated system with Kalman filtering (KF). As a result of GPS/IMU/magnetometer land vehicle system, dead-reckoning of magnetometer and accelerometer integrated subsystem bridged very well the GPS signal outage due to the trees on the two sides of the road. Both differential GPS data processing method and the carrier-phase method with magnetometers’ outputs for predicting the car position, velocity, and acceleration (PVA) are presented. The results from DGPS with Kinematical Positioning (KINPOS) software shown that the averages of the north, east, and down direction standard deviation (short for “std”) are 0.014, 0.010, and 0.018 m, respectively. The std of velocities and accelerations derived by the position and velocity differentiation are 10, 7, 13 mm/s, 7, 5, 9 mm/s², respectively. This method for getting velocities and accelerations requires higher accurate position coordinates. But the position accuracy has frequently been degraded in this case when the car drove under the trees or other similar kinematical environments. That caused the larger velocity and acceleration errors. While the results from the carrier-phase method are std of the velocities = 2.1 mm/s, 1.3 mm/s, 3.7 mm/s in north, east, down, and std of the accelerations = 1.5 mm/s², 0.9 mm/s², 2.3 mm/s² for the static test period; as compared with KINPOS software results, std of the velocity difference between the carrier-phase method and the DGPS method = 7 mm/s, 6.9 mm/s, 9.7 mm/s in north, east, down direction, and std of acceleration difference = 5.0 mm/s², 4.5 mm/s², 7.5 mm/s² in north, east, down direction for the kinematical test period. Obviously, errors come from both the carrier-phase method and DGPS velocity and acceleration results derived directly by the position differentiation. In addition, better accuracy of positions than that before KF has been got by means of velocities and accelerations derived by the carrier-phase method after KF.