主导概率数据关联及算法

本文给出主导概率数据关联（ＤＰＤＡ）及算法，定义主导联合事件和主导概率，考虑实际目标环境可行联合事件出现为非等概率，导出主导概率数据关联计算方法，它无需计算所有行联合事件的联合率，从而克服了联合概率数据关联（ＪＰＤＡ）的组合问题，本文证明了ＤＰＤＡ性能上限不低于ＪＰＤＡ，下限低于ＰＤＡ，而下限出现的概率极小。本文给出了ＭｏｎｔｅＣａｒｌｏ仿真表明ＤＰＤＡ算法具有很好的性能和较高的实用价值。     

三坐标测量机的现状、发展与未来

叙述了三坐标测量机的基本构成、国内外上产现状、发展与未来。包括测量机的准确度、分类及丰富的软件。尤其对测量机的发展作了较详细的介绍。最后，预测厂测量机的未来。     

Analysis of solar spike events by means of symbolic dynamics methods

We have searched for interrelations of spikes emitted simultaneously at different frequencies during the impulsive phase of flare events (Fig.1). As the spikes are related to the flare energy release and are interpreted as emissions that originate at different sites having different magnetic field strengths, any relation in frequency is interpretated as a relation in space. Quantities of symbolic dynamics, such as mutual information, Shannon information and algorithmic complexity are appropriate to characterize such spatiotemporal patterns, whereas the popular estimate of fractal dimensions can be applied to low-dimensional systems only.The goal is to decide between two possible types of fragmentation depending on the energy release and emission processes, which we callglobal andlocal organization. In the global organization the whole region becomes supercritical, and the energy is released in independent, small regions. The alternative local scenario requires a trigger that spreads from initial localized events and ignites nearby regions.Mutual information which is a generalization of correlation indicates a relation in frequency beyond the bandwidth of individual spikes. The scans in the spectrograms with large mutual information also show a low level of Shannon information and algorithmic complexity, indicating that the simultaneous appearance of spikes at other frequencies is not a completely stochastic phenomenon (white noise). It may be caused by a nonlinear deterministic system or by a Markov process. By means of mutual information we find a memory over frequency intervals up to 60 MHz (Fig. 2). Shannon information and algorithmic complexity, however, describe spike events as a whole, i.e. a global source region. A global organization is also apparent in quasi-periodic changes of the Shannon information and algorithmic complexity in the range of 2–8 seconds (Fig. 3).This findings is compatible with a scenario of local organization in which the information of one spike event spreads spatially and hence triggers further spike events at different places. The region is not an ensemble of independently flashing sources, each representing a system that cascades in energy after an initial trigger. On the contrary, there is a causal connection between the sources at any time.The analysis of four spike events suggests that the simultaneous appearance of spikes is not stochastically independent but a process in which spikes at nearby locations are simultaneously triggered by a common exciter.We have shown in the case in the case of spikes that quantities from nonlinear dynamics used in this paper are helpful in detecting structural properties of complex spatio-temporal patterns. This approach seems to be promising also for several other astrophysical applications.     

基于局部平稳AR模型的信号结构变化点精确估计方法

研究了局部平稳AR模型,提出了基于递归辅助变量（RIV）双格型滤波算法,通过统计分析信息量AIC的变化精确估计信号结构变化点。对遥测速变参数的分析表明,该方法能够精确定位信号结构的变化点,实现局部平稳信号的精确分割。     

基于P～t曲线的导弹火工品品质测试

为了提高导弹火工品的存贮安全性和使用可靠性 ,提出了一种基于P～t(压力 -时间 )曲线获取的火工品品质测试分析方案 ;利用凌华高性能数据采集卡PCI- 9112采集爆炸过程的瞬态压力信号 ,并在对采集到的信号进行频谱分析和在滤波的基础上提取出了火工品的特征参数 ,从而为火工品的品质评判提供了决策参考。     

Mesh deformation on 3D complex configurations using multistep radial basis functions interpolation

The Radial Basis Function (RBF) method with data reduction is an effective way to perform mesh deformation. However, for large deformations on meshes of complex aerodynamic configurations, the efficiency of the RBF mesh deformation method still needs to be further improved to fulfill the demand of practical application. To achieve this goal, a multistep RBF method based on a multilevel subspace RBF algorithm is presented to further improve the efficiency of the mesh deformation method in this research. A whole deformation is divided into a series of steps, and the supporting radius is adjusted in accordance with the maximal displacement error. Furthermore, parallel computing is applied to the interpolation to enhance the efficiency. Typical deformation problems of the NASA Common Research Model (CRM) configuration, the DLR-F6 wing-body-nacelle-pylon configuration, and the DLR-F11 high-lift configuration are tested to verify the feasibility of this method. Test results show that the presented multistep RBF mesh deformation method is efficient and robust in dealing with large deformation problems over complex geometries.     

微型计算机数据采集与处理的小型系统

介绍了一种利用微型计算机进行数据采集与处理的小型系统。文中对系统的硬件配置，性能和特点以及软件的编制原则，方法和应用细节等，均作了简要说明。最后，列举了常规数据和高频动态信号的采集，处理结果实例。本文对于科学实验与工业上的信号检测研究提供了参考。     

随机声载荷基于相空间重构的GMDH方法预测

把数据处理的组合法（GMDH）与相空间重构理论相结合,产生基于相空间重构的GMDH方法应用于随机声载荷的状态预测中。根据此法所建立的模式系统具有较好的客观性,预测结果与时间序列自回归模型ARMA（17,16）相比,预报均方误差有明显改进。     

A generalized rough set-based information filling technique for failure analysis of thruster experimental data

Interval-valued data and incomplete data are two key problems for failure analysis of thruster experimental data and have been basically solved by the proposed methods in this paper. Firstly, information data acquired from the simulation and evaluation system formed as intervalvalued information system （IIS） is classified by the interval similarity relation. Then, as an improvement of the classical rough set, a new kind of generalized information entropy called ＂H＇-information entropy＂ is suggested for the measurement of uncertainty and the classification ability of IIS. There is an innovative information filling technique using the properties of H＇-information entropy to replace missing data by some smaller estimation intervals. Finally, an improved method of failure analysis synthesized by the above achievements is presented to classify the thruster experimental data, complete the information, and extract the failure rules. The feasibility and advantage of this method is testified by an actual application of failure analysis, whose performance is evaluated by the quantification of E-condition entropy.     

航空发动机振动数据管理系统建立及应用

介绍了利用航空发动机台架试车的振动测试仪器、磁带记录仪、信号分析仪与计算机联机，对其振动数据进行自动采集、分析处理建库。并基于ＯＲＡＣＬＥ数据库管理系统的ＰＲＯ＊Ｃ工具，开发了航空发动机台架试车振动数据管理系统，实现了振动数据的自动录入、动态检索以及振动特性分析等功能。