基于线性神经网络的滑油金属含量预测

利用神经网络方法对某型航空发动机滑油监控系统中需重点监控的金属元素含量建立了网络，并根据该模型对其含量变化趋势进行了预测分析。某部队通过对不同实测数据的检验证明，可根据该模型的预测结果预报金属含量是否超标。     

Acceleration of the solar wind

In this review, we discuss critically recent research on the acceleration of the solar wind, giving emphasis to high-speed solar wind streams emanating from solar coronal holes. We first explain why thermally driven wind models constrained by solar and interplanetary observations encounter substantial difficulties in explaining high speed streams. Then, through a general discussion of energy addition to the solar wind above the coronal base, we indicate a possible resolution of these difficulties. Finally, we consider the question of what role MHD waves might play in transporting energy through the solar atmosphere and depositing it in the solar wind, and we conclude by examining, in a simple way, the specific mechanism of solar wind acceleration by Alfvén waves and the related problem of accelerating massive stellar winds with Alfvén waves.Paper presented at the IX-th Lindau Workshop The Source Region of the Solar Wind.On leave from the Auroral Observatory, Institute of Mathematical and Physical Sciences, University of Tromsø, N-9001 Tromsø, Norway.The National Center for Atmospheric Research is sponsored by the National Science Foundation.     

Current Injected Equivalent Circuit Approach to Modeling Switching DC-DC Converters

A new current injected equivalent circuit approach (CIECA) to modeling switching dc-dc converter power stages is developed, which starts with the current injected approach and results in either a set of equations which completely describe input and out-put properties or an equivalent linear circuit model valid at small signal, low frequency levels. This approach to modeling switching dc-dc converter power stages has the merits but not the demerits of both the electronic equivalent circuit state space average approach and the current injected control type approach, namely, 1) the modeling is very clear and is simple whether the converter operates in continuous or discontinuous inductor conduction modes, 2) the modeling results in an equivalent circuit which is very close to the actual converter, and 3) the equivalent circuit can be used directly in the computer for theoretical predictions like SPICE, etc.     

ATS-6 Experiment Summary

The ATS-6 is the most advanced experimental satellite that has evolved from the Application Technology Satellite Program conducted and implemented by NASA Goddard Space Flight Center (NASA/GSFC). This project utilizes a state-of-the-art spacecraft and ground terminal network to perform advance studies and to conduct technological demonstrations in a large number of scientific areas. The design and implementation of this unique spacecraft permitted multiple experimentation simultaneously. The control of the spacecraft is performed at ATS Operational Control Center (ATSOCC) located at NASA/GSFC. Experimentation which was performed covered a wide spectrum of communications, technological, meterorological, and scientific subjects. Three principal ground terminals are utilized to assist the experimenters to acquire data. Data reduction and analysis are performed by the many facilities at NASA/GSFC in support of the experimenters.     

AD7714功能及应用

本文介绍了模数转换器AD7714的性能，特点及在压力测量方面应用。     

多线程控制技术在面向对象实时仿真中的应用

随着实时仿真复杂性的提高,单个的处理器不足以完成所有的必需仿真计算任务。希望能在不同的处理器上完成实时仿真的不同任务,对称多处理器的机制需要软件支持,以使每个处理器通过共享内存进行信息交换。利用多线程控制技术,可以在非全进程开销或不使用共享内存的条件下,使用多处理器。其理由在于线程本身就蕴涵有共享地址的概念。一个多线程的实时程序,利用其中的主线程控制其它的辅助线程,每个处理器用于完成一个辅助的实时计算线程,主线程负责实时时钟的监控,当时钟到达时,启动相应的辅助线程,辅助线程利用图形用户界面(GUI)来监控仿真的进行。     

直升机航姿信号仿真研究及其在电子特设系统综合模拟试验中的应用

本文介绍了某直升机电子特设系统综合模拟试验的直升机运动仿真模型,在此基础上着重对直升机航姿信号两种仿真方法进行了详细的阐述,并对两种方法的仿真试验结果进行了分析比较,指出了各自的优缺点。     

二维Euler方程的非结构网格再生成自适应方法

给出了提高二维Ｅｕｌｅｒ方程定常解质量的非结构网格自适应方法和模拟结果。流场算法为结点型有限体积法和Ｌａｘ－Ｗｅｎｄｒｏｆｆ格式，网格用阵面推进法生成，生成初始网格时使用均匀的直角坐标背景网格。     

Recursive mode star identification algorithms

Star identification can be accomplished by several different available algorithms that identify the stars observed by a star tracker. However, efficiency and reliability remain key issues and the availability of new active pixel cameras requires new approaches. Two novel algorithms for recursive mode star identification are presented here. The first approach is derived by the spherical polygon search (SP-search) algorithm, it was used to access all the cataloged stars observed by the sensor field-of-view (FOV) and recursively add/remove candidate cataloged stars according to the predicted image motion induced by camera attitude dynamics. Star identification is then accomplished by a star pattern matching technique which identifies the observed stars in the reference catalog. The second method uses star neighborhood information and a catalog neighborhood pointer matrix to access the star catalog. In the recursive star identification process, and under the assumption of "slow" attitude dynamics, only the stars in the neighborhood of previously identified stars are considered for star identification in the succeeding frames. Numerical tests are performed to validate the absolute and relative efficiency of the proposed methods.