基于D—S证据理论的航空发动机故障诊断

航空发动机滑油中舍有摩擦副产生的磨损微粒。通过滑油介质中所含磨损微粒中元素的分析．运用Dempster-Shafer证据融合诊断方法,对航空发动机的磨损状态等进行有效的诊断,确定发动机的磨损程度,以及发动机的磨损部位,从而可对发动机的故障排除作参考。在融合过程中提出了先对每个元素的磨损量和磨损率进行融合,再总体融合的方法。针对Dempster—Sharer证据融合的局限,应用了两种改进的融合方法,并进行比较。实例表明,Dempster—Shafer证据融合是一种有效的航空发动机滑油磨损的故障诊断方法。     

基于网络商务英语实训模式初探

通过分析目前大多数内地高职院校商务英语实训的模式及其存在的问题,以外贸函电为例,阐明基于网络的商务英语实训模式的可行性和操作方法。表明应用语言类专业学生的综合能力需要通过实训来提高,但由于实训过程的特殊性,我国内地高职院校很难找到真正"工学结合"的实训机会。为了促进企业和学校的合作,应把这类实训活动作为长期活动,为合作的企业提供长期的服务,从而真正实现"工学结合"的目的。     

原子氧与真空紫外线协同效应对有机涂层的降解作用

为研究真空紫外与原子氧的协同作用,进行了环氧树脂和有机硅树脂的原子氧/真空紫外交互的地面模拟实验,结果表明:在交互作用中,对有机涂层破坏的主导因素是原子氧,真空紫外线起到协同作用,在切断有机高分子材料化学键的同时,为原子氧提供了反应基,加速了原子氧的反应速率.对比真空紫外辐照和原子氧/真空紫外交互实验结果分析中可以发现,有机硅树脂是较好的耐真空紫外辐射和原子氧侵蚀的有机涂层材料.     

一种基于二次组阵的DOA估计方法

提出一种基于二次组阵的信号到达方向估计方法,在阵列中通过划分相互重叠的子阵对指定的空间区域进行空域滤波波束设计实现对空间信号的干扰抑制,提高期望信号的信干噪比。根据子阵间的位置关系对阵列进行二次组阵,用空间谱估计方法实现对各子阵输出期望信号的到达方向（DOA）估计。仿真结果表明：与常规谱估计方法相比,基于二次组阵的DO...     

Adaptive controller design for satellite attached by non-cooperative object

When non-cooperative body attachment occurs in space, the inertia of the new combination and the change of the system’s momentum are unknown. This uncertainty may lead to the instability of the spacecraft’s attitude control. In order to solve this problem, we propose an adaptive control scheme based on the inertia estimation of the new, combined system of non-cooperative body and satellite. This method can allow the new combination of different situations to reach a stable state with a high level of precision and speed. In this paper, the stability of the adaptive control scheme is proven by constructing a Lyapunov function. A simulation environment in which a non-cooperative body attaches to a satellite attaches to is constructed. The simulation shows that the attitude error converges to a small field when using the control scheme, regardless of unfavorable cases, including unknown inertia parameters, added momentum. In addition, the simulation results show the strong robustness of the control scheme for the new combination.     

Improvement of the GRACE star camera data based on the revision of the combination method

The new release of the sensor and instrument data (Level-1B release 02) of the Gravity Recovery and Climate Experiment (GRACE) had a substantial impact on the improvement of the overall accuracy of the gravity field models. This has implied that improvements on the sensor data level can still significantly contribute to arriving closer to the GRACE baseline accuracy. The recent analysis of the GRACE star camera data (SCA1B RL02) revealed their unexpectedly higher noise. As the star camera (SCA) data are essential for the processing of the K-band ranging data and the accelerometer data, thorough investigation of the data set was needed. We fully reexamined the SCA data processing from Level-1A to Level-1B with focus on the combination method of the data delivered by the two SCA heads. In the first step, we produced and compared our own combined attitude solution by applying two different combination methods on the SCA Level-1A data. The first method introduces the information about the anisotropic accuracy of the star camera measurement in terms of a weighing matrix. This method was applied in the official processing as well. The alternative method merges only the well determined SCA boresight directions. This method was implemented on the GRACE SCA data for the first time. Both methods were expected to provide optimal solution characteristic by the full accuracy about all three axes, which was confirmed. In the second step, we analyzed the differences between the official SCA1B RL02 data generated by the Jet Propulsion Laboratory (JPL) and our solution. SCA1B RL02 contains systematically higher noise of about a factor 3–4. The data analysis revealed that the reason is the incorrect implementation of algorithms in the JPL processing routines. After correct implementation of the combination method, significant improvement within the whole spectrum was achieved. Based on these results, the official reprocessing of the SCA data is suggested, as the SCA attitude data are one of the key observations needed for the gravity field recovery.     

计算机辅助功能危险评估方法研究

功能和安全一直是高风险复杂系统的关键问题。传统的功能危险评估由安全工程师手工进行分析，面对高度复杂系统时，就会变得难以完成且容易出错。解决这种问题的一个途径就是利用计算机进行辅助。为此提出一种计算机辅助的功能危险评估方法，采用状态图语言搭建系统状态模型，将功能失效影响直观地从系统状态转移图上表达出来。并且在系统状态模型的基础上，采用计算机编程快速计算出导致系统故障的失效组合以及最小割集。最后以飞机为对象证明了方法的可行性。     

星载二次电源的电磁兼容预设计

针对星载二次电源电磁兼容试验中辐射发射的超标问题,提出了电磁兼容预设计方法.分析二次电源电磁干扰产生的机理,利用SPICE仿真器建立传导干扰的电路等效模型,优化电路设计得到传导干扰源;应用修正的单线模型近似计算辐射干扰,根据计算结果,利用遗传算法优化等效偶极子的数目和分布位置建立场等效模型;基于场路结合的方法,以传导干...     

几种有限可重组合的公式型解法

对于有限可重组合问题 ,通常用母函数方法[1] 作解答 ,但当数据比较大时 ,母函数方法就不太方便。更重要的是 ,母函数方法很难在计算机中实现。本文对几种有限可重组合问题给出了公式型解法     

最优投资组合模型

本模型意在寻求净收益Ｒ尽可能大而风险ε尽可能小的一种投资组合，先介绍了在期望风险为一定值时单纯形法求解净收益最大的投资组合的全过程。