SF6分解气的近红外在线检测技术研究

为满足SF6绝缘电气设备故障监测与预警的实际需求,分析了国内分解气检测研究现状.对比近红外与中红外吸收光谱检测技术,提出近红外吸收光谱技术在线检测的技术方案.计算分析待测气体特征谱线的吸收系数、吸收光程和电路信噪比对精度的影响,完成系统参数设计.提出SF6分解气在线检测系统方案,实现对H2S、HF和CO这3种气体测量.数据分析表明,系统检测精度优于5×10-7,表明该系统满足电力行业在线测量的需求.     

打造雄鹰的“禽爪”——从T-38看教练机的研制与选择

回顾了对美国空军现役T-38高级教练机的研制思路,总结了美国空军选择和使用T-38的原则和方法,提出了教练机研发需要考虑的多项问题.     

气动换向阀阀芯/阀座撞击特性研究

针对某型气动换向阀在研制过程中出现由于阀芯/阀座撞击变形导致阀芯卡死的现象,对阀芯/阀座的撞击特性进行了仿真研究,定量分析了撞击过程以及不同阀座高度对撞击特性的影响,根据仿真结果对换向阀进行了改进设计,试验结果表明改进后的换向阀满足使用要求.     

Matching suitable feature construction for SAR images based on evolutionary synthesis strategy

In the paper,a set of algorithms to construct synthetic aperture radar（SAR）matching suitable features are frstly proposed based on the evolutionary synthesis strategy.During the process,on the one hand,the indexes of primary matching suitable features（PMSFs）are designed based on the characteristics of image texture,SAR imaging and SAR matching algorithm,which is a process involving expertise;on the other hand,by designing a synthesized operation expression tree based on PMSFs,a much more flexible expression form of synthesized features is built,which greatly expands the construction space.Then,the genetic algorithm-based optimized searching process is employed to search the synthesized matching suitable feature（SMSF）with the highest effciency,largely improving the optimized searching effciency.In addition,the experimental results of the airborne synthetic aperture radar ortho-images of C-band and P-band show that the SMSFs gained via the algorithms can reflect the matching suitability of SAR images accurately and the matching probabilities of selected matching suitable areas of ortho-images could reach 99±0.5%.     

自动微装配技术在航空机载光机电传感器装调中的应用

介绍了自动微装配技术在机载传感器装调中应用的整体思路及应用方案,通过对微小型零件夹持、精密定位、显微视觉和在线测量等先进装调中关键技术的研究,开发了光纤陀螺、高精度加速度计等产品成套自动装配的技术装备,解决了目前精度不高、装调一致性差、手工作业和产能不足等问题,从而整体提升了机载产品制造技术的水平.     

多功能水冷壁排管爬壁机器人的研制

介绍了一种新研制开发的永磁吸附式双履带结构爬壁机器人，主要应用于火力发电站的大型排管锅炉中的水冷壁排管壁面的清扫和检测，并能够在检测到壁面厚度小于预置的极限值处发出报警信号、打标记，具有较高的推广应用价值。文中阐述了该机器人的结构、磁路的优化设计、自动测厚、打标系统和控制系统的研制。目前，该机器人已经经过多次现场试验。各项指标均已达到设计要求。     

FAST FEATURE RANKING AND ITS APPLICATION TO FACE RECOGNITION

A fast feature ranking algorithm for classification in the presence of high dimensionahty and small sample size is proposed. The basic idea is that the important features force the data points of the same class to maintain their intrinsic neighbor relations, whereas neighboring points of different classes are no longer to stick to one an- other. Applying this assumption, an optimization problem weighting each feature is derived. The algorithm does not involve the dense matrix eigen-decomposition which can be computationally expensive in time. Extensive exper- iments are conducted to validate the significance of selected features using the Yale, Extended YaleB and PIE data- sets. The thorough evaluation shows that, using one-nearest neighbor classifier, the recognition rates using 100-- 500 leading features selected by the algorithm distinctively outperform those with features selected by the baseline feature selection algorithms, while using support vector machine features selected by the algorithm show less prominent improvement. Moreover, the experiments demonstrate that the proposed algorithm is particularly effi- cient for multi-class face recognition problem.     

共轴刚性旋翼飞行器配平特性及验证

针对共轴刚性旋 翼与常规旋翼的区别，从挥舞运动、变距操纵和诱导速度3方面建立共轴刚性旋翼的气动力模型。采用等效挥舞运动概念，建立共轴刚性旋翼的挥舞运动方程;引入提前操纵角概念，建立与共轴刚性旋翼挥舞频率相适应的变距操纵模型；引入上下旋翼干扰因子，建立共轴刚 性旋翼的诱导速度模型。在此基础上，建立共轴刚性旋翼飞行器飞行动力学模型，并以XH-59A 直升机为例计算纯直升机飞行模式的配平特性，使用飞行试验数据验证了理论模型的正确性，同时讨论了共轴刚性旋翼飞行器与常规直升机配平特性的异同点。     

Hypothesis-test-based landcover change detection using multi-temporal satellite images – A comparative study

Remote sensing images and technologies have been widely applied to environmental monitoring, in particular landuse/landcover classification and change detection. However, the uncertainties involved in such applications have not been fully addressed. In this paper two hypothesis-test-based change detection methods, namely the bivariate joint distribution method and the conditional distribution method, are proposed to tackle the uncertainties in change detection by making decisions based on the desired level of significance. Both methods require a data set of class-dependent no-change pixels to form the basis for class-dependent hypothesis test. Using an exemplar study area in central Taiwan, performance of the proposed methods are shown to be significantly superior to two other commonly applied methods (the post-classification comparison and the image differencing methods) in terms of the overall change detection accuracies. The conditional distribution method takes into consideration the correlation between digital numbers of the pre- and post-images and the effect of the known pre-image digital number on the range of the post-image digital number, and therefore yields the highest change detection accuracy. It is also demonstrated that the class-dependent change detection is crucial for accurate landuse/landcover change detection.