信号特征选择的一种优化算法

简单介绍了基于扩张理论和粗集理论的优化算法、“贪心算法”和启发式搜索算法等典型特征选择的优化算法,并比较它们的性能,在此基础上选择启发式搜索算法用于信号特征的选择。最后用MATLAB编程验证了启发式搜索算法特征选择的有效性。     

某型飞机护板作动筒自动开锁故障分析及改进

针对某型飞机护板在飞行中自动打开的故障,对护板收放作动筒工作原理、结构组成进行了研究,在开锁试验验证和故障件分解检查后,确定了作动筒自动开锁的原因是由于弹簧力过小,使得作动筒开锁压力小于瞬时回油压力所致.通过改进作动筒内部零件弹簧的安装方式,增大了开锁压力,提高了开锁压力的稳定性,排除了故障,为飞机飞行安全提供了保障.     

Object-based representations of spatial images

Object based representations of image data enable new content-related functionalities while facilitating management of large image databases. Developing such representations for multi-date and multi-spectral images is one of the objectives of the second phase of the Alexandria Digital Library (ADL) project at UCSB. Image segmentation and image registration are two of the main issues that are to be addressed in creating localized image representations. We present in this paper some of the recent and current work by the ADL's image processing group on robust image segmentation, registration, and the use of image texture for content representation. Built upon these technologies are techniques for managing large repositories of data. A texture thesaurus assists in creating a semantic classification of image regions. An object-based representation is proposed to facilitate data storage, retrieval, analysis, and navigation.     

CRJ-200飞机起落架收放系统常见故障分析

山东太古飞机工程有限公司执管的CRJ-200飞机多次在航线维护中出现起落架不能正常收放故障,本文对这些故障进行了分类总结,并提出了常见的解决办法,其中的一些排故经验在FIM上也未曾涉及,以供同行借鉴。     

A star identification algorithm based on radial and dynamic cyclic features of star pattern

A full-sky star identification algorithm based on radial and dynamic cyclic patterns is presented with the aim of solving the “lost-in-space” problem. The dynamic cyclic pattern match is applied with a maximum cumulate comparison method to identify sensor-catalog pairings in initial match, which substantially eliminates the effects of the star position noise, magnitude noise, and false stars. After initial match pairings of stars are obtained, a chain part extension technique is employed to quickly search for the longest match chain as the final result. Experimental results indicate that the proposed algorithm is highly robust to star position noise, magnitude noise and false stars. In a series of simulations, the identification rate of the algorithm is 97.50% with 2.0 pixels star position noise, 96.90% with 0.4 Mv star magnitude noise and 95.30% with four false stars respectively. Moreover, the algorithm achieves an identification rate of 58.08% when only six stars are in the field of view.     

Development and testing of a statistical texture model for land cover classification of the Black Sea region with MODIS imagery

A statistical model is proposed for analysis of the texture of land cover types for global and regional land cover classification by using texture features extracted by multiresolution image analysis techniques. It consists of four novel indices representing second-order texture, which are calculated after wavelet decomposition of an image and after texture extraction by a new approach that makes use of a four-pixel texture unit. The model was applied to four satellite images of the Black Sea region, obtained by Terra/MODIS and Aqua/MODIS at different spatial resolution. In single texture classification experiments, we used 15 subimages (50 × 50 pixels) of the selected classes of land covers that are present in the satellite images studied. These subimages were subjected to one-level and two-level decompositions by using orthonormal spline and Gabor-like spline wavelets. The texture indices were calculated and used as feature vectors in the supervised classification system with neural networks. The testing of the model was based on the use of two kinds of widely accepted statistical texture quantities: five texture features determined by the co-occurrence matrix (angular second moment, contrast, correlation, inverse difference moment, entropy), and four statistical texture features determined after the wavelet transformation (mean, standard deviation, energy, entropy). The supervised neural network classification was performed and the discrimination ability of the proposed texture indices was found comparable with that for the sets of five GLCM texture features and four wavelet-based texture features. The results obtained from the neural network classifier showed that the proposed texture model yielded an accuracy of 92.86% on average after orthonormal wavelet decomposition and 100% after Gabor-like wavelet decomposition for texture classification of the examined land cover types on satellite images.     

腐蚀环境下材料的疲劳缺口系数

采用当量加速环境谱对LY12CZ铝合金材料进行了不同年限的加速腐蚀试验,并对腐蚀后的试件进行疲劳试验,根据试验数据,对不同腐蚀年限下试件的疲劳缺口系数Kf和DFR值进行了计算,并研究了其随腐蚀年限变化的规律。     

一种分布式阵列波达方向估计方法

针对分布式MIMO雷达中的DOA估计问题,提出一种基于分布式子阵列作为发射,密布阵作为接收的DOA估计方法。发射阵元间隔为接收孔径大小。利用发射作为辅助提高阵列自由度,扩展阵列孔径,推导了DOA估计的过程。与密布阵MIMO雷达不同,在空间分集MIMO雷达中提高自由度并扩展阵列孔径。仿真结果表明了算法的正确性和有效性。     

基于电阻阵列的红外场景生成技术

针对红外成像制导半实物仿真试验的需求,研究了红外场景生成技术。主要通过对场景的建模、目标及场景的红外特性分析,开展了基于可见光图像调制生成红外图像技术的研究。同时对飞机、地面背景及红外诱饵干扰的建模技术进行了探讨,完善了红外场景的生成方法。利用该红外场景生成技术为基于电阻阵列的红外图像转换器提供输入信息,驱动电阻阵列产生红外辐射,经热像仪观测,生成的图像细腻、真实度高,为制导半实物仿真试验提供了更为逼真的红外仿真环境。     

基于增量考核的飞机延寿方法与应用

为深度挖掘老龄飞机的寿命潜力,提出并应用了基于增量考核的飞机延寿方法。以寿命增量考核为主线,围绕定基点、再更新、获增量展开。通过将体现飞机使用严重程度的当量飞行小时作为延寿基点,科学处理了老龄飞机已消耗寿命。开展4种不同状态到寿飞机的深度拆毁与损伤评估,全面掌握机体疲劳关键薄弱部位,确立机体结构修理基点。建立以疲劳薄弱部位耐久性修理为核心、关键部位新型增材修复、隐蔽区域高精度损伤检测为支撑的规范性飞机延寿大修技术体系。以较小的重量代价,大幅改善了机体结构原有疲劳品质,实现对累积损伤"清零"与结构状态"统一",消除所有影响飞行安全的隐患与故障,实现了对机体结构的"再更新"。进而通过全尺寸疲劳试验系统验证更新飞机的寿命增量,形成了完整的飞机结构修理与延寿相结合的技术体系。