电磁高速离合器的改造

针对国内电磁高速离合器产品缺少的状况,从高速离合器结构特性及电流参数要求进行原因分析,指出了电磁高速离合器设计制造的三大难题,并结合一改造实例,介绍了如何逐一解决这些难题,将一普通电磁离合器改造成电磁高速离合器。     

新型空天威胁目标防御难点及对策分析

在分析新型空天威胁目标的现状、特点及发展趋势的基础上,从预警探测、拦截打击方面分析了新型空天威胁目标的防御难点。针对这些难点,结合防御武器系统发展现状,提出了通过组网提高探测概率,运用新概念武器和通过网电空间拦截提高拦截概率的对策,最后给出了基于网络的反新型空天威胁目标的综合拦截方法。     

On-orbit determination and adjustment of electrostatic accelerometer lever arm

In order to ensure the proof mass center of electrostatic accelerometer (EA) is fixed at the center of gravity of satellite as precisely as possible, an on-orbit determination and adjustment strategy of EA lever arm is presented in this paper. The EA lever arm is determined using the observations of EA, gyro and magnetometer first. Then it is adjusted by screw slider mechanism. The simulation results demonstrate that the proposed strategy can be carried out several times to yield better accuracy. Meanwhile, the optimal geographic location for EA lever arm determination along each axis is found.     

热试验中红外热像仪低温测量能力分析及试验验证

文章分析了红外热像仪在航天器热试验中对低温目标的测温能力不足问题,采用红外干扰消减以及分段辐射定标/分段线性函数拟合的方式,初步解决了红外热像仪在真空低温环境下对低温目标的测量受限的问题。文章的研究结果有助于改进红外热像仪在真空低温环境下的非接触温度测量工作。     

雷达信号时差频差测量定位工程实现技术研究

针对星载时差频差无源定位系统对地海面雷达信号定位工程实现需要考虑的实际问题,对雷达信号时差频差测量关键技术进行研究.首先研究了雷达信号时差频差测量方法,然后研究了双星时差频差模糊条件并提出解模糊方法,最后,研究了长时间积累对到达频差的影响,给出随时间变化频差补偿方法.     

基于被动探测的目标磁扰动信号检测与定位

针对目标探测定位的快速发展中,军事领域主动雷达存在的缺陷和实现具有高度隐蔽性的目标检测技术的需求,提出一种基于被动磁矢量测量的目标扰动信号检测与定位技术.该方法利用磁传感器阵列测量目标产生的磁矢量扰动信息,通过滤波、门限检测、基函数展开等技术将有效扰动从复杂的背景场中提取出来,并结合速度估计、磁梯度张量矩阵算法研究任意...     

一种快速的飞行器布局方案优选方法

本文引用系统模糊优选理论与基于数理统计正交表的设计法相结合来处理飞行器布局方案优选问题，并举例说明具体用法，文中方法对整个飞行器方案选择有一定参考价值。     

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.     

Optimized Fuzzy Clustering Method for Health Monitoring of Shield Tunnels

Since health monitoring of shield tunnels generally employs multiple sensors belonging to different types,a fine analysis on massive monitoring data,as well as further quantitative health grading,is really challenging.An optimized fuzzy clustering analysis method based on the fuzzy equivalence relation is proposed for health monitoring of shield tunnels.Clustering results are auto-generated by using fuzzy similarity-valued map.The results follow the idea of unsupervised classification.Moreover,a convenient new health index HI is proposed for a fast tunnel-health grading.A case study on Nanjing Yangtze River Tunnel is presented to validate this method.Three types of indicators,namely soil pressure,pore water pressure and steel strain,are used to develop the clustering model.The clustering results are verified by analyzing the engineering geological conditions;the validity and the efficacy of the proposed method are also demonstrated.Further,the fuzzy clustering analysis also represents a potential for identifying abnormal monitoring data.This investigation indicates the fuzzy clustering analysis method is capable of characterizing the fuzziness of tunnel health,and beneficial to clarify the tunnel health evaluation uncertainties.     

Coupled Stress-Electricity Model for Electromagnetic Emission Induced by Concrete Fracture

Electromagnetic emission induced during concrete fracturing is of great significance to health monitoring of concrete structures.A coupled stress-electricity model is established by analyzing the interaction between stress and electricity during concrete fracturing.And based on this model,the electromagnetic radiation parameters are calculated.The theoretical calculation is well coincident with experimental results.This work provides theoretical support for concrete testing system.