Spatial transformation of general sampling-aliasing frequency region for rotating-blade parameter identification with emphasis on single-probe blade tip-timing measurement

Blade-health monitoring is intensely required for turbomachinery because of the high failure risk of rotating blades. Blade-Tip Timing (BTT) is considered as the most promising technique for operational blade-vibration monitoring, which obtains the parameters that characterize the blade condition from recorded signals. However, its application is hindered by severe undersampling and stringent probe layouts. An inappropriate probe layout can make most of the existing methods invalid or inaccurate. Additionally, a general conflict arises between the allowed and required layouts because of arrangement restrictions. For the sake of economy and safety, parameter identification based on fewer probes has been preferred by users. In this work, a spatial-transformation-based method for parameter identification is proposed based on a single-probe BTT measurement. To present the general Sampling-Aliasing Frequency (SAFE) map definition, the traditional time–frequency analysis methods are extended to a time-sampling frequency. Then, a SAFE map is projected onto a parameter space using spatial transformation to extract the slope and intercept parameters, which can be physically interpreted as an engine order and a natural frequency using coordinate transformation. Finally, the effectiveness and robustness of the proposed method are verified by simulations and experiments under uniformly and nonuniformly variable speed conditions.     

Collaborative image compression and classification with multi-task learning for visual Internet of Things

Widespread deployment of the Internet of Things(Io T) has changed the way that network services are developed, deployed, and operated. Most onboard advanced Io T devices are equipped with visual sensors that form the so-called visual Io T. Typically, the sender would compress images, and then through the communication network, the receiver would decode images, and then analyze the images for applications. However, image compression and semantic inference are generally conducted separately, and t...     

空间交会中脉冲变轨燃料消耗研究

导出了空间交会中多脉冲变轨的一般算法。在此基础上,重点研究了双脉冲变轨的燃料消耗情况,提出了双脉冲变轨条件下的“不可达点”及其附近的“高耗能区域”,并给出了相应的物理解释。最后对多脉冲变轨与双脉冲变轨进行了比较。     

小卫星围绕空间站飞行动力学和控制研究

研究微小卫星围绕空间站飞行, 监视空间站运行和外观状态, 减少航天员舱外活动。这是小卫星一种新的应用概念。文章主要研究绕飞轨道动力学和稳定性, 以及在有摄动情况下保持绕飞轨道的控制策略。这种控制策略所消耗燃料非常少, 根据仿真实验结果, 绕飞卫星飞行一个月消耗的燃料可产生速度增量约为３～４ｍ ／ｓ。     

基于FDDI网络的空间站DMS网络可靠性分析

在首先介绍了空间站ＤＭＳ网络结构的基础上,通过对ＤＭＳ网络使用的ＦＤＤＩ、ＭＩＬ－ＳＴＤ－１５３３Ｂ及ＩＥＥＥ８０２．４网络在各种情况下的可靠性分析,应用概率分析的方法得出了系统可靠性的数学模型,通过图示得出ＤＭＳ网络可靠性随站点数及链路失效概率的变化情况,为空间站ＤＭＳ网络可靠性设计提供了依据。     

原子氧对航天器表面材料作用的数值模拟

对氏地球轨道环境对航天器表面材料的影响和航天器表面材料的低地球轨道环境寿命评定方法进行了介绍;并对低地球轨道环境和地面试验环境下,有无保护涂层的业胺所受冲蚀作用进行了成功的数值模拟,获得了具有工程应用价值的数值计算结果。该工作对航天器的设计具有指导意义。     

分析计算航天飞机气动系数的边界元局部方法

空间运载工具设计阶段为分析比较不同外形高超音速各流动领域的性能,广泛应用局部方法。在其原始形式下,形状函数计算繁复,并限于简单几何外形组成的轴对称体。用边界元局部方法进行形状函数计算,可免去原局部方法面积分的繁复和藉助表格的局限。对STS-1轨道飞行器外形进行计算得到丁形状函数,并根据实验数据确定领域系数。由此计算出飞行器的法向力、轴向力和俯仰力矩系数,计算结果与实验数据相符。     

国土卫星图象的校正方法

自国土普查卫星发射成功以来,针对国土星成象的几何特性,先后研制了一系列针对不同成象条件和地表状况的几何校正方法。文章的目的,就是对这些方法,从客观的角度,进行评述。找出存在的问题,并指出解决这些问题的方法。     

遥感信息多元综合分析及制图系统

运用多元综合分析的方法,对遥感制图的信息源、研究对象、地学分析作了重点研究。结合地学调查,从地理生物学原理与专题制图应用上进行了尝试。同时还概要地介绍了遥感专题机助制图地理参数辅助决策数据的应用。最后简明地阐述了遥感信息综合分析制图系统的构成及工艺流程。     

载人空间站概念

空间站与其它航天器相比,有很多优越性。文内详细地阐述了空间站的四大特征:①先入轨后上人,既提高了安全保障,又简化了研制过程;②具有自主补给消耗品、检修和更换设备的能力;③具有长期航天的素质;④具有可变更和可扩大其功能的性质。这些特征及其优越性,充分体现了空间站在未来载人航天活动中的地位和作用。