From the Solar Wind to the Magnetospheric Substorm

This paper gives a brief outline of the progression from the first substorm model developed in Ref.[4] and[8] based on Kennel's ideas[3], to the present views about the mechanism by which solar wind kinetic energy is converted to electromagnetic energy at the Bow Shock and by which this energy is transferred to the magnetosphere in the form of current; about the transformation of the energy of this current to gas kinetic energy of convecting plasma tubes, and, finally, the back transformation of gas kinetic energy to electromagnetic energy in secondary magnetospheric MHD generators. The questions of the formation of the magnetospheric convection system, the nature of substorm break-up, and of the matching of currents in the magnetosphere-ionosphere system are discussed.      

The Nonlinear Model of the Response of Airglow to Gravity Waves

In this paper, we develope a time-dependent, nonlinear, photochemical-dynamical 2-D model which is composed of 3 models: dynamical gravity wave model, middle atmospheric photochemical model, and airglow layer photochemical model. We use the model to study the effect of the gravity wave propagation on the airglow layer. The comparison between the effects of the different wavelength gravity wave on the airglow emission distributions is made. When the vertical wavelength of the gravity wave is close to or is shorter than the thickness of the airglow layer, the gravity wave can make complex structure of the airglow layer, such as the double and multi-peak structures of the airglow layers. However, the gravity wave that has long vertical wavelength can make large scale perturbation of the airglow emission distribution.     

Laser Hardening of Metals

The first experiments on hardening metals by laserpeening induced residual compressive stress in the sur-face of metals for improving their resistance to cracking,stress corrosion and fatigue took place more than 30years ago. However, only today, with the development ofhigh-intensity pulse repetitive rate lasers, this methodstarts to compete to traditional peening, which use influ-ence of small metal balls.Laser peening uses pulses with high intensity 109￣1010 W/cm2 [1]. The laser energy abso…     

飞行数据处理的非线性鲁棒滤波技术

研究了飞机飞行试验数据处理中的非线性鲁棒滤波技术,分析给出了实际飞行条件了一种飞机运动的新模型,它是含不确定参数项的非线性模型,同时给出了该不确定参数项的解析的表达形式,然后研究了对应于此类非线不确定系统的鲁棒滤波算法,得到了该滤波问题的充分解,并对该解进行扩展线性化处理,得么了一个较易实现的扩展鲁棒滤波算法,最后利用该算法对实际的数据进行了处理,结果表明,所提出的算法是切实可行的。     

孔探工作在发动机维护中的重要性

孔探越来越成为节省发动机维修成本和其日常监控的有效途径。但要圆满地完成工作,内窥镜本身的技术水平和操作者的经验是不可缺少的两大要素。     

Science Missions Using CubeSats

As the role of missions and experiments carried out in outer space becomes more and more essential in our understanding of many earthly problems, such as resource management, environmental problems, and disaster management, as well as space science questions, thanks to their lower cost and faster development process CubeSats can benefit humanity and therefore, young scientists and engineers have been motivated to research and develop new CubeSat missions. Not very long after their inception, CubeSats have evolved to become accepted platforms for scientific and commercial applications. The last couple of years showed that they are a feasible tool for conducting scientific experiments, not only in the Earth orbit but also in the interplanetary space. For many countries, a CubeSat mission could prompt the community and young teams around the world to build the national capacity to launch and operate national space missions. This paper presents an overview of the key scientific and engineering gateways opened up to the younger scientific community by the advent and adaptation of new technology into CubeSat missions. The role of cooperation and the opportunities for capacity-building and education are also explored. Thus, the present article also aims to provide useful recommendations to scientists, early-career researchers, engineers, students, and anyone who intends to explore the potential and opportunities offered by CubeSats and CubeSats-based missions.      

应用深度核极限学习机的航空发动机部件故障诊断

运用传统单隐层的神经网络进行航空发动机部件故障诊断识别受其浅层结构影响,精度不高,而用深度置信网络(Deep belief network,DBN)等深度学习方法则存在耗时、参数训练复杂的问题。为解决现有的基于数据驱动的发动机部件故障诊断方法的不足,提高诊断精度,缩短训练时间,将核方法和多层极限学习机(Multilayer extreme learning machine,M-ELM)相结合,提出一种深度核极限学习机(Deep kernel extreme learning machine,DK-ELM)。算法首先利用深度网络结构对输入数据进行逐层的特征提取,抽象得到的特征通过核函数实现高维空间映射分类。这些措施有利于提高算法的分类精度和泛化性能,在训练速度上较深度学习也有明显的提高。将该算法与深度学习和其他极限学习机算法进行综合比较研究,结果表明:基于DK-ELM的诊断方法有效、可靠,便于实现,为航空发动机部件故障诊断提供一个更为优秀实用的工具。     

星上智能信息处理技术发展趋势分析与若干思考

星上智能信息处理的主要任务是接收天基探测载荷数据,并在星上完成数据压缩、复杂海空环境下高价值目标的发现、识别与跟踪等工作,达到降低下传数据率、支持天基广域探测与全自主即时态势感知等目的.文章回顾了美国、德国等航天强国光学卫星的星上信息处理技术的发展现状,梳理总结了该技术的发展思路与关键指标.在此基础上,结合星上信息处理...     

2001年9月15日Cluster卫星对电流片的观测研究

2001年9月15日0430-0515 UT期间,Cluster卫星多次穿越磁尾电流片.由FGM、CIS等仪器获得了电流片磁场,粒子速度等数据变化情况,并得到了磁尾高速流的两次明显反转.本文采用GSM坐标系.利用求磁场空间梯度张量的方法获得了越尾电流,其电流密度的峰值为28nA/m2.并对电流片在垂直方向上的摆动和在晨昏方向的波动现象进行了分析.数据显示此时电流片为薄电流片并有一个变薄的趋势,其厚度大约为0.2-0.3 Re.磁场重联时地向流与尾向流均超过了1000 km/s,并测得了电流片的法线方向和运动速度,从而得到了磁尾电流片的结构和运动情况.