Cocoon在3G业务管理平台门户的应用研究

随着Web应用的广泛普及,采用合适的Web门户开发框架,建立更加人性化的用户门户,满足用户对Web站点门户越来越高的要求就显得十分必要.Apache Cocoon是一个优秀的基于组件技术和XML的Web发布框架,文中简要介绍了Cocoon的基本特点和原理,并结合一个面向3G业务的用户门户的开发事例,分析了使用Cocoon这种框架的优点.     

太阳风里高能电子自发辐射的Langmuir波

本文讨论太阳风里太阳耀班高能电子产生的Langmuir波的自发辐射。理论估计得出,在时间尺度γ_km-1内,Langmuir波自发辐射的电场幅值约为10-3-10-2mV/m(依赖于高能电子速度分布的具体形式),这里γ_km为在波数k处的峰增长率。此理论结果比飞船在太阳风里的观测值低2-3个数量级。因此认为,太阳风里自发辐射产生的Langmuir波辐射是可以忽略的。      

正确实施CE106发射试验的两个基本条件

提出了正确实施GJB151A/152A-97CE106发射试验的两个基本条件。只要发射机天线端口基波峰值功率和测试系统配置参数符合了这两个基本条件,超过极限值的任何谐波和杂波将会显示在测试结果中。     

一氧化氮冷却率的变化及其作用

利用最新的NO经验公式,计算了近两个太阳活动周期100-200km间NO的冷却率,研究了太阳和地磁活动对NO和O冷却率的影响。进一步证明了NO冷却是120km以上热层的主要冷却过程。      

Online condition diagnosis for a two-stage gearbox machinery of an aerospace utilization system using an ensemble multi-fault features indexing approach

China manned space station is designed to operate for over ten years. Long-term and sustainable research on space science and technology will be conducted during its operation. The application payloads must meet the ‘‘long life and high reliability" mission requirement. Gearbox machinery is one of the essential devices in an aerospace utilization system, failure of which may lead to downtime loss even during some disastrous catastrophes. A fault diagnosis of gearbox has attracted attentions for its significance in preventing catastrophic accidents and guaranteeing sufficient maintenance. A novel fault diagnosis method based on the Ensemble Multi-Fault Features Indexing(EMFFI) approach is proposed for the condition monitoring of gearboxes. Different from traditional methods of signal analysis in the one-dimensional space, this study employs a supervised learning method to determine the faults of a gearbox in a two-dimensional space using the classification model established by training the features extracted automatically from diagnostic vibration signals captured. The proposed method mainly includes the following steps. First, the vibration signals are transformed into a bi-spectrum contour map utilizing bi-spectrum technology,which provides a basis for the following image-based feature extraction. Then, Speeded-Up Robustness Feature(SURF) is applied to automatically extract the image feature points of the bi-spectrum contour map using a multi-fault features indexing theory, and the feature dimension is reduced by Linear Discriminant Analysis(LDA). Finally, Random Forest(RF) is introduced to identify the fault types of the gearbox. The test results verify that the proposed method based on the multi-fault features indexing approach achieves the target of high diagnostic accuracy and can serve as a highly effective technique to discover faults in a gearbox machinery such as a two-stage one.     

Experimental investigation on dynamic response of flat blades with underplatform dampers

One test rig with three blades and two Under-Platform Dampers (UPDs) is established to better understand the dynamical behavior of blades with UPDs. A pre-loaded spring is used to simulate the centrifugal load acting on the damper, thereby achieving continuous adjustment of the pressing load. UPDs with different forms, sizes and materials are carefully designed as experimental control groups. Noncontact measurement via a laser Doppler velocimeter is employed and contact excitation which is performed by an electromagnetic exciter is adopted to directly obtain the magnitude of the excitation load by a force sensor mounted on the excitation rod. Particular attention is paid to the influence of the contact status of the contact surfaces, e.g. the pressure-sensitive paper is used to measure the effective contact area of the UPDs. The experimental variables are selected as the centrifugal force, the amplitude of the excitation force, the damper mass, the effective contact area, and the damper material. The Frequency Response Function (FRF) of the blade under different experimental parameters is obtained by slow frequency sweep under sinusoidal excitation to study the influence of each parameter on the dynamic characteristics of the blade and the mechanism analysis is carried out combined with the experimental results.     

某控制组合电磁发射超标分析及解决方案

本文针对电磁兼容测试中,传导发射和辐射发射超过标准限值要求问题,首先介绍了发射超标主要原因,继而梳理超标定位方法和常用电磁兼容加固措施。并以某控制组合为例,应用上述方法制定排查方案,完成电磁发射测试超标问题的干扰定位;并针对干扰源,使用线缆添加屏蔽层、电源端口添加滤波器等加固措施,经验证,措施有效,发射明显降低。同时,本文所述排查方法和加固措施,可为后续电子产品电磁兼容性设计和通过测试提供参考。     

塑料与纸包装材料的生命周期评价研究

由于塑料在自然界中的难降解,“以纸代塑”引起人们的关注,然而生命周期的评价结构表明,纸在环境保护方面并不具有优势,本文采用简式生命周期矩阵对这两种包装材料进行了分析和评价。     

航天器在轨泄漏声发射信号特征分析

载人航天器的防护要求不断增强, 在轨泄漏检测的重要性日益凸现。文章阐述了航天器在轨泄漏声发射检测的基本原理, 介绍了泄漏检测系统的基本组成及性能参数。通过泄漏声发射检测实验, 利用频谱分析法和特征参数分析法对不同孔径圆形漏孔泄漏产生的声发射信号进行研究, 得到了泄漏声发射信号的频谱和特征参数。实验结果表明, 机械泵运行产生的背景噪声信号主要分布在10 kHz以下, 而气体泄漏产生的是高频声发射信号, 且漏孔越小, 信号能量越小, 高频成分所占比例越大。该研究对于航天器在轨泄漏的检测及泄漏量评估等具有实际意义。     

基于融合伽马变换全卷积神经网络的火星地貌分割方法

为了让火星巡视器在有限的寿命内能获得更多的科学产出,需要提高巡视器在火星表面的自主通过能力,而火星表面地貌类型是评估巡视器可通过性的重要信息。因此,提出了融合伽马变换的全卷积神经网络(FCN)火星表面地貌分割算法。首先,考虑对巡视器通过性的影响,确认地貌分类的类型,基于好奇号拍摄的火星地表图像Mars32K数据库,构建地貌分割数据集;其次,使用自适应伽马变换(AGT)对灰度单一的火星图像进行预处理,减弱了光照等因素干扰;最后,利用数据集训练一个FCN,以实现对火星表面地貌的分割预测。仿真结果表明:网络测试准确率达到83.03%,地形分割预测结果可靠,验证了方法的可行性。