磁悬浮飞轮用新型异极性永磁偏置径向磁轴承

为满足应用于航天器姿控、储能的磁悬浮飞轮采用的扁平构型或高转速转子需求,提出了一种新型异极性永磁偏置径向磁轴承,具有轴向长度短、结构紧凑的优点,有利于扁平转子或高速转子的磁悬浮控制。在新型径向磁轴承磁路分析的基础上,通过应用于50 Nms反作用飞轮的设计实例,经仿真分析,校验了新型径向磁轴承的基本性能;并与传统同极性永磁偏置径向磁轴承进行了比较,验证了新型径向磁轴承的优点。     

压缩空气中悬浮油检测采样方法研究

设计了一套压缩空气中悬浮油检测的采样方法,并对该方法的采样时间、采样流量、采样吸收效率等进行了定量化试验和论证,确认了该方法的适用性。     

基于分布式信源编码和感兴趣区域编码的干涉多光谱图像压缩

基于干涉多光谱图像特点和应用环境要求,提出一种基于分布式信源编码和感兴趣区域编码的干涉多光谱图像压缩算法。编码端通过关键帧预测出边信息帧,然后联合估计的边信息帧和插值分布的概率模型在编码端进行比特平面码率估计,最后采用基于率失真提升的感兴趣区域编码,调整图像不同区域的率失真斜率来进行更合理的码率分配。实验结果表明,该算法比传统算法更好地保护了多光谱图像的光谱信息。在不同压缩比的情况下,这种编码方式在干涉多光谱图像压缩系统中可获得较好的效果,算法复杂度低。     

船载测控系统遥控小环误码分析与解决方案

针对某型船载测控系统中遥控设备存在遥控小环比对误码故障,在分析遥控小环接收解调机理基础上,通过模拟仿真和试验研究,建立了遥控副载波收发相位延迟与数据解调间的关系模型,提出了解决遥控小环设备误码问题的设计方案。试验结果表明,该方案对于解决船载测控系统中遥控小环比对误码问题是有效的、可靠的,降低了遥控指令小环比对错误的虚、漏概率,确保了遥控指令发送状态信息的实时监视。     

民用客机增升装置气动噪声研究进展

随着民用飞机数量的快速增加,航空噪声问题日益引起世界范围的关注。增升装置作为重要的机体噪声源之一以其流动复杂性和声源多样性成为民用航空气动声学的难点之一,欧美各国为此开展了大量的研究。总结了增升装置气动噪声的产生机理以及控制措施的研究现状,在此基础上还特别关注了目前工业部门气动与声学的设计思想及需求。     

Identifying areas of high economic-potential copper mineralization using ASTER data in the Urumieh–Dokhtar Volcanic Belt,Iran

This study investigates the application of spectral image processing methods to ASTER data for mapping hydrothermal alteration zones associated with porphyry copper mineralization and related host rock. The study area is located in the southeastern segment of the Urumieh–Dokhtar Volcanic Belt of Iran. This area has been selected because it is a potential zone for exploration of new porphyry copper deposits. Spectral transform approaches, namely principal component analysis, band ratio and minimum noise fraction were used for mapping hydrothermally altered rocks and lithological units at regional scale. Spectral mapping methods, including spectral angle mapper, linear spectral unmixing, matched filtering and mixture tuned matched filtering were applied to differentiate hydrothermal alteration zones associated with porphyry copper mineralization such as phyllic, argillic and propylitic mineral assemblages.     

高温吸波材料研究新进展与趋势

对最近报道的耐温>1 000℃的高温吸波材料进行了回顾,主要介绍了碳和陶瓷类无机耐高温吸波材料;同时对在纳米技术、静电纺丝技术等研究中报道的新型耐高温材料应用为电磁吸收材料进行了展望。     

非接触高温测量技术发展与现状

非接触高温测量技术已经成为2 000℃以上高温目标温度测量的主要手段,其发展水平直接制约着国防科技工业尤其是高速飞行器热防护及隐身性能等关键技术领域的发展。本文综述了当前各类非接触高温测量技术的研究现状、技术优缺点及应用前景,并对未来非接触高温测量技术的发展进行了展望。     

基于数值微分方法的卫星陀螺故障诊断(英文)

提出一种基于数值微分的卫星陀螺故障诊断方法。通过引入代数可观测的概念,将故障诊断问题转化为求解数值微分问题。并根据卫星姿态运动学方程证明了陀螺故障的代数可观性。然后通过高增益观测器的方法来近似姿态敏感器测量输出的数值导数,并利用李雅普诺夫理论分析和设计高增益观测器。基于陀螺故障的代数可观性和星敏感器测量输出的数值微分,可以直接得到陀螺组件的故障估计值。最后,通过突变、缓变和并发故障等仿真算例验证了算法的有效性,仿真结果表明所提出的方法不仅可以检测故障的发生,而且能够估计故障幅值。     

Aerial-BiSeNet: A real-time semantic segmentation network for high resolution aerial imagery

The aircraft system has recently gained its reputation as a reliable and efficient tool for sensing and parsing aerial scenes. However, accurate and fast semantic segmentation of high-resolution aerial images for remote sensing applications is still facing three challenges: the requirements for limited processing resources and low-latency operations based on aerial platforms, the balance between high accuracy and real-time efficiency for model performance, and the confusing objects with large intra-class variations and small inter-class differences in high-resolution aerial images. To address these issues, a lightweight and dual-path deep convolutional architecture, namely Aerial Bilateral Segmentation Network (Aerial-BiSeNet), is proposed to perform real-time segmentation on high-resolution aerial images with favorable accuracy. Specifically, inspired by the receptive field concept in human visual systems, Receptive Field Module (RFM) is proposed to encode rich multi-scale contextual information. Based on channel attention mechanism, two novel modules, called Feature Attention Module (FAM) and Channel Attention based Feature Fusion Module (CAFFM) respectively, are proposed to refine and combine features effectively to boost the model performance. Aerial-BiSeNet is evaluated on the Potsdam and Vaihingen datasets, where leading performance is reported compared with other state-of-the-art models, in terms of both accuracy and efficiency.