Substitution of satellite-based land surface temperature defective data using GSP method

Land surface temperature (LST) as an important environmental variable provides valuable information for earth environmental system modelling. Currently, LST is obtained through satellite thermal sensors at various spatial and temporal resolutions. Although spatially continuous satellite-based LST measurements are intended to overcome the shortcomings of sparse ground-based LST measurements, LST images often contain anomalous values due to the existence of clouds or sensor malfunctioning. The problem becomes more serious where the users deal with high spatial resolution characterized by low temporal resolution. This study examines the capability of a newly developed graph signal processing (GSP) method using two-dimensional single-date thermal data. For this purpose, four Landsat/TIRS datasets are analyzed. The data of five elliptical regions on thermal images are eliminated and then reconstructed through the GSP method and using the LST values of the enclosing rectangles containing the ellipsoids. The results indicate that the temperature variation determined by the GSP method generally conforms to the original image LST values. According to a correlation test conducted on the original image LST and those obtained through the GSP method, the values vary from 58% to 95%, which is an above-the-average rate (RMSE from 0.69 to 2.27). The statistical analysis of the original image LST in both the elliptical regions and the enclosing rectangles containing the ellipsoids indicates that an increase in the variance of LST data causes an increased error in the calculation of temperature by the GSP method, and vice versa. The results of the analysis of variance (ANOVA) and Duncan test indicated that an increase in the number of the non-zero spectral bins would result in increased RMSE values for all the dates and the regions. Moreover, the model errors were significant at the 0.05 level across all the image date and five elliptical study regions. Based on the results, the use of this method is recommended for the reconstruction of LST missing values, where dissimilarity of atmospheric conditions limits the use of other methods that depend on the time series data of various dates and a great deal of data calculation.     

八丝热线探针制作及其应用

介绍了八丝热线探针的制作工艺,有效地消除了各热丝探头之间的电信号干扰和动力学干扰。实验中使用该探针检测到了湍流边界层内的大尺度旋涡,并测量了它们的强度和尺度。与此同时还获得了速度、湍流强度和功率谱等流场参数,结果与现有典型数据一致。说明本文所述的多丝热线探针具有很强的实用性。     

干式变压器数据采集与控制系统的设计

介绍了一种基于V/F变换的高精度干式变压器数据采集与控制系统 ,采用LM2 3 1A/F变换芯片和89C5 2单片机实现工业现场测量对象的A/D转换。V/F变换器具有高精度 ,高线形度 ,且外围电路简单的特点。采用单片机直接与V/F变换器连接进行A/D转换 ,不需要额外的硬件电路 ,充分利用硬件资源 ,精心设计软件 ,系统分辨率可达 12位 ,转换精度可达 0 .0 2 %。当传感器与上位机距离较远时 ,可以采用RS -4 85接口或无线数据发送 /接收模块实现远距离的数据通信     

TC4钛合金的微动磨损及防护

对Ｔｉ－６Ａｌ－４Ｖ合金在１８℃，１００℃２５０℃下的微动磨损特性及防护工艺进行了研究。表明：该合金微动磨损的主要磨损形式是疲劳脱层，其磨损量随温度升高而下降，高渐微动磨损量与磨损区表面所形成的氧化层的性质及厚度有关。     

天线分析仪控制系统的研制

介绍了天线分析仪控制系统研制过程中的硬件设计关键技术,并提出了轴角转换器控制卡的设计方案,实验表明该方案具有一定的实用性与通用性。     

L8飞机从风洞到飞行的抖振相关性研究

介绍了Ｌ８飞机抖振边界修正结果，并与同类飞机Ｌ２９飞行抖振边界进行了比较；给出了Ｌ８飞机抖振边和轻度抖振边界预测值。同时将预测抖振边界和试飞得到的抖振边界作了比较。     

DSP的数学原理及在实时系统的应用

制造系统里所用的微处理器中，单片机只能做逻辑处理和简单数学计算，而数字信号处理器（DSP）可进行相当复杂的数学处理。本文概述DSP的数学原理及其技术特点，介绍了基于DSP智能控制器在制造业中实时测控系统的应用实例。     

飞机V型外倾双垂尾载荷校准技术

根据垂尾载荷校准及建模需求,对飞机V型外倾双垂尾结构受载情况进行了分析和简化,确定了校准试验载荷,研制了垂尾载荷校准试验专用龙门梁架。采用液压协调加载技术,完成了外倾双垂尾载荷校准试验,建立了满足测载要求的载荷模型。此种方法充分利用了左右垂尾外倾、双垂尾之间空间较大的特点,对左右垂尾对称施加向外的单点、多点载荷,加载载荷侧向分量左右自平衡,垂向分量依靠飞机自身重量即可平衡,飞机不需要复杂的固定与约束。试验中采用先搭建龙门框架,再停放飞机的方法,降低了试验风险、加快了试验进度,取得了良好的试验结果,对其他此类结构的载荷校准具有一定的借鉴作用。     

一种新型电解电源设计及其实验研究

从电解电源的高频高效化、绿色化、数字化及智能化的发展方向出发,利用电流增强原理,设计了一种开关管带并联辅助网络的零电压全桥软开关电路拓扑,具有节能增效、可靠性高的优点.采用TMS320LF 2407A为核心控制芯片.得到了全桥移相PWM输出波形,并设计了反馈信号调理电路与后端驱动电路,电路形式简单紧凑,实现了软开关电解电源的全数字化控制.     

TA2/Ni+Nb中间层/1Cr18Ni9Ti扩散焊接头的组织与性能

采用50μm纯Ni箔+10μm纯Nb箔复合中间层,在焊接温度840℃,880℃和920℃,压力4MPa以及保温时间60min的工艺下,对工业纯钛TA2和1Cr18Ni9Ti不锈钢进行了真空扩散焊实验,测试了接头的抗拉强度,并利用光学显微镜(OM)、扫描电镜(SEM)、能谱(EDS)和X射线衍射(XRD)对接头的组织结构、元素分布以及断口形貌和相组成进行了分析。结果表明:Ni+Nb复合中间层的存在成功阻止了Fe,Ti互扩散,实现了TA2与1Cr18Ni9Ti的可靠连接,接头的拉伸强度达到261MPa,该强度主要受剩余Ni箔控制,且焊接温度的变化对其影响不大。接头所生成反应层自不锈钢一侧起分别为FeCrNi固溶体、剩余Ni,Ni3Nb,剩余Nb以及TiNb魏氏体。