基于脑电功率谱密度的作业人员脑力负荷评估方法

脑力负荷状态的准确识别对减少因作业人员无效脑力负荷导致的人因事故具有重要意义。针对人-机系统中作业人员脑力负荷客观评估问题开展了基于MATB-Ⅱ平台的3种不同脑力负荷水平下的航空情境实验，记录16名被试的NASA任务负荷指数（NASA-TLX）量表数据和脑电（EEG）信号，提出了一种基于脑电功率谱密度（PSD）和支持向量机（SVM）的个体脑力负荷评估方法。结果表明：随着实验设计脑力负荷水平增加，被试的主观脑力负荷得分显著提高（p<0.001），这表明该实验任务设计较好地诱发了低负荷、中负荷和高负荷情境。在此基础上，通过网格搜索法确定个体脑力负荷评估模型的统一优化参数，惩罚系数取3 000，核函数参数取0.000 1，模型测试正确率达到0.966 5±0.029 8，宏平均的受试者工作特征曲线下的面积（Macro-AUC）达到0.991 0±0.011 4。本文为作业人员脑力负荷状态的客观和准确评估提供了一种新的办法，为后期作业人员脑力负荷状态的实时判别提供模型基础。     

An improved approach for rainfall estimation over Indian summer monsoon region using Kalpana-1 data

In this paper, an improved Kalpana-1 infrared (IR) based rainfall estimation algorithm, specific to Indian summer monsoon region is presented. This algorithm comprises of two parts: (i) development of Kalpana-1 IR based rainfall estimation algorithm with improvement for orographic warm rain underestimation generally suffered by IR based rainfall estimation methods and (ii) cooling index to take care of the growth and decay of clouds and thereby improving the precipitation estimation.     

A comprehensive study of the 2016 Mw 6.0 Italy earthquake based on high-rate (10 Hz) GPS data

The 2016 M_w 6.0 Italy earthquake is successfully recorded by the near-field 10?Hz GPS and 200?Hz Strong Motion (SM) stations, providing valuable data for this study. A comprehensive study of this earthquake is carried out based on GPS data, which contains coseismic deformations analysis, noise analysis, seismic wave picking, and magnitude determination. The noise of most GPS-derived displacement waveforms can be described as a combination of white noise, flicker noise, and random walk noise after the earthquake occurrence, and the spectral indices vary significantly for most stations, implying that the seismic signals have affected the noise characteristic of GPS-derived displacement waveforms. S-transform is employed to assess the GPS capability to detect the seismic arrival time. The SM station AMT and the GPS station AMAT are in good agreement in seismic wave picking, and the difference is only 1.2?s in the north component, suggesting that the outcome of seismic wave picking using GPS data is reliable. Then, a classic empirical formula is employed to determine the moment magnitude. A robust moment magnitude (Mw 5.90) can be estimated by the nine GPS stations with about 23.9?s. If four GPS stations near the epicenter is chosen to determine the magnitude, it only take 13.0?s to retrieve a reliable preliminary (Mw 5.82) magnitude, which is 5.4?s ahead of nine stations. In addition, Cross Wavelet Transform (XWT) is adopted to measuring the correlation and phase relationship between GPS and SM records. The result of XWT analysis indicates 10?Hz GPS is capable of capturing reliable and accurate coseismic dynamic deformations, as evidenced by the XWT-based semblance being close to 1 between GPS and SM records. The above results confirm the capability of 10?Hz GPS to capture coseismic dynamic deformations, detect seismic arrival time, and determine earthquake magnitude. Moreover, rapid magnitude determination based on 10?Hz GPS data can be regarded as an important supplement to Earthquake Early Warning (EEW).     

A new structural reliability index based on uncertainty theory

The classical probabilistic reliability theory and fuzzy reliability theory cannot directly measure the uncertainty of structural reliability with uncertain variables,i.e.,subjective random and fuzzy variables.In order to simultaneously satisfy the duality of randomness and subadditivity of fuzziness in the reliability problem,a new quantification method for the reliability of structures is presented based on uncertainty theory,and an uncertainty-theory-based perspective of classical Cornell reliability index is explored.In this paper,by introducing the uncertainty theory,we adopt the uncertain measure to quantify the reliability of structures for the subjective probability or fuzzy variables,instead of probabilistic and possibilistic measures.We utilize uncertain variables to uniformly represent the subjective random and fuzzy parameters,based on which we derive solutions to analyze the uncertainty reliability of structures with uncertainty distributions.Moreover,we propose the Cornell uncertainty reliability index based on the uncertain expected value and variance.Experimental results on three numerical applications demonstrate the validity of the proposed method.     

α-l型区间可靠性分析方法及其工程应用

在区间非概率可靠性模型的基础上,以区间长度l和区间下限α为结构系统变量的输入参数,重新定义了一种新的可靠性指标,分析得到了这种可靠性分析方法的判定依据;在此基础上,在线性和非线性条件下讨论了结构可靠度的计算方法.以某型飞机防冰引气管结构为例,进一步探讨了所提方法在共振可靠性分析当中的工程应用.     

基于中介理论与交通特性的终端区态势评价

终端区交通态势的准确度量是制定并实施流量管理措施的重要依据之一。通过提取终端区宏观与微观的交通特性,从进离场及总量3个维度构建态势的指标描述,并进一步采用中介理论中的真值程度度量与熵权法建立了一种客观的终端区飞行区交通态势模糊综合评价方法,实现客观、准确的交通态势判别与样本间量化比较。选取国内典型繁忙终端区的实测数据,验证了评价方法与特性指标的有效性。     

柴油发动机热管理系统的高度特性

基于空中和高原环境的特点,研究了柴油发动机散热器传热性能的高度特性;进一步建立了发动机热管理系统的流动和传热模型,研究了热管理系统的高度特性;给出了基于最小功耗原则的热管理系统运行参数匹配方法.在固定系统热负荷条件下的计算结果表明:随着海拔高度的增加,在空中环境下,散热器的散热性能先上升后下降,热管理系统中冷却液和润滑油温度先下降后上升,热管理系统所需的最小功耗先减小后增加;在高原环境下,散热器的散热性能随高度增加大幅下降,热管理系统中冷却液和润滑油温度大幅上升,发动机出现过热问题,为了给发动机提供足够的散热能力,热管理系统所需要的最小功耗随着海拔高度的增加而大幅增加.      

温度对飞机燃油射流泵工作特性影响

建立了射流泵数学模型,采用数值计算方法对其工作特性进行了模拟,搭建了实验台,采用RP-3燃油,通过实验数据验证了模型的正确性.在此基础上,分别选择了RP-3和JET-A两种燃油,计算了从-40℃~40℃温度下,不同操作压力对射流泵流量比的影响.结果表明:燃油温度高于0℃时,温度对射流泵工作特性影响并不明显,随着温度的降低,射流泵性能与标准温度下（20℃）偏差越来越大,且压比越高此偏差越明显.当温度高于0℃时,采用RP-3和JET-A燃油性能相差不大,RP-3燃油性能略优于JET-A燃油,但是在低温下,RP-3燃油性能远高于JET-A燃油.因此当燃油温度较低且压比较高时,必须充分考虑温度对射流泵特性的影响.      

平板式预膜喷嘴初次雾化特性试验

为深入了解平板式预膜喷嘴初次雾化特性,试验研究不同进口条件对平板式预膜喷嘴初次雾化特性的影响规律。试验采用了背光照明和片状激光照明相结合的高频拍摄手段分别获得液膜俯视和侧视破碎形态,同时运用本征正交分解(POD)法和液膜边缘定位等分析方法进行光学图像结果后处理,获得表征平板式预膜喷嘴初次雾化特性三个物理量:液膜波动频率、破碎距离和横向不稳定波长。试验结果表明:①通过分析侧视和俯视破碎形态,平板式预膜喷嘴液膜破碎形态可分为三类:末端破碎、波浪脱落和表面剥离,进口韦伯数对预膜喷嘴破碎形态的影响占主导地位;②把POD法和液膜边缘定位方法等相结合方法应用到高频非接触光学喷嘴雾化图像的后处理分析中,是一种非常有效的数据后处理方法;③液膜初次雾化特性主要受到进口韦伯数和气液动量比的影响,破碎距离和横向不稳定波长都随进口韦伯数的增加而降低,液膜表面不稳定波动频率随进口韦伯数的增加而增加,所获得的经验关系式与试验数据吻合较好。所获得的进口参数对液膜破碎形态和雾化特性的影响规律为喷嘴后续优化设计提供了依据。     

点目标假设下的二维精度体系研究

点目标假设下,在二维圆概率偏差线性公式的基础上,给出了基于纵横向均方根误差分段的精确公式。同时应用概率论正态分布理论,对二维情况下均方根误差、圆概率偏差和概率偏差的相互关系进行了研究,通过理论推导和数值计算给出了二维精度指标相互转换的拟合公式,完善了满足工程应用的二维精度体系。研究结果可在精度指标的论证、设计和考核中使用。