全权限数字电子控制器雷电试验方法研究

在分析机载设备雷电感应敏感度试验相关标准的基础上,对全权限数字电子控制器雷电间接效应试验方法进行研究。对雷电间接效应耦合方式进行了分类,并以某型全权限数字电子控制器为例,介绍了数字电子控制器雷电感应瞬态敏感度试验波形组、试验电平选择方法及试验过程。并对空客和波音公司机载设备雷电感应瞬态敏感度试验方法做了初步介绍。研究成果可供制定机载设备雷电防护要求及试验方案时参考。     

卫星地面接收站电磁环境的测试和分析

对卫星地面站电磁环境的测试进行介绍和分析,着重论述了测试系统、测试技术、测试中的经验及所遇到的问题。     

民用飞机适航取证中的APC/PIO评估方法

总结了MA600飞机在适航取证过程中所做的APC/PIO研究与评估工作。根据APC/PIO产生的机理及类型,理论分析了MA600的APC/PIO易感性及可能发生的类型;选择适合于运输机的预测准则,对纵向和横向的APC/PIO易感性进行了评估和分析;制定了试飞大纲,由试飞员在全动飞行模拟器上完成了试飞任务,并对其APC/PIO趋势做出了评分和评语;最后,对试飞数据进行了分析,所得结果与理论分析结果、准则评估结果及试飞员评语一致,表明MA600飞机没有发生APC/PIO的趋势,满足适航条例对APC/PIO的要求。     

Spatial modeling of flood probability using geo-environmental variables and machine learning models,case study: Tajan watershed,Iran

The main objective of this study was to produce flood susceptibility maps for Tajan watershed, Sari, Iran using three machine learning (ML) models including Self-Organization Map (SOM), Radial Basis Function Neural Network (RBFNN), and Multi-layers Perceptron (MLP). To reach such a goal, different physical-geographical factors (criteria) were integrated and mapped. 212 flood inventory map was randomly divided into training and testing datasets, where 148 flood locations (70%) were used for training and the remaining 64 locations (30%) were employed for testing. Model validation was performed using several statistical indices and the area under the curve (AUC). The results of the correlation matrix showed, three factors slope (0.277), distance from river (0.263), and altitude (0.223) were the most important factors affecting flood. The accuracy evaluation of the flood susceptibility maps through the AUC method and K-index shows that in the validation phase RBFNN (AUC = 0.90) outperform the MLP (AUC = 0.839) and SOM (AUC = 0.882) models. The highest percentage flood susceptibility of the area in MLP, SOM and RBFNN models is related to moderate (28.7%), very low (40%) and low (37%), respectively. Also, the validation results of the models using the Relative Flood Density (RFD) approach showed that very high class had the highest RFD value.     

Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India

Flooding is the overflow of water from stream, river, lake and sea that occurs all over the world and has disastrous effects on human society and environment. Frequent severe flood event in eastern India cause of death and damages every year so, the development of flood susceptibility method is needed for identifying the flood vulnerability areas to reduce the damages. Techniques of Remote Sensing (RS) and Geographical Information System (GIS) can help to flood susceptibility modeling by the accrued and analyzing huge amount of data in short time. The main objectives of this study are to determine the effectiveness of Evidence Belief Function (EBF), binomial Logistic Regression (LR) and ensemble of EBF and LR (EBF-LR) model with RS and GIS techniques for flood susceptibility mapping and spatial prediction of flood-susceptible areas in the Koiya river basin of West Bengal, India. Eight flood conditioning factors; Land use and land cover (LULC), soil, rainfall, normalized differences vegetation index (NDVI), distance to river, elevation, topographic wetness index (TWI) and stream power index (SPI) have been used, and total 264 historical flooding points were mapped, and randomly divided in to training (70%) and validating (30%) dataset. Flood susceptibility map has been generated by applying EBF, LR and ensemble EBF-LR method with the help of training and eight causative factors dataset. The maps have been divided in to six classes; extremely low, very low, low, moderate, high and very high. The receiver operating characteristic (ROC) curve has been used to accuracy assessment of the susceptibility map, and the area under curve (AUC) disclosures 87.9%, 85.2% and 84.1% prediction rate for the EBF-LR, EBF and LR model, respectively. This study is helpful to flood management program, dissection makers and planning in local administrative level.     

电流型传感器电源线传导敏感性抗扰度改进设计

针对飞机电流型传感器无法满足GJB151A-97中CS101电源线传导敏感度验证测试的问题,介绍了电流型传感器电源线传导敏感度的测试方法,在测试数据的基础上对典型的电流型传感器敏感特性进行分析,提出了抗干扰设计的措施,并进行有效的验证和应用。     

基于Agent理论的飞机敏感性评估方法

在以信息战为核心的现代战争中,各机种、多平台之间的信息交互成为影响战争结果的关键因素。因此进行飞机敏感性设计时,应当置于信息对抗的环境中并考虑信息交互过程。本文阐述了网络中心战的理论,建立了基于Agent理论的战场模型以及飞机对抗模型,通过对Agent对抗过程中的3个阶段（探测阶段、信息交互阶段、作战阶段）进行建模仿真,研究了预警机探测能力、飞机雷达散射截面（RCS）、信息传输时延和红外电子对抗能力等因素对飞机敏感性的影响,得到了雷达特征参数、飞机RCS与探测概率之间的关系,传输时延与先敌发射概率之间的关系,以及红外干扰弹的最优发射区间,为飞机的敏感性设计提供了一定的依据。     

不同机载电子干扰条件下的飞机敏感性模型

对典型作战场景中雷达制导导弹威胁下的飞机敏感性进行了研究,分别从导弹发射和命中2个方面,建立了远距离支援干扰(SOJ)和自卫干扰(SPJ)条件下的飞机敏感性模型。首先分析了在典型电子对抗措施(ECM)和电子抗干扰措施(ECCM)条件下的雷达探测距离;其次提出了用于评价欺骗干扰的有效时间模型,结合典型制导律,建立了不同干扰条件下导弹命中分析的仿真模型;最后对不同干扰条件下的飞机敏感性进行了仿真实验。结果表明:电子干扰一定程度上能够降低非隐身战机的敏感性,但是对于低雷达散射截面(RCS)或者采用先进抗干扰措施的武器系统而言,电子干扰对飞机敏感性降低的作用有限甚至有害。研究结果对现役飞机通过电子干扰降低敏感性以及对在研飞机的敏感性设计具有一定的参考意义。     

射频接收机电磁敏感性行为级分析方法

提出一种基于简化Volterra级数模型的射频接收机电磁敏感性(EMS,Elec-tromagnetic Susceptibility)行为级仿真方法.利用3阶简化Volterra级数模型对接收机EMS进行分析,根据EMS频响特性,提出一种通用的EMS判据,并给出敏感度阈值仿真求解流程图.弥补了以往在接收机EMS分析时以试验为主,缺乏仿真分析的缺陷.以某双频GPS(GlobalPositioning System)接收机受连续波干扰为例,对带内和带外(包括镜频和互调)敏感度阈值进行求解.仿真结果表明该方法不仅有效、可行,而且减少了敏感度阈值求解所需的内存空间和仿真运行时间,适应于一般射频接收机的EMS分析,在工程技术领域切合实际.     

飞机作战生存力分析方法研究进展与挑战

军用飞机在执行作战任务过程中,常常会与武器系统遭遇,如何分析其生存能力从而进行改进设计一直是航空领域的研究难点。回顾了作战生存力研究的历史与现状,从敏感性计算和易损性计算两方面总结了生存力的定量分析方法,重点综述了基本信号探测敏感性模型、雷达对抗下的敏感性模型、红外对抗下的敏感性模型,以及部件间弹道遮挡关系确定、部件毁伤测度与判据、重叠及高维空间易损性计算、薄弱部位确定方法等方面取得的新进展。在此基础上,针对未来体系对抗与先进武器环境,提出了生存力研究需要关注和解决的问题,包括网络与信息战下的敏感性分析、敏感性对抗装置的效益代价与权衡设计、部件易损性毁伤机理与判据、先进武器及多因素耦合下的易损性分析以及大数据背景下的性能降级易损性研究等。