一类有增益网络的最大流模型

一般带容量限制的网络图中流出源点与流入汇点的流量相等,但在实际应用中,存在一类流量经过弧发生变化的网络,使得流出源点与流入汇点的流量不相等。针对此类问题,建立了增益网络最大流模型,并通过增设虚弧将增益网络转换成循环网络,利用循环网络中汇点流量瞬间平衡的优点简化了模型。最后,结合实例进行分析,编写程序对实例进行了计算,计算结果验证了该模型的有效性。     

运行和修复同时进行的固有可用度定时截尾试验方案

针对如何设计一个试验以完成检验系统固有可用度、平均故障间隔时间和平均修复时间等3个指标参数的问题,将试验分为同时进行的可靠性和维修性定时截尾试验2个项目,假设运行时间和修复时间均服从指数分布,且可靠性和维修性试验方案已知,提出了一种固有可用度定时截尾试验方案．该试验方案通过合理选择累积运行时间和累积修复时间,同时满足检验3个指标参数的承制方和使用方风险,可完成对3个指标参数的检验．     

高频电磁注入替代辐照耦合装置的设计研究

为提高电磁注入法的应用频带范围,提出基于定向耦合原理的电磁注入方法,并以某天线及其射频前端构成的互连系统为试验对象,利用单定向耦合器作为注入装置进行了辐照和注入试验,试验证明该注入方法能够准确替代连续波辐照效应试验．进而,理论分析耦合装置的特性并对该装置进行改进,提高其工程实用性．最后,设计耦合装置的指标并计算了对应的散射矩阵,制作完成注入装置的样机．结果表明：耦合装置监测端电压与等效源之间的关系会受到受试设备状态的影响．将两单定向耦合器级联作为注入装置,并以监测端的功率作为等效依据,可保证监测结果在高频时不受线缆上驻波的影响,提高试验的准确性．     

Robust cubature Kalman filter method for the nonlinear alignment of SINS

Nonlinear initial alignment is a significant research topic for strapdown inertial navigation system(SINS).Cubature Kalman filter(CKF)is a popular tool for nonlinear initial alignment.Standard CKF assumes that the statics of the observation noise are pre-given before the filtering process.Therefore,any unpredicted outliers in observation noise will decrease the stability of the filter.In view of this problem,improved CKF method with robustness is proposed.Multiple fading factors are introduced to rescale the obser-vation noise covariance.Then the update stage of the filter can be autonomously tuned,and if there are outliers exist in the observations,the update should be less weighted.Under the Gaussian assumption of KF,the Mahalanobis distance of the innovation vector is supposed to be Chi-square distributed.Therefore a judging index based on Chi-square test is designed to detect the noise outliers,determining whether the fading tune are required.The proposed method is applied in the nonlinear alignment of SINS,and vehicle experiment proves the effective of the proposed method.     

利用全球探空站背景场资料分析不同掩星数据偏差特性

为验证不同掩星数据反演湿温廓线的精度,需量化分析其误差特性。采用分段线性插值法,以时间窗1 h、水平距离100 km为匹配准则,对0.2~30 km各插值高度层温度的平均偏差和标准差进行统计分析,旨在探究不同掩星数据偏差特性。通过采用2018—2019年期间的全球探空站背景场资料完整数据,评估中国区域不同掩星数据偏差。结果表明:与全球探空站背景场资料相比,各类掩星数据绝对负偏差小于0.4 K,整体均值偏差在-0.5～0.5 K间变化,故二者探测精度相当。通过显著性检验分析发现,折射率相对偏差很小,结合统计量F=0.985 7>0.05可知,不同掩星计划探测精度无显著性差异。     

美军飞机易损性实弹测试现状及启示

飞机易损性分析与评估是指对飞机在战斗状态下遭受攻击后受损的难易程度的评价,是衡量飞机战斗性能的重要指标.研究飞机易损性对于飞机高生存力设计和飞机战伤预测评估具有重要意义.本文首先简要介绍了飞机易损性分析的一般方法与流程,收集并整理了美军飞机易损性实弹测试的历史沿革和条件建设现状,同时以F-35整机、F135发动机和C2...     

陆军导弹武器系统测试性研究

针对陆军导弹武器系统的特点,论述了系统测试性和系统测试性设计的基本概念,在解释它们内涵的同时,说明了如何从本质上理解它们在导弹武器系统全寿命周期中的重要作用。为了保持系统的良好测试性,从定量和定性两个方面提出了测试性设计的基本要求,研究了提高系统测试性的主要方法。     

超视距反舰导弹射击方式优化选择

射击方式的选择是反舰导弹作战使用的重要内容。在超视距作战需求的牵引下,传统视距反舰导弹的射击方式受到了巨大挑战。为优化选择超视距反舰导弹的射击方式,建立了两种常用射击方式的导弹捕捉概率模型和目标机动模型,给出一种典型条件不同目标机动航向的导弹捕捉概率,结果表明采用有前置量方式射击无法有效提高超视距导弹的捕捉概率,甚至在某些典型条件下还低于无前置量方式射击的捕捉概率,指出无前置方式是超视距反舰导弹射击的优选方式。     

Estimating distribution functions from partially observed samples

Suppose that some components are initially operated in a certain condition and then switched to operating in a different condition. Working hours of the components in condition 1 and condition 2 are respectively observed. Of interest is the lifetime distribution F of the component in the second condition only, i.e., the distribution without the prior exposure to the first condition. In this paper, we propose a method to transform the lifetime obtained in condition 1 to an equivalent lifetime in condition 2 and then use the transformed data to estimate F. Both parametric and nonparametric approaches each with complete and censored data are discussed. Numerical studies are presented to investigate the performance of the method. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 521–530, 2000     

A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise,minimum mean square variance criterion and least mean square adaptive filter

Underwater acoustic signal processing is one of the research hotspots in underwater acoustics. Noise reduction of underwater acoustic signals is the key to underwater acoustic signal processing. Owing to the complexity of marine environment and the particularity of underwater acoustic channel, noise reduction of underwater acoustic signals has always been a difficult challenge in the field of underwater acoustic signal processing. In order to solve the dilemma, we proposed a novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), minimum mean square variance criterion (MMSVC) and least mean square adaptive filter (LMSAF). This noise reduction technique, named CEEMDAN-MMSVC-LMSAF, has three main advantages: (i) as an improved algorithm of empirical mode decomposition (EMD) and ensemble EMD (EEMD), CEEMDAN can better suppress mode mixing, and can avoid selecting the number of decomposition in variational mode decomposition (VMD); (ii) MMSVC can identify noisy intrinsic mode function (IMF), and can avoid selecting thresholds of different permutation entropies; (iii) for noise reduction of noisy IMFs, LMSAF overcomes the selection of decomposition number and basis function for wavelet noise reduction. Firstly, CEEMDAN decomposes the original signal into IMFs, which can be divided into noisy IMFs and real IMFs. Then, MMSVC and LMSAF are used to detect identify noisy IMFs and remove noise components from noisy IMFs. Finally, both denoised noisy IMFs and real IMFs are reconstructed and the final denoised signal is obtained. Compared with other noise reduction techniques, the validity of CEEMDAN-MMSVC-LMSAF can be proved by the analysis of simulation signals and real underwater acoustic signals, which has the better noise reduction effect and has practical application value. CEEMDAN-MMSVC-LMSAF also provides a reliable basis for the detection, feature extraction, classification and recognition of underwater acoustic signals.