基于增强型MAD单特征量地磁匹配导航算法

为了提高基于MAD(mean absolute differences,平均绝对差)算法的单特征量地磁匹配导航系统的定位精度,研究分析了影响MAD算法的地磁匹配定位精度的主要因素,引入RANSAC(random sample consensus,随机抽样一致)鲁棒算法与粗精匹配结合的分层搜索策略来提高匹配精度及缩短匹配时间.仿真试验结果表明,该算法能够在一定程度上提高单特征量的地磁匹配的精度与稳定性,并大大缩短匹配时间.     

计算机网络级联失效建模与分析

针对以往级联失效模型负载局部重分配规则与现实计算机网络全局路由特点不吻合的缺陷,模拟网络中信息流传输过程。定义路由器的失效条件,建立基于负载全局重分配的级联失效模型,并在此基础上提出基于连通和性能两方面的级联失效影响评价参数,进而分析用户流量和攻击方式对计算机网络级联失效的影响。结果表明,随着流量的增大,级联失效存在相变行为,相变点刻画了网络在不会发生级联失效前提下的最大传输能力。此外,针对网络中高度节点的攻击,更为容易引发大规模的级联失效,应予以重点保护。     

屏蔽数据在新型截尾样本下系统的可靠性分析

当系统含有屏蔽数据时,在具有随机移走逐步增加型截尾模型下,讨论了部件寿命服从双参数指数分布的串联系统可靠性估计问题。设随机移走系统数服从二项分布,利用极大似然方法,Bayes理论及方法,推导出双参数指数部件参数、系统可靠性函数、失效率函数及移走概率的极大似然估计和Bayes估计。并利用Monte Carlo方法对两种估计结果进行了比较,表明Bayes估计较极大似然估计效果更优。     

大功率IGBT器件及其组合多时间尺度动力学表征研究综述

在提出电力电子器件及其组合多时间尺度动力学表征需求的前提下,以目前常用的全控型电力电子器件——绝缘栅双极晶体管(Insulated Gate Bipolar Transistor,IGBT)为例,系统分析并归纳了目前在IGBT及其组合多时间尺度动力学表征研究方面的进展和成果,包括作为基础的大功率IGBT及其组合多时间尺度电热瞬态建模方法、基于模型的大功率IGBT模块失效量化表征方法以及用于辅助分析的IGBT组合多速率仿真方法。此外,介绍了基于IGBT多时间尺度模型的装置应用设计案例。从建模方法、可靠性评估、仿真手段以及应用设计四个方面系统全面地阐述了大功率IGBT及其组合多时间尺度的动力学表征方法,可为电力电子混杂系统的精确设计提供电力电子器件层面的理论和技术支撑。     

信息知识库中的数据可用性恢复策略

信息知识库在工业生产中能够提高生产效率、降低资源消耗,但数据失效频率高。针对多节点失效重构的纠删码策略较少,且未充分考虑失效数据重构时各参与节点间的链路关系,导致重构效率较低。针对信息知识库数据失效,提出一种新的重构策略。根据节点的数据处理能力,选取数据处理能力最高的新生节点为路由节点;依据路由节点与候选供应节点及剩余空闲节点的链路带宽,确定供应节点及新生节点,从而构建数据重构网络拓扑,提高失效数据重构效率。实验结果证实,与传统纠删码策略性能比较,该方法有较短的重构时间和较高的重构成功率。     

Fuzzy recognition of missile borne multi-line array infrared detection based on size calculating

In order to improve the infrared detection and discrimination ability of the smart munition to the dy-namic armor target under the complex background, the multi-line array infrared detection system is established based on the combination of the single unit infrared detector. The surface dimension features of ground armored targets are identified by size calculating solution algorithm. The signal response value and the value of size calculating are identified by the method of fuzzy recognition to make the fuzzy classification judgment for armored target. According to the characteristics of the target signal, a custom threshold de-noising function is proposed to solve the problem of signal preprocessing. The multi-line array infrared detection can complete the scanning detection in a large area in a short time with the characteristics of smart munition in the steady-state scanning stage. The method solves the disadvan-tages of wide scanning interval and low detection probability of single unit infrared detection. By reducing the scanning interval, the number of random rendezvous in the infrared feature area of the upper surface is increased, the accuracy of the size calculating is guaranteed. The experiments results show that in the fuzzy recognition method, the size calculating is introduced as the feature operator, which can improve the recognition ability of the ground armor target with different shape size.     

Multi-objective design optimization of composite submerged cylindrical pressure hull for minimum buoyancy and maximum buckling load capacity

This paper presents the design optimization of composite submersible cylindrical pressure hull subjected to 3 MPa hydrostatic pressure. The design optimization study is conducted for cross-ply layups [0s/90t/0u], [0s/90t/0u]s, [0s/90t]s and [90s/0t]s considering three uni-directional composites, i.e. Carbon/Epoxy, Glass/Epoxy, and Boron/Epoxy. The optimization study is performed by coupling a Multi-Objective Genetic Algorithm (MOGA) and Analytical Analysis. Minimizing the buoyancy factor and maximizing the buckling load factor are considered as the objectives of the optimization study. The objectives of the optimization are achieved under constraints on the Tsai-Wu, Tsai-Hill and Maximum Stress composite failure criteria and on buckling load factor. To verify the optimization approach, optimization of one particular layup configuration is also conducted in ANSYS with the same objectives and constraints.     

基于中位秩的动态可靠性增长模型

给出了一种动态可靠性增长模型。首先利用统计中的中位秩法结合试验数据确定各个增长阶段的失效率 ,这一技术可以很好地解决小子样问题 ,并且由于利用了动态建模的思想 ,因而可以客观地反映系统的实际状态。其次 ,该模型继承了传统Duane模型简单、直观、易于进行参数估计的优点 ,同时又很好地处理了传统Duane模型所不适用的分阶段、多场景试验的情形 ,因而有很广阔的工程应用前景。最后通过仿真实例验证了该模型的正确性     

铝合金表面涂覆隐身吸波涂层脱落原因分析

通过对某装备车体外脱落隐身吸波涂层样品的表面形貌、截面形貌、元素组成及含量分析,发现吸波涂层和Al2O3钝化层之间没有化学结合键,只存在物理吸附和机械结合,在外部环境的作用下,很容易引起隐身吸波涂层的脱落。     

Bivariate models from univariate life distributions: A characterization cum modeling approach

Bivariate life distribution models are of importance for studying interdependent components. We present a generic approach by introducing a new concept of characterized model in stead of a characterized distribution. It strikes a balance between characterization and modeling approaches to eliminate their individual limitations and incorporate their respective strengths. The proposed model, being a characterized one, admits many important properties irrespective of the choice of marginal distributions. The retention of univariate IFR, DFR, IFRA, DFRA, NBU, and NWU class properties in the bivariate setup has been ensured along with some results on series combinations and convolution. No other models, available in the literature, can ensure simultaneous retention of these fundamental and extremely important class properties. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004