A stochastic model for burn‐in procedures in accelerated environment

Burn‐in procedure is a manufacturing technique that is intended to eliminate early failures of system or product. Burning‐in a component or system means to subject it to a period of use prior to being used in field. Generally, burn‐in is considered expensive and so the length of burn‐in is typically limited. Thus, burn‐in is most often accomplished in an accelerated environment in order to shorten the burn‐in process. A new failure rate model for an accelerated burn‐in procedure, which incorporates the accelerated ageing process induced by the accelerated environmental stress, is proposed. Under a more general assumption on the shape of failure rate function of products, which includes the traditional bathtub‐shaped failure rate function as a special case, upper bounds for optimal burn‐in time will be derived. A numerical example will also be given for illustration. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

A DYNAMIC PANEL DATA MODEL FOR ANALYZING THE RELATIONSHIP BETWEEN MILITARY EXPENDITURE AND GOVERNMENT DEBT IN THE EU

This paper examines the impact of military spending on general government debt in the enlarged European Union (EU) countries. For this purpose, we use panel data analysis and provide estimates from a dynamic Generalized Method of Moments (GMM) panel model. The dynamics are found to be important and the results suggest that military expenditures do have a large positive impact on the share of general government debt in the EU.     

位置随动系统动态性能自动检测研究

通过分析某型位置随动系统的组成和动态技术指标,提出了位置随动系统动态性能自动检测的设计方案和测试方法,利用信号仿真模块和基于DSP的高速数据采集与处理模块,建立了自动检测的硬件电路和软件结构,确定了测试位置随动系统的动态性能指标、测试方法和软件功能,实现了对某型位置随动系统动态性能的自动检测．     

基于小样本数据的作战计划生成方法

针对部队实兵对抗实验数据生成和采集的投入高、难度大的实际,提出基于小样本数据生成作战计划的方法：首先,采用偏最小二乘回归分析法建立作战因素与作战结果间的多元非线性模型;其次,采用改进的遗传算法,在MATLAB平台编程实现了对模型的整数规划求解,并通过实例验证算法的有效性;最后,利用作战因素的重要性排序分析作战计划的调整流程。     

航空导航技术的发展方向

针对航空导航的特点,对现有航空导航装备的特点进行了分析,并结合未来作战的需求,给出了航空导航技术的发展方向,主要是组合式导航体制,将卫星导航与惯导的组合进一步与地形辅助导航、地球物理导航、地磁导航等方式结合起来.     

Nonparametric bayesian lifetime data analysis using dirichlet process lognormal mixture model

We propose a nonparametric Bayesian lifetime data analysis method using the Dirichlet process mixture model with a lognormal kernel. A simulation‐based algorithm that implements the Gibbs sampling is developed to fit the Dirichlet process lognormal mixture (DPLNM) model using rightly censored failure time data. Five examples are used to illustrate the proposed method, and the DPLNM model is compared to the Dirichlet process Weibull mixture (DPWM) model. Results indicate that the DPLNM model is capable of estimating different lifetime distributions. The DPLNM model outperforms the DPWM model in all the examples, and the DPLNM model shows promising potential to be applied to analyze failure time data when an appropriate parametric model for the data cannot be specified. © 2013 Wiley Periodicals, Inc. Naval Research Logistics, 2013     

基于WSN的目标探测与分类算法

针对WSN监测系统的目标检测与分类问题,提出一种基于直觉模糊推理(IFR)的多源数据融合方法。由模糊推理的思想,设计各状态变量的属性函数。根据目标声强变化和引起的地磁场变化的模型,设计模糊推理规则,并检验了所建规则的合理性。理论分析与仿真结果的对比表明算法能准确地对目标进行分类,且运算量小,适用于计算能力较弱的WSN节点。     

舰载主被动传感器数据关联算法

针对海战场密集目标情况下,传统方法在解决舰载主被动传感器数据关联问题中表现的不足,提出一种基于属性信息相似度检验的方法.通过分析雷达实体目标与辐射源在时间上可能出现的不同对应关系,给出相应的判决规则.仿真结果表明,新算法具有较高的关联精度和较低的漏关联概率.     

一种基于零控脱靶量的滑模末制导律设计

基于零控脱靶量的思想,提出一种能够有效针对大气层再入目标的滑模末制导律.首先,建立纵向平面内的弹目相对运动方程;然后利用扩张状态观测器对目标机动加速度信息进行估计,并对零控脱靶量算法进行分析,提出了制导律的设计思路;接着利用滑模变结构控制理论进行制导律的推导;最后进行仿真分析,仿真结果证明,所设计的制导律能够很好地对目标弹进行拦截,并且指令的跟踪效果也很好,从而验证了算法的有效性.     

结合实时数据产品与北斗短报文的厘米级海洋精密相对定位

针对远海精密定位的广泛需求和传统精密定位服务费用昂贵的问题,提出利用北斗短报文设备传输导航观测数据,结合实时服务数据产品,以实现海洋的低成本厘米级精密相对定位。为了克服短报文传输频率低的缺点,采用融合空间相对定位和精密单点定位两种技术来加密分钟间隔以外的坐标,避免了传统时间基线法加密坐标存在的误差累积现象。分别基于静态和动态海洋观测数据进行仿真实验,结果表明,新方法无论在水平方向还是垂直方向上,都可以实现厘米级定位,且对时间间隔不敏感。