Network reliability assessment in a random environment

In this paper we consider networks that consist of components operating under a randomly changing common environment. Our work is motivated by power system networks that are subject to fluctuating weather conditions over time that affect the performance of the network. We develop a general setup for any network that is subject to such environment and present results for network reliability assessment under two repair scenarios. We also present Bayesian analysis of network failure data and illustrate how reliability predictions can be obtained for the network. © 2003 Wiley Periodicals, Inc. Naval Research Logistics 50: 574–591, 2003     

The stochastic single resource service‐provision problem

The service‐provision problem described in this paper comes from an application of distributed processing in telecommunications networks. The objective is to maximize a service provider's profit from offering computational‐based services to customers. The service provider has limited capacity and must choose which of a set of software applications he would like to offer. This can be done dynamically, taking into consideration that demand for the different services is uncertain. The problem is examined in the framework of stochastic integer programming. Approximations and complexity are examined for the case when demand is described by a discrete probability distribution. For the deterministic counterpart, a fully polynomial approximation scheme is known 2 . We show that introduction of stochasticity makes the problem strongly NP‐hard, implying that the existence of such a scheme for the stochastic problem is highly unlikely. For the general case a heuristic with a worst‐case performance ratio that increases in the number of scenarios is presented. Restricting the class of problem instances in a way that many reasonable practical problem instances satisfy allows for the derivation of a heuristic with a constant worst‐case performance ratio. Worst‐case performance analysis of approximation algorithms is classical in the field of combinatorial optimization, but in stochastic programming the authors are not aware of any previous results in this direction. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2003     

被掩护地面固定目标不受空中打击分析

重点分析了被掩护地面固定目标不受空中打击的相关因素,并定量地分析了敌空袭兵器攻击地面被掩护目标时所需的数量,从而为地面防空建立最佳的防空部署提供依据。因为防空兵群对空袭兵器的射击次数与防空兵群的杀伤区面积成线性关系,所以在探讨如何部署防空兵力时,以防空兵群的杀伤区面积为准则来建立线性规划模型。     

坦克和自行火炮的简单定位定向方法

应自行武器间瞄射击的要求,提出了测定装甲机械化分队各车体方位的原则和简单方法,并对此测算方法进行了误差分析,然后以某分队为例,分别测算了指挥车和队属单车的车体方位和误差,结果表明该定位定向方法能够满足自行武器间瞄准射击的要求,可供装备自行武器的部队在射击训练时参考。     

红外导弹制导系统的半实物仿真系统设计

对导弹系统的核心部件——制导系统进行半实物仿真是导弹系统研制中最经济和有效的手段之一。论述了红外制导系统半实物仿真系统的功用,给出了其原理框图,对其中几个关键技术:运动学方程特性的仿真建模、目标背景与对抗特性的生成技术、计算机软件和接口技术、校准设备与故障检测等的实现进行了深入地分析,并介绍了其具体的设计方案。     

AHP及其在潜艇作战指挥上的应用

层次分析法(AHP)是一种简便的、实用的多准则决策分析方法.在对传统的AHP进行概述的基础上,针对其在实际应用中存在的问题,介绍了国内外几种经典的综合及改进的层次分析法,并建立了较为完备的潜艇作战指挥效能的评价体系和模糊综合评价模型,对潜艇的作战指挥效能进行了综合的定量分析和计算.最后展望了AHP在潜艇作战指挥上的应用前景,并对各种AHP进行了比较.     

美国陆军作战指挥系统

自海湾战争以来的局部战争,信息作战改变并主导了现代战场。描述了美陆军作战指挥系统及其支援系统、通信系统的组成、基本功能和发展前景。     

导弹制导控制与目标杀伤

采用协方差分析描述函数技术 (CADFT)对寻的导弹的制导精度进行了研究 ,提出了空气动力控制、直接侧向力控制的寻的导弹飞行末端的制导精度的一种新的解析模型 ,并研究了导弹直接碰撞杀伤目标的必要条件 ,该理论研究成果具有简单、实用、精度高的特点 ,为寻的导弹制导控制特性研究和揭示寻的理论普遍规律提供了一种新途径     

维修费用合理值计算的基本方法

阐述了武器装备维修费用合理值的计算与评估方法 ,包括平均维修费用、一次性维修费用、实际维修费用等方面     

随机载荷下疲劳寿命预估计算方法研究

分析了一种用于随机载荷下零构件疲劳寿命预估的有效计算方法 .引入材料所吸收的弹性应变能和塑性应变能等参量 ,在等能量损伤法则下推算出稳态条件下随机载荷的等价常幅应力 ,适用于结构设计阶段和改进阶段或应力响应时间历程无法实测的情况 .