故障传播有向图在地面电源故障诊断的应用

基于图论的故障诊断方法能够有效地缩小故障源的搜索范围,在最短的时间内找到真正产生故障的部件。采用故障传播有向图的方法对某飞行器地面电源故障诊断算法进行了研究,针对该飞行器地面电源的物理结构及相关的电气特性得到其故障传播有向图,并经过一些运算后将有向图进行了分层重构,最后利用故障定位算法模拟了故障定位的过程,得到了很好的效果。     

基于分簇理论的信息流优化算法研究

将导弹防御指控网络看作变拓扑结构网络,引入小世界网络中"簇"的概念,以最短作战响应时间为优化指标,提出了一种基于平均连接度自适应分簇算法的信息流优化算法。仿真结果表明,该算法在保证信息优裕度的前提下,提高了信息可达度和信息交互质量,提高了指控网络遭受打击时的重构能力。     

压力喷嘴常温下雾化特性实验研究

为了满足工程中对喷嘴雾化特性测量的高精度、低成本要求,建立了喷嘴雾化特性实验系统,以自来水为雾化工质,对蒸发冷却压力喷嘴在常温、常压下的雾化特性进行了实验研究。用容积法测量了喷嘴的流量,用最小二乘法对测量数据进行回归分析,得到了喷嘴流量、雾化压力和喷孔直径之间的关联式与流量系数;用机器视觉方法测量了喷嘴的雾化锥角与雾滴尺寸,得到了雾化锥角与雾滴尺寸随雾化压力变化的规律。结果表明:随着雾化压力的增大,喷嘴雾化锥角不断增加,雾滴尺寸不断减小;随轴向距离的增大,D0.632、D0.5、D32有不同幅度的增大,而D0.9则基本不变。     

基于滤波与BP神经网络的水下探测信号检测算法

针对水下探测系统探测船舶磁场信号时信噪比较低的问题,首先根据磁异常信号的频域特征,设计了约束最小二乘FIR滤波器,通过对含噪信号进行带通滤波,滤除高频噪声;再采用BP神经网络对低频分量进行学习,提取船舶目标特征信号。将该算法应用于船模实测实验,结果表明:该算法可以显著提高信噪比,增强对船舶磁场信号的检测能力。     

基于信息熵的多属性群决策通指装备效能评估算法

基于通指装备效能评价指标的多样性和描述语言的模糊性,首先将对通指装备评价属性的定量、定性描述指标统一转化为三角模糊数,实现定量指标与定性指标的规范化处理,在此基础上提出一种基于信息熵排序的模糊多属性群决策算法,实现对通指装备的综合评价．最后,通过通指装备效能评估实例分析并证明了算法的可行性和有效性．     

基于STK的动能反卫作战信息流程构建

介绍了动能反卫星武器的信息系统构成及功能,对动能反卫作战过程进行了描述,提出了动能反卫作战中的信息需求,构建了动能反卫作战行动的信息流程。详细介绍了动能反卫星作战流程,并对作战信息需求进行分析。最后,利用卫星工具包(STK)实现一次对地基动能反卫星作战过程的仿真。     

Production and transport logistics scheduling with two transport mode choices

This paper considers a new class of scheduling problems arising in logistics systems in which two different transportation modes are available at the stage of product delivery. The mode with the shorter transportation time charges a higher cost. Each job ordered by the customer is first processed in the manufacturing facility and then transported to the customer. There is a due date for each job to arrive to the customer. Our approach integrates the machine scheduling problem in the manufacturing stage with the transportation mode selection problem in the delivery stage to achieve the global maximum benefit. In addition to studying the NP‐hard special case in which no tardy job is allowed, we consider in detail the problem when minimizing the sum of the total transportation cost and the total weighted tardiness cost is the objective. We provide a branch and bound algorithm with two different lower bounds. The effectiveness of the two lower bounds is discussed and compared. We also provide a mathematical model that is solvable by CPLEX. Computational results show that our branch and bound algorithm is more efficient than CPLEX. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005     

基于LDA算法的一维距离像特征提取

在线性分辨分析(LDA)基础上,通过遗传算法寻找Fisher准则下最优的线性映射中心和相应的最优映射,使不同模式在特征空间内具有最大的可分离性,并将该算法用于雷达目标一维距离像特征提取与识别中。实验表明,和原算法相比,新算法在特征提取性能和目标正确识别率上有较大提高,说明了算法的有效性。     

基于自适应遗传算法的目标优化分配方法

提出了基于自适应遗传算法的目标优化分配模型,阐述了自适应遗传算法在目标优化分配中的应用,通过在计算机上仿真运行实例得出了目标优化分配方案。本方法对地面防空目标优化分配决策研究具有一定的参考价值。     

Flow‐shop batch scheduling with identical processing‐time jobs

In many practical situations of production scheduling, it is either necessary or recommended to group a large number of jobs into a relatively small number of batches. A decision needs to be made regarding both the batching (i.e., determining the number and the size of the batches) and the sequencing (of batches and of jobs within batches). A setup cost is incurred whenever a batch begins processing on a given machine. This paper focuses on batch scheduling of identical processing‐time jobs, and machine‐ and sequence‐independent setup times on an m‐machine flow‐shop. The objective is to find an allocation to batches and their schedule in order to minimize flow‐time. We introduce a surprising and nonintuitive solution for the problem. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004