基于LabVIEW的推进系统热管理试验台架测控系统设计

设计了能够模拟多个热源变工况的推进系统热管理试验台架测控系统。确定了测控系统方案,进行了硬件设计;选用Lab VIEW作为试验台架测控系统开发平台,通过调用动态链接库对数据采集、控制输出、数据显示、数据保存和超限报警等功能模块进行了分析与编程,完成了软件的设计开发。最后对测控系统进行了试验验证,结果表明:测控系统误差在允许范围内,能够满足热管理试验台架的功能需求。     

基于云重心评判的装甲车辆驾驶技能评估方法

针对当前装甲车辆驾驶技能评估方法存在的问题和应用上的不足,将云理论引入装甲车辆驾驶技能评估,提出了基于云重心评判的装甲车辆驾驶技能评估方法。首先建立了云模型表示的指标体系,通过采集实车驾驶数据获取指标值;然后确定指标权重,计算其加权偏离度并将其输入评测的云发生器,最终得到评估结果。结果表明:基于云重心评判的装甲车辆驾驶技能评估方法能实现对装甲车辆驾驶过程的准确评估,为解决装甲车辆驾驶评估依赖经验教学的问题提供了技术路径。     

多站空情航迹优化及分类指挥决策方式研究

空情是防空指挥的依据,本文提出了集团军防空兵利用本级多站空情,优化二次空情航迹的Fourier分析法,通过处理S项后的高频项,分离干扰等“噪声”过程,为反空袭指挥决策提供合理空情。当大批空中目标来袭时,依据处理的多批多站空情,集团军防空兵如何实现新的分类指挥,在文[1]基础上,本文引入等混合聚类法这一新的批次分类模式,对批次多因素分类,此法控制参量多、收敛速度快,使分类指挥决策的时效性得到提高,并结合示例计算与对比。     

某弹药通用规范军用标准编写的研究

本文重点针对某弹药通用规范国家军用标准（以下简称标准）的论证和编制问题做了一些探讨。     

新时期加强民用车辆征用工作的几点思考

本文通过对民用车辆征用工作现状和存在问题的分析,从如何明确民用车辆征用需求、掌握民用车辆资源潜力、确定民用车辆征用标准、加强征用演练以及做好征用预案编制工作等方面提出了一些对策建议。     

基于虚拟仪器的航空电子设备检测系统设计

设计了一种基于虚拟仪器技术的航空电子设备自动化检测系统。详细介绍了系统软硬件的结构和功能。说明了通过程序、配置文件管理系统硬件,实现软件的仪器无关性的方法。并讨论了用数据库和文本文件定义被测设备的数学模型,从而实现检测系统与被测设备分离的方法。由于从检测系统和被测设备两方面实现了检测的通用性,对检测系统的升级换代和扩展检测新型机载设备具有重要意义。     

基于模糊AHP法的机载指控系统效能评估

指控系统是机载C3I系统的核心组成部份。为了合理而有效地评估机载指控系统效能,运用模糊AHP分析法对该分析法中的权值的模糊性进行了处理,建立了机载指控系统效能评估模型,并通过具体算例证明了此方法的有效性和可行性,为机载指控系统的效能评估提供了一种方法和途径。     

Exact algorithms for scheduling multiple families of jobs on parallel machines

In many practical manufacturing environments, jobs to be processed can be divided into different families such that a setup is required whenever there is a switch from processing a job of one family to another job of a different family. The time for setup could be sequence independent or sequence dependent. We consider two particular scheduling problems relevant to such situations. In both problems, we are given a set of jobs to be processed on a set of identical parallel machines. The objective of the first problem is to minimize total weighted completion time of jobs, and that of the second problem is to minimize weighted number of tardy jobs. We propose column generation based branch and bound exact solution algorithms for the problems. Computational experiments show that the algorithms are capable of solving both problems of medium size to optimality within reasonable computational time. © 2003 Wiley Periodicals, Inc. Naval Research Logistics 50: 823–840, 2003.     

Nonrobustness of the normal approximation of lead‐time demand in a (Q,R) system

For computing an optimal (Q, R) or kindred inventory policy, the current literature provides mixed signals on whether or when it is safe to approximate a nonnormal lead‐time‐demand (“LTD”) distribution by a normal distribution. The first part of this paper examines this literature critically to justify why the issue warrants further investigations, while the second part presents reliable evidence showing that the system‐cost penalty for using the normal approximation can be quite serious even when the LTD‐distribution's coefficient of variation is quite low—contrary to the prevalent view of the literature. We also identify situations that will most likely lead to large system‐cost penalty. Our results indicate that, given today's technology, it is worthwhile to estimate an LTD‐distribution's shape more accurately and to compute optimal inventory policies using statistical distributions that more accurately reflect the LTD‐distributions' actual shapes. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2003     

Determination of burn‐in parameters and residual life for highly reliable products

Today, many products are designed and manufactured to function for a long period of time before they fail. Determining product reliability is a great challenge to manufacturers of highly reliable products with only a relatively short period of time available for internal life testing. In particular, it may be difficult to determine optimal burn‐in parameters and characterize the residual life distribution. A promising alternative is to use data on a quality characteristic (QC) whose degradation over time can be related to product failure. Typically, product failure corresponds to the first passage time of the degradation path beyond a critical value. If degradation paths can be modeled properly, one can predict failure time and determine the life distribution without actually observing failures. In this paper, we first use a Wiener process to describe the continuous degradation path of the quality characteristic of the product. A Wiener process allows nonconstant variance and nonzero correlation among data collected at different time points. We propose a decision rule for classifying a unit as normal or weak, and give an economic model for determining the optimal termination time and other parameters of a burn‐in test. Next, we propose a method for assessing the product's lifetime distribution of the passed units. The proposed methodologies are all based only on the product's initial observed degradation data. Finally, an example of an electronic product, namely contact image scanner (CIS), is used to illustrate the proposed procedure. © 2002 Wiley Periodicals, Inc. Naval Research Logistics, 2003