电子设备散热器的数值模拟研究

用Icepak软件对电子设备散热器进行了数值模拟,数值模拟得到的结果显示电子设备的散热效果与热管的管径、数量以及发热功率方面存在着密切的关系,为电子设备散热器的进一步优化设计提供了参考依据。     

水面舰艇电子设备改进的相关技术初探

俄罗斯21世纪建造的水面舰艇的战斗效能在很多方面将取决于集成在统一信息空间内的电子设备的组成和性能。电子设备在水面舰艇的设计、建造和战术使用中具有十分重要的意义。没有电子设备的水面舰艇就如同一个人失去了耳朵和眼睛。本文通过对电子设备模型结构的深入分析,试图寻找一种基于舰艇基本数据传输网络的高效能的模型结构,从而大大地降低电子设备的使用成本,并且明显提高其可靠性、生命力和适修性。     

电子设备房自动灭火系统研究

针对计算机房及电子设备房的火灾进行了分析,就计算机房及电子设备房的环境条件进行对比,对目前较广泛采用的几种自动灭火系统装置及其灭火剂的性能、环保等几个方面,进行了阐述和比较,希望对消防部队的日常监督检查提供参考依据。     

地空导弹群火力优化分配模型

地空导弹群火力优化分配是对多批空中目标分别选择最有效的地空导弹火力单元进行拦截,形成最佳兵力、兵器使用方案,它是地空导弹武器指控系统的一项重要功能。从研究地空导弹群火力优化分配过程出发,建立了地空导弹拦截适宜性检查模型、射击优先度指标计算模型和火力分配方案优化模型,为仿真地空导弹群火力优化分配过程提供了模型依据。     

电子设备备件储备标准制定模型研究

电子设备的寿命一般服从指数分布。本文以指数分布的备件储备标准制定模型为研究对象,分析了模型中各参数变量的相互影响关系,总结了该模型的特点,并应用于备件的标准制定工作中,有助于实际工作的开展。     

基于Bayes理论的航空电子设备可靠性评估

针对航空电子设备无失效数据可靠性分析问题,提出了weibull分布下基于Bayes理论的无失效数据分析方法,基于分层Bayes思想建立了模型,推导出可靠性参数后验分布计算公式,结合实例,验证了方法的有效性,结果表明,此方法计算结果符合工程实际,在其他电子设备可靠性分析中,有一定的借鉴意义.     

基于状态的检查与修理综合决策模型

分析了单部件系统退化过程的特点,建立了基于状态的检查与修理决策模型。该模型根据系统的当前状态来决定检查与修理,通过分析计算系统在一个更新周期内平均检查次数、预防性维修及修复性故障的概率,建立维修费用与检查问隔及预防性维修阈值的关系,以平均维修费用最小为目标,优化检查间隔及预防性维修阈值。最后运用Matlab对模型进行数值计算,结果表明,模型能有效地降低维修费用。     

基于深浅知识的混合诊断模型

针对大型电子设备的诊断问题,提出一种基于深、浅知识的混合诊断模型,给出了诊断知识的组织模型,论述了混合诊断模型的建立,并给出了完整的推理控制算法。基于这种模型,研制了ＰＬＴＳ平台罗经自动测试系统．     

舰载电子设备布线设计方法及其工程应用

针对舰载电子设备布线所导致的电磁兼容问题,以及传统电子设备布线设计效率和布线施工效率低等问题,在介绍布线设计技术的基础上,提出了一种舰载电子设备布线设计的方法。在此基础上,给出了在没有进行三维布线设计的情况下,布线设计的替代方案——一种简化的布线设计方法。通过舰载电子设备布线设计,给出了解决电子设备电磁兼容问题的方法,提高了电子设备布线设计效率和布线施工效率。     

静电放电对电子装置的危害机理分析与模型研究

本文介绍了静电放电(ESD)对电子装置的危害,分析了半导体器件受ESD影响而失效的机理,及ESD对电子设备形成干扰的途径,介绍并分析了六种ESD模型,即人体模型(HBM)、带电装置模型(CDM)、场感应模型(FIM)、机器模型(MM)、增强型场模型(FEM)或金属体模型(BMM)、电容耦合模型(CCM)。     

基于风险评估的检测与修理决策模型

研究了基于故障风险的检测与维修策略,运用威布尔比例风险模型建立系统故障率与工作时间及所处状态的关系。分析了两类基于间接状态信息维修决策的风险,建立了系统检测及维修策略的决策树,通过比较检测与不检测情况下的期望费用确定最优的检测间隔。算例表明,所提出的方法能够有效控制系统运行风险,降低系统运行费用。     

Stepwise inspection in Bayesian multiattribute acceptance sampling

Bayesian models for multiattribute acceptance sampling have been developed under the assumption that sampling inspection is carried to completion. A Bayesian multiattribute model for stepwise sampling inspection is proposed, whereby sampling inspection is terminated as soon as the disposition of the inspection lot is determined. An iterative solution procedure is developed for obtaining optimal or near-optimal multiattribute acceptance sampling plans under stepwise sampling inspection. The effect of stepwise sampling inspection on the characteristics of an optimal sampling plan is investigated. It is shown that stepwise sampling inspection achieves a sampling plan with lower total expected cost than complete sampling inspection. In addition, it is shown that the sequence of attributes in a stepwise sampling inspection substantially affects the sampling plan and resultant expected cost. The proposed methodology is used to evaluate various heuristics which may be used to determine the sequence of attributes in a stepwise inspection procedure.     

An asymptotically optimal inspection policy

An inspection model in life testing situations is discussed. The system under study is assumed to consist on n independent components all of which fail independently in an exponential fashion. Failures can be discovered only through inspection. The experimenter is assumed to lack the knowledge of the parameter of the exponential distribution. A stochastic sequential inspection policy is suggested which uses the data collected through experimentation to estimate the unknown parameter. It is shown that this policy is asymptotically optimal. Some numerical demonstrations are included.     

考虑运行故障的工程安全设施使用检查可用度模型

使用检查是发现工程安全设施系统隐蔽功能故障的有效措施。在考虑检查期间可能发生运行故障的前提下,建立了基于使用检查策略的系统可用度模型。应用该模型对应急柴油发电机的使用检查过程进行可用度分析,确定了其最优检查问隔期和给定可用度条件下的检查间隔期区间;探讨了检查时间和维修时间对可用度的影响。研究表明,该模型对于工程安全设施系统的可用度分析是有效可行的,其结果能够为维修决策提供依据。     

随机-非概率模型下的船体结构屈服强度可靠性分析

针对在役舰船船体载荷、材料属性的随机特性和实船勘验得出的腐蚀损伤下船体抗力区间特性,提出一种基于随机概率理论和区间非概率理论的随机-非概率可靠性分析模型,分别从区间变量随机化和随机变量区间化两个角度给出该模型的可靠性指标求解方法。基于该模型对某舰船船体结构屈服强度进行可靠性分析,结果表明:该模型既体现了结构变量的客观不确定性又减弱了评估结果的盲目保守性,对于既含有随机变量又含有区间变量的在役舰船的可靠性评估具有很强的适用性。     

Optimal inspection under semi-markovian deterioration: Basic results

This article develops a model for determining the optimal inspection schedule for a system which deteriorates according to a semi-Markov process that progresses through three states: good, defective, and bad. A binary test is used, and false positives may occur. A true positive results in an action that reduces the likelihood of entering the bad state, but at most one such corrective action can occur during the lifetime of the system. Costs are associated with each inspection, each false positive, the corrective action, and the entrance into the bad state. Dynamic programming is used to compute the minimum expected cost, which is a function of the age of the system. The optimal inspection schedule is readily derived from this value function. Computational examples are provided. This model is appropriate for medical screening or for a mission where there is only one spare part.     

An analysis of the long range operating characteristics of the MIL-STD-105D sampling scheme and some suggested modifications

An integral part of the MIL–STD–105D scheme for sampling inspection by attributes is the transfer from normal inspection to reduced or tightened inspection when the historical record of inspected lots suggests unusually good or bad quality. The switching rules in MIL–STD–105D have been criticized, especially by Japanese manufacturers, as being too severe when what is defined as acceptable quality material is submitted. This paper examines the long range fraction of lots rejected for several MIL–STD–105D sampling plans by using the MIL–STD–105D switching rules, using a modification suggested by the Japanese Standards Association, and by using a second modification developed by the authors. The Japanese Standards Association switching rules are more complex than those in MIL–STD–105D. It is demonstrated that they lead to improved long–range properties for Normal–Tightened–Reduced schemes, but to poorer properties for Normal–Tightened schemes. A simplified set of switching rules is suggested, wherein the “limit numbers” in MIL–STD–105D are eliminated. In comparison to MIL–STD–105D, the simpler rules lead to a lower probability of rejection for good lots and a comparable probability of rejection for bad lots.     

MARKOVIAN DETERIORATION WITH UNCERTAIN INFORMATION — A MORE GENERAL MODEL

A model of a deteriorating system with imperfect information is considered. The structures appropriate for such a model include failing machinery and depleted inventory systems. In an effort to add a new dimension to such models, it is assumed that the operator must pay an inspection cost to determine the precise state of the system. At the start of every time period, the operator is faced with three choices: repair, no action, or inspection. Under fairly general assumptions, the optimal policy for repair is found to be straightforward and intuitive. This result has two important areas of application.     

MAD: Mathematical analysis of downtime

The MAD model presents a mathematic treatment of the relationship between aircraft reliability and maintainability, system manning and inspection policies, scheduling and sortie length, and aircraft downtime. Log normal distributions are postulated for subsystem repair times and simultaneous repair of malfunctions is assumed. The aircraft downtime for maintenance is computed with the distribution of the largest of k log normal distributions. Waiting time for maintenance men is calculated either by using a multiple-channel queuing model or by generating the distribution of the number of maintenance men required and comparing this to the number of men available to determine the probability of waiting at each inspection.