部件相依复杂系统可靠性模型及其寿命界限分析

文章应用Copula函数,研究了部件相依的复杂系统可靠性问题,给出了F-G-M Copula函数下一般系统的可靠度、平均寿命、平均寿命误差韵表达式,讨论了部件正象限相依下复杂系统的平均寿命与部件独立时系统的平均寿命的关系,并研究了串联与并联系统的界限,通过算例分析了部件相依下对平均寿命的影响程度。     

基于Copula函数相依串联系统的可靠性分析

论文将Copula函数引人元件相依系统可靠性的研究中,利用Copula函数韵特性将两元件系统拟合为单部件系统,并求出拟合后系统的寿命分布函数;然后分别讨论了拟合后系统作为马尔科夫型与非马尔科夫型两种情况时的可靠性指标;最屠给出一个实例,并比较了系统相依葑独立时可靠性指标的差异。论文去除了传统研究中部件独立的假设,说明部...     

电源模块并联馈电系统的可靠性分析

电源模块并联馈电是高可靠系统,设计或维修使用不当,不但不能发挥其高可靠性水平,而且还会进一步降低系统可靠性。在实际工作中作了初步总结,对进一步改进设计和维护工作提出了建议。     

两个不独立共载并联系统模型的可靠性分析

为了提高系统可靠性，可以把多个相同的部件并联起来共同降额使用，构成共载并联系统，这种办法极为有效而又简单易行。在对这种系统进行可靠性分析时，通常假设各个部件之间是独立的，但实际上，各个部件之间并不是独立的。根据这种情况建立了两个高可靠性不独立共载并联系统的模型，进行了可靠性分析，并在失效时间服从指数分布的假设下计算出了系统的可靠度。     

可维修系统的模糊可靠性,模糊维修性与模糊有效性

文中应用模糊数学与系统工程的理论与方法对可维修系统的经典有效性和不维修系统 模糊可靠性进行了概念扩充，提出了可维修系统的模糊有效的概念，给出了可维修系统 模糊可靠度、模糊维修度和模糊有效度的计算公式和计算示例，可望对Ｃ＾３Ｉ系统等既含随机性又含模糊性的可维修系统的可靠性分析提供一种新的思路和方法。     

影响疲劳强度可靠性的模糊因素分析

机械或结构的疲劳现象极为复杂，受许多因素的影响。重点分析了影响机械或结构疲劳强度可靠性的模糊因素：疲劳强度可靠性分析中的主观不确定性，载荷的模糊性，某些疲劳断裂参数的模糊性，失效准则中的模糊性。指出了建立模糊可靠性理论的必要性。     

并联电子系统级联失效可靠性分析与维护策略

与各部件失效相互独立的并联系统相比,级联失效这一因素显著降低了系统的可靠性。运用更新过程和马尔可夫理论。分析了存在级联失效关系的两同型部件并联系统的可靠性。为了有效地应对级联失效对并联电子设备系统的影响,引入了预防维护策略,并且建立了期望费用率模型．得到了使期望费用率最小的维护策略,最后给出了算例。     

基于平均寿命为模糊数的模糊可靠性计算

定义产品平均寿命为一个模糊数表示，用模糊数估计系统可靠度、系统寿命、系统失效率。给出了单个部件、串联系统和并联系统的一些结果。对于比较难用解析法解决的问题，借助于计算机采用区间法可容易解决，并给出了应用实例。     

基于可能性测度的模糊可靠性浅析

介绍了一种基于可能性测度的模糊可靠性概念,简要介绍了可能性测度与概率测度的联系与区别,并给出了具体模糊可靠性数学模型,应用该模型对某型自行高炮电气分系统模糊可靠性进行了分析。     

带等待时间约束并行机调度问题的Copula分布估计算法

本文针对一类带等待时间约束的不相关并行机调度问题,提出了一种基于Copula函数的分布估计算法.该算法以同类订单工件数与总工件数的比值为变量,对每台机器构造了一个Copula函数,进而建立了优势种群的概率模型.基于概率模型通过采样生成子代个体编码向量组,保留了父代种群的相对位置信息.从理论上分析了所提出算法的时间复杂度,其随工件个数的增加呈对数增长.通过基于实例的数值仿真以及与已有算法的比较验证了所提算法的有效性和鲁棒性.     

A Reliability Model for Dependent Failures in Parallel Redundant Systems

The concept of Equivalent time is introduced to find the hazard rates of elements in a parallel redundant systems which is subject to dependent failures. True acceleration is defined as an adjunct to this concept.     

A Generalized Reliability Function for Systems of Parallel Components

In systems of parallel components, the system reliability function Rp(t) is usually defined as the probability that not all the parallel components fail in a time interval t, given that all the components are operating at the beginning of the interval. This definition implies that if there is one component which operates throughout the whole interval in question, then the system reliability is perfect. Consider the system S which always requires M > 1 components to do its job. It is obvious that the system is not reliable if there are only k, 1 ? k < M, components working in the time interval t. The conventional reliability function Rp(t) is then insufficient for studying the reliability of the system S. A generalized reliability function Rr,n(t) is presented in this paper, and it is shown that the conventional reliability function Rp(t) is a special case of the generalized reliability function Rr,n(t). The practical application of this generalized reliability function is also discussed.     

Sequential Testing of Components for System Reliability

It is often desirable to construct s-confidence limits for system reliability on the basis of data obtained from `pass-fail' tests on the components of the system. This paper presents a general method for sequentially testing the components that provides data from which these s-confidence limits can be easily derived. The method is applicable to any s-coherent system for which the reliability function is known. It is a generalization of a scheme given by Winterbottom and Verrall for systems composed of units arranged either in series or parallel.     

The Robustness of Reliability Predictions For Parallel Systems of Identical Components

The robustness of reliability predictions based on the exponential failure law is investigated under possible deviations within the Weibull family of failure distributions. Regions of robustness are provided for parallel systems of N identical components, N = 1(1)15; i.e., regions in the space of the Weibull shape parameter, within which one may safely use the exponential prediction procedure and have no more than a prespecified error.     

Reliability of a Repairable Multicomponent System with Redundancy in Parallel

Consider a multicomponent system consisting of two series subsystems. One contains identical components connected in parallel, while the other has nonalike components connected in series. Each component has constant hazard rate, while the subsequent repairs follow some general distributions. The supplementary variable technique developed by Kielson and Kooharian [1] and the phase technique are used to obtain the various time-dependent and steady-state solutions for the system. A numerical illustration compares the effect of two repair policies on the behavior of the system. The optimum number of components connected in parallel is obtained.     

半导体器件并联系统可靠性评估的经验Bayes方法

为了提高机载开关电源中半导体器件并联系统可靠性评估的准确性,运用经验 Bayes 法和经典的统计方法,研究了该系统的可靠性评估问题。分别给出了系统可靠性指标的经验 Bayes 估计,极大似然估计。利用 Monte-Carlo方法,对两种估计结果进行了比较,结果表明,经验 Bayes 估计的最大绝对误差为 0.07,它小于极大似然估计的最大绝对误差 0.368。