系统生命周期保持同分布组件生命周期变换顺序关系的条件

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Tomasz Rychlik , Magdalena Szymkowiak
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引用次数: 0

摘要

我们描述了在半相干系统寿命的同分布组件寿命的边缘分布的凸变换、星形变换和超加性变换阶上与给定分布保持关系的条件。如果族的显著极值元素有左有界支持,则条件是充分必要的。特别地,我们指定了保持单调广义故障率及其反转版本的条件,广义单调故障率的平均,广义新优于和差于使用,以及降低对数-赔率性质。这些条件取决于系统的最小割集和部件寿命之间的依赖关系。备选条件是基于各自的最小路径集和生存联结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conditions for preserving transform order relations of identically distributed component lifetimes by system lifetimes
We describe conditions for preserving relations with given distributions in the transform orders: convex transform, star, and superadditive ones of the marginal distributions of identically distributed component lifetimes by semicoherent system lifetimes. If the distinguished extremal element of the family has a left bounded support, then the conditions are necessary and sufficient. In particular, we specify the conditions for preserving the monotone generalized failure rates and their reversed versions, generalized monotone failure rates on the average, generalized new better and worse than used, and decreasing log-odds rate properties. The conditions depend on the minimal cut sets of the system and the copula of dependence among the component lifetimes. An alternative conditions are based on the respective minimal path sets and survival copula.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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