Optimal Allocation of Randomly Selected Redundancies to k-Out-of-n System With Independent but Nonidentical Components

被引：9

作者：

Ling, Xiaoliang ^{[1
]}

Wei, Yinzhao ^{[2
]}

机构：

[1] Hebei Univ Sci & Technol, Coll Sci, Shijiazhuang 050018, Hebei, Peoples R China

[2] Xidian Univ, Sch Math & Stat, Xian 710071, Peoples R China

来源：

IEEE ACCESS | 2020年 / 8卷

基金：

中国国家自然科学基金;

关键词：

Reliability; redundancy allocation; heterogeneous population; majorization order; SERIES-PARALLEL SYSTEMS; ACTIVE REDUNDANCIES; RELIABILITY OPTIMIZATION; SPARES;

D O I：

10.1109/ACCESS.2020.2993198

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The quality of manufactured components in different batches may be different because of the influence of various stochastic factors. This paper studies the optimal allocation of redundancies drawn from these randomly selected batches to <inline-formula> system composed of independent but nonidentical components. When the total number of redundancies is fixed, we show how the theory of majorization can be used to solve the problem of optimal redundancy allocation problem in system. We give an investigation on how the batches heterogeneity affects the reliability of system.

引用

页码：88464 / 88473

页数：10

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