On relevation transform involved with statistical dependence between two component lifetimes

Author:

Fang Rui1ORCID,Li Chen2ORCID,Li Xiaohu3

Affiliation:

1. Department of Mathematics Shantou University Shantou Guangdong China

2. School of Sciences Tianjin University of Commerce Tianjin China

3. Department of Mathematical Sciences Stevens Institute of Technology Hoboken New Jersey USA

Abstract

AbstractKrakowski (Rev Fr Autom Inform Rech Opèr. 1973;7:107–120.) introduced the relevation transform for component and active redundancy with independent lifetimes, and except for Johnson and Kotz (Am J Math Manag Sci. 1981;1:155–165; Nav Res Logist. 1983;30:163–169.) most subsequent researches were conducted under this framework. However, it is not uncommon that a component and its active redundancy bear some common stresses due to the environment and thus they have dependent lifetimes. In this note, we equip the involved lifetimes with a survival copula and then clarify the potential difference between the new and classical versions through making stochastic comparison. Moreover, by ordering the lifetime of system with relevation redundancy we also study the way of allocating a relevation redundancy at component level to ultimately improve the system reliability. The present results on series and parallel systems serve as a generalization of the corresponding ones of Belzunce et al. (Appl Stoch Models Bus Ind. 2019;35:492–503.). Several numerical examples are presented to illustrate these findings as well.

Funder

Natural Science Foundation of Tianjin City

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modeling and Simulation

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal precedence tests under single and double-sampling framework;Journal of Computational and Applied Mathematics;2024-08

2. On optimal allocation of redundancies in random weighted k$$ k $$‐out‐of‐n$$ n $$ systems;Applied Stochastic Models in Business and Industry;2024-05-29

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