On relevation transform involved with statistical dependence between two component lifetimes

IF 1.3 4区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Applied Stochastic Models in Business and Industry Pub Date : 2023-06-14 DOI:10.1002/asmb.2785
Rui Fang, Chen Li, Xiaohu Li
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Abstract

Krakowski (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.

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涉及两组分寿命统计相关性的关联变换
克拉科夫斯基(自动通知技术操作牧师)(1973; 7:107-120)提出了具有独立生命周期的组件和主动冗余的关联变换,除了Johnson和Kotz (Am J Math management Sci. 1981; 1:155-165;Nav Res ologist . 1983; 30:163-169 .)之后的大多数研究都是在这个框架下进行的。然而,组件及其主动冗余由于环境而承受一些共同的压力,因此它们具有依赖的生命周期,这并不罕见。在本文中,我们为所涉及的寿命配备了一个生存联结,然后通过随机比较来澄清新版本和经典版本之间的潜在差异。此外,通过对具有关联冗余的系统进行寿命排序,研究了在组件级分配关联冗余的方法,最终提高了系统的可靠性。目前关于串联和并联系统的结果是对Belzunce等人的相应结果的概括(apple Stoch Models Bus Ind. 2019; 35:492-503)。并给出了几个数值例子来说明这些发现。
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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
67
审稿时长
>12 weeks
期刊介绍: ASMBI - Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. In 2007 ASMBI became the official journal of the International Society for Business and Industrial Statistics (www.isbis.org). The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. Mathematical rigour, innovative stochastic modelling and sound applications are the key ingredients of papers to be published, after a very selective review process. The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). The journal is interested also in papers addressing the effects of business and industrial decisions on the environment, healthcare, social life. State-of-the art computational methods are very welcome as well, when combined with sound applications and innovative models.
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