Preservation properties of some reliability classes by lifetimes of coherent and mixed systems and their signatures

IF 0.7 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL Probability in the Engineering and Informational Sciences Pub Date : 2022-09-23 DOI:10.1017/s0269964822000316
S. Izadkhah, Ebrahim Amini-Seresht, N. Balakrishnan
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引用次数: 1

Abstract

This paper examines the preservation of several aging classes of lifetime distributions in the formation of coherent and mixed systems with independent and identically distributed (i.i.d.) or identically distributed (i.d.) component lifetimes. The increasing mean inactivity time class and the decreasing mean time to failure class are developed for the lifetime of systems with possibly dependent and i.d. component lifetimes. The increasing likelihood ratio property is also discussed for the lifetime of a coherent system with i.i.d. component lifetimes. We present sufficient conditions satisfied by the signature of a coherent system with i.i.d. components with exponential distribution, under which the decreasing mean remaining lifetime, the increasing mean inactivity time, and the decreasing mean time to failure are all satisfied by the lifetime of the system. Illustrative examples are presented to support the established results.
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相干和混合系统若干可靠性类的寿命保存性及其特征
本文研究了具有独立和同分布(i.i.d)或同分布(i.d)组件寿命的相干和混合系统形成中寿命分布的几种老化类别的保存。对于具有可能依赖和相同部件寿命的系统,给出了平均不活动时间类增加和平均失效时间类减少的公式。本文还讨论了具有1个分量寿命的相干系统寿命的似然比增加特性。给出了具有指数分布的i.i.d分量的相干系统的签名所满足的充分条件,在此条件下,系统的寿命满足平均剩余寿命减小、平均不活动时间增大和平均失效时间减小。给出了实例来支持所建立的结果。
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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
45
审稿时长
>12 weeks
期刊介绍: The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.
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