Ordered multi-state system signature and its dynamic version in evaluating used multi-state systems

IF 0.7 3区工程技术 Q4 ENGINEERING, INDUSTRIAL

Probability in the Engineering and Informational Sciences Pub Date : 2022-07-27 DOI:10.1017/s0269964822000237

He Yi, N. Balakrishnan, Xiang Li

引用次数: 1

Abstract

Signature theory plays an important part in the field of reliability. In this paper, the ordered multi-state system signature and its related properties are discussed based on a life-test of independent and non-identical coherent or mixed systems with independent and identical binary-state components. Dynamic properties of these systems are considered through a new notion called dynamic multi-state system signature, and then related comparisons are made based on system lifetimes and costs. Finally, the theoretical results established are illustrated with some specific examples to demonstrate the use of dynamic ordered multi-state system signature in evaluating used multi-state coherent or mixed systems.

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有序多状态系统签名及其在评价二手多状态系统中的动态版本

签名理论在可靠性研究中占有重要地位。本文基于具有独立和相同二态分量的独立和不相同相干或混合系统的寿命试验，讨论了有序多态系统的特征及其相关性质。通过动态多状态系统签名的概念来考虑系统的动态特性，然后根据系统寿命和成本进行相关比较。最后，通过具体的算例对所建立的理论结果进行了说明，说明了动态有序多态系统签名在评价已使用的多态相干或混合系统中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Probability in the Engineering and Informational Sciences 数学-工程：工业

CiteScore

2.20

自引率

18.20%

发文量

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.