Reliability of mission-based k-out-of-n systems with exponential phase durations and component lifetimes

Author:

Çekyay Bora1ORCID

Affiliation:

1. Department of Industrial Engineering, Doğuş University, Istanbul, Turkey

Abstract

This paper focuses on the reliability analysis of [Formula: see text]-out-of-[Formula: see text] systems which are designed to perform a given mission consisting of several distinct phases. As the phases of the mission change, the reliability characteristics of the system and the system structure vary accordingly. The phase transition probabilities, phase durations, and component failure rates are dependent on the number of operating components. Moreover, the system is allowed to have cold, warm, or hot standby components. We propose computationally tractable methods to compute the system reliability, mean time to failure, and long-run availability for such a general system structure. We also provide a numerical analysis to show the applicability and the empirical computational complexity of the proposed methods.

Publisher

SAGE Publications

Subject

Safety, Risk, Reliability and Quality

Cited by 4 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. Signature reliability analysis of complex consecutive k-out-of-n:W CMO system via UGF and SFA;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2023-09-23

2. Performance Modeling and Estimation of Serial System Exhibiting k-out-of-n: G Scheme with Controller Failure;Jordan Journal of Mechanical and Industrial Engineering;2023-06-01

3. Redundancy allocation optimization for multi-state system with hierarchical performance requirements;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2022-09-21

4. MTTF and availability of semi-Markov missions with non-identical generally distributed component lifetimes;Stochastic Models;2022-08-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3