考虑平衡依赖机制的多状态k- of-n: F网络系统性能评价

IF 11 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Hongda Gao , Tengfei Tu , Chen Fang , Xiaoguang Zhou
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引用次数: 0

摘要

近年来,平衡系统可靠性模型因其在无人系统、能源供应系统、生产系统等领域具有很强的应用潜力而引起了广泛的研究兴趣。网络模型在现实中广泛存在,催生了网络结构下均衡系统模型的研究。本研究将二元状态k-out- n模型扩展到多状态框架,其中组件和系统都可以表现出不同的操作条件。具体而言,首先,通过引入组件可以完全运行、部分运行或失效的多状态系统模型,给出了k / n: F平衡系统的定义。其次,我们描述了系统平衡条件,该条件被重新定义为在单个部门的不同工作水平上保持相同数量的操作组件。第三,利用阶统计量和马尔可夫链模型技术,推导出考虑系统可靠性的新可靠性公式。最后,数值算例强调了所提出的可靠性模型的实际意义和改进的真实感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-state k-out-of-n: F network system performance evaluation by considering a balance dependence mechanism
In recent years, the balanced system reliability models have attracted a lot of research interests because of its strong application potential, for example in the fields of unmanned systems, energy supply systems, and production systems, etc. Network models exist widely in reality, which gives birth to the research of equilibrium system model under network structure. This study extends the binary-state k-out-of-n model to a multi-state framework, where both the components and system could exhibit varying operational conditions. In specific, firstly, the definition of the k-out-of-n: F balanced system is given by introducing a multi-state system model in which the components could be fully operational, partially operational, or failed. Secondly, we describe the system balance condition which is redefined to maintain an equal number of operational components in different working levels across in an individual sector. Thirdly, the new reliability formulas will be derived that account for the system reliability, utilizing both the order statistics and Markov chain model techniques. Finally, numerical examples highlight the practical implications and improved realism of the proposed reliability models.
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来源期刊
Reliability Engineering & System Safety
Reliability Engineering & System Safety 管理科学-工程:工业
CiteScore
15.20
自引率
39.50%
发文量
621
审稿时长
67 days
期刊介绍: Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.
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