Reliability evaluation of multi-state (k1,k2,…,km)-out-of-(n1,n2,…,nm) system with common bus performance sharing

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
Yanjie Shi, Zaizai Yan
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引用次数: 0

Abstract

The reliability of multi-state (k1,k2,,km)-out-of-(n1,n2,,nm) system with performance sharing is investigated in this paper. The system consists of m types of components, comprising a total of n components, where each type i contains ni components. The system work normally only if at least ki components performance in each type i satisfy the random demands. Two stages of performance transmission are considered in the paper. In the first stage, surplus performance (SP) of components within the same type is transmitted to performance deficiency (PD) components via the common bus without any performance loss. In the second stage, after performance sharing within the same type is complete, the SP between different types can be transmitted to other types with PD through other common bus. At the same time, the loss of performance transmit between different types is considered. The reliability of the (k1,k2,,km)-out-of-(n1,n2,,nm) system is assessed using the universal generating function (UGF) approach. Finally, numerical analysis and collaborative computer system as example are conducted to demonstrate the effectiveness of the proposed model and method.
公共总线性能共享的多状态(k1,k2,…,km)-输出(n1,n2,…,nm)系统可靠性评估
研究了具有性能共享的多状态(k1,k2,…,km)-out- (n1,n2,…,nm)系统的可靠性问题。系统由m类组件组成,共n个组件,其中每一类i包含ni个组件。只有在每种类型中至少有ki个组件的性能满足随机要求时,系统才能正常工作。本文考虑了性能传递的两个阶段。在第一阶段,同一类型组件的剩余性能(SP)通过公共总线传输到性能不足(PD)组件,而不造成任何性能损失。在第二阶段,同一类型内部的性能共享完成后,不同类型之间的SP可以通过PD通过其他公共总线传输到其他类型。同时考虑了不同类型间传输的性能损失。使用通用生成函数(UGF)方法评估(k1,k2,…,km)-out-of-(n1,n2,…,nm)系统的可靠性。最后,以数值分析和协同计算机系统为例,验证了所提模型和方法的有效性。
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
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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