Reliability evaluation of generalised multi-state k-out-of-n systems based on FMCI approach

被引:62
作者
Zhao, Xian [1 ]
Cui, Lirong [1 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
k-out-of-n systems; multi-state systems; finite Markov chain imbedding approach; system state distribution; RECURSIVE ALGORITHM; MODELS;
D O I
10.1080/00207720903353609
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Most studies on k-out-of-n systems are in the binary context. The k-out-of-n system has failed if and only if at least k components have failed. The generalised multi-state k-out-of-n: G and F system models are defined by Huang etal. [Huang, J., Zuo, M.J., and Wu, Y.H. (2000), 'Generalized Multi-state k-out-of-n: G Systems', IEEE Transactions on reliability, 49, 105-111] and Zuo and Tian [Zuo, M.J., and Tian, Z.G. (2006), 'Performance Evaluation of Generalized Multi-state k-out-of-n Systems', IEEE Transactions on Reliability, 55, 319-327], respectively. In this article, by using the finite Markov chain imbedding (FMCI) approach, we present a unified formula with the product of matrices for evaluating the system state distribution for generalised multi-state k-out-of-n: F systems which include the decreasing multi-state F system, the increasing multi-state F system and the non-monotonic multi-state F system. Our results can be extended to the generalised multi-state k-out-of-n: G system. Three numerical examples are presented to illustrate the results.
引用
收藏
页码:1437 / 1443
页数:7
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