An efficient phased-mission reliability model considering dynamic k-out-of-n subsystem redundancy
An efficient phased-mission reliability model considering dynamic k-out-of-n subsystem redundancy
复制标题
考虑动态k-out-of-n子系统冗余的高效分阶段任务可靠性模型
DOI:
10.1080/24725854.2018.1439205
复制
发表时间:
2018-07
影响因子:
2.6
通讯作者:
Mohammad Rahamat
中科院分区:
文献类型:
--
作者:
Amari Suprasad V;Wang Chaonan;Xing Liudong;Mohammad Rahamat
ABSTRACT In this article, an efficient method is proposed for exact reliability evaluation of a special class of Phased-Mission Systems (PMSs) containing multiple k-out-of-n subsystems, each of which has multiple identical and non-repairable components. A PMS performs missions involving multiple, consecutive, and non-overlapping phases of operations. In each phase, the system has to accomplish a specific task and may be subject to different stresses. Thus, the configuration of each subsystem can change from phase to phase, including its active and inactive status, redundancy type, and minimum required working components. If any one of the required (active) subsystems is failed in a phase, the system is considered to be failed in that phase. The proposed method for accurate reliability analysis of PMS considers statistical dependencies of component states across the phases, time-varying and phase-dependent failure rates, and associated cumulative damage effects. Based on conditional probabilities and an efficient recursive formula to compute these probabilities, the proposed method has both computational time and memory requirements linear to the system size. Medium-scale and large-scale systems are analyzed to demonstrate high efficiency of the proposed method.
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影响因子:
--
作者:
Zhigang Tian;M. Zuo;R. Yam
通讯作者:
Zhigang Tian;M. Zuo;R. Yam
DOI:
10.1109/rams.2011.5754460
发表时间:
2011-04
期刊:
2011 Proceedings - Annual Reliability and Maintainability Symposium
影响因子:
--
作者:
S. Amari
通讯作者:
S. Amari
DOI:
10.1016/j.ress.2012.12.003
发表时间:
2013-04
期刊:
Reliab. Eng. Syst. Saf.
影响因子:
--
作者:
L. Xing;G. Levitin
通讯作者:
L. Xing;G. Levitin
DOI:
10.1016/j.ress.2014.11.012
发表时间:
2015-04
期刊:
Reliab. Eng. Syst. Saf.
影响因子:
--
作者:
Xin-yang Wu;Xiaoyue Wu
通讯作者:
Xin-yang Wu;Xiaoyue Wu
影响因子:
8.1
作者:
Mo, Yuchang;Xing, Liudong;Dugan, Joanne Bechta
通讯作者:
Dugan, Joanne Bechta