Cold-standby sequencing optimization considering mission cost

被引:54
|
作者
Levitin, Gregory [1 ,2 ]
Xing, Liudong [1 ,3 ]
Dai, Yuanshun [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci, Collaborat Auton Comp Lab, Chengdu 610054, Peoples R China
[2] Israel Elect Corp Ltd, IL-31000 Haifa, Israel
[3] Univ Massachusetts, Dept Elect & Comp Engn, Dartmouth, MA 02747 USA
关键词
Cold-standby system; Sequencing optimization; Mission cost; 1-out-of-N: G system; Universal generating function (UGF); SERIES-PARALLEL SYSTEMS; RELIABILITY OPTIMIZATION; REDUNDANCY ALLOCATION; GENETIC ALGORITHM; CHOICE;
D O I
10.1016/j.ress.2013.04.010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper considers the optimal standby component sequencing problem (SESP) for 1-out-of-N: G heterogeneous cold-standby systems. Given the desired cold-standby redundancy level and a fixed set of components, the objective of the optimal system operation scheduling is to select the initiation sequence of the system components so as to minimize the expected mission cost of the system. Based on a discrete approximation of time-to-failure distributions of the system components, the mission reliability and expected mission cost are simultaneously evaluated using the universal generating function technique. A genetic algorithm is used as an optimization tool for solving the formulated SESP problem for the 1-out-of-N: G heterogeneous cold-standby systems. Several examples are given to illustrate the considered problem and the proposed solution methodology. (c) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:28 / 34
页数:7
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