期刊
RELIABILITY ENGINEERING & SYSTEM SAFETY
卷 198, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2020.106900
关键词
Multi-state system reliability; Sliding window system; Universal generating function; Common bus performance sharing; Genetic algorithm
资金
- National Natural Science Foundation of China [71971176, 71601158]
- Beijing Nova Program of Science & Technologyunder [Z191100001119100]
Existing research on the linear sliding window system (SWS) has focused on modeling and extending to different system structures. Little research has devoted to analyzing the performance redistribution internally. This research considers an SWS with a common bus such that the performance can be redistributed among system elements. The reliability model of an SWS with a common bus is built with consideration of performance sharing. We extend the universal generating function technique to represent the states of the system, and formulate an optimization problem to determine the optimal performance sharing policy. We further suggest a reliability evaluation algorithm based on the representation function of the system states and the optimal performance sharing policy. Optimal allocation of the system elements is also considered in this work. Numerical studies show that the system reliability can be improved by considering a common bus performance sharing. The optimal allocation of system elements can also increase the system reliability without incurring extra costs.
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