TY - JOUR
T1 - Optimal design of a linear sliding window system with consideration of performance sharing
AU - Xiao, Hui
AU - Zhang, Yiyun
AU - Xiang, Yisha
AU - Peng, Rui
N1 - Funding Information:
This work was supported in part from the National Natural Science Foundation of China under grant numbers: 71971176 and 71601158, and the Beijing Nova Program of Science & Technologyunder grant Z191100001119100.
Funding Information:
This work was supported in part from the National Natural Science Foundation of China under grant numbers: 71971176 and 71601158 , and the Beijing Nova Program of Science & Technology under grant Z191100001119100 .
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/6
Y1 - 2020/6
N2 - 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.
AB - 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.
KW - Common bus performance sharing
KW - Genetic algorithm
KW - Multi-state system reliability
KW - Sliding window system
KW - Universal generating function
UR - http://www.scopus.com/inward/record.url?scp=85080121861&partnerID=8YFLogxK
U2 - 10.1016/j.ress.2020.106900
DO - 10.1016/j.ress.2020.106900
M3 - Article
AN - SCOPUS:85080121861
SN - 0951-8320
VL - 198
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
M1 - 106900
ER -