Dynamic availability assessment and optimal component design of multi-state weighted k-out-of-n systems
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 57-62 |
Journal / Publication | Reliability Engineering and System Safety |
Volume | 123 |
Online published | 24 Oct 2013 |
Publication status | Published - Mar 2014 |
Link(s)
Abstract
Availability/reliability is a main feature of design and operation of all engineering systems. Recently, availability evaluation of multi-state systems with different structures is at the center of attention due to the wide applications in engineering. In this paper, a dynamic model is developed for the availability assessment of multi-state weighted k-out-of-n systems. Then, in a design optimization problem, the availability and capacity for the components of such systems are optimized by genetic algorithm. In the dynamic model, the probabilities and capacities of components in different states are allowed to be changed over time. For availability assessment, universal generating function and Markov process are adopted. Application of the proposed model is illustrated using a real-world marine transportation system in order to evaluate and compare the presented optimization problems in assessing system availability. © 2013 Elsevier Ltd.
Research Area(s)
- Availability assessment, Dynamic modeling, Multi-state system, Optimal design, Weighted k-out-of-n system
Citation Format(s)
Dynamic availability assessment and optimal component design of multi-state weighted k-out-of-n systems. / Faghih-Roohi, Shahrzad; Xie, Min; Ng, Kien Ming; Yam, Richard C.M.
In: Reliability Engineering and System Safety, Vol. 123, 03.2014, p. 57-62.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review