Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ress.2013.10.002
Title: Dynamic availability assessment and optimal component design of multi-state weighted k-out-of-n systems
Authors: Faghih-Roohi, S.
Xie, M. 
Ng, K.M. 
Yam, R.C.M.
Keywords: Availability assessment
Dynamic modeling
Multi-state system
Optimal design
Weighted k-out-of-n system
Issue Date: 2014
Source: Faghih-Roohi, S., Xie, M., Ng, K.M., Yam, R.C.M. (2014). Dynamic availability assessment and optimal component design of multi-state weighted k-out-of-n systems. Reliability Engineering and System Safety 123 : 57-62. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ress.2013.10.002
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.
Source Title: Reliability Engineering and System Safety
URI: http://scholarbank.nus.edu.sg/handle/10635/63100
ISSN: 09518320
DOI: 10.1016/j.ress.2013.10.002
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

37
checked on Jan 8, 2018

WEB OF SCIENCETM
Citations

28
checked on Jan 8, 2018

Page view(s)

55
checked on Jan 15, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.