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

68 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)57-62
Journal / PublicationReliability Engineering and System Safety
Volume123
Online published24 Oct 2013
Publication statusPublished - Mar 2014

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