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An efficient Markov model for reliability analysis of predictive hybrid m-out-of-n systems.


Citation

Syed Mohamed, Syed Abdul Rahman Al-Haddad and Jantan, Adznan and Karimi, Abbas and Zarafshan, Faraneh (2011) An efficient Markov model for reliability analysis of predictive hybrid m-out-of-n systems. International Journal of the Physical Sciences, 6 (30). 6981 - 6994. ISSN 1992-1950

Abstract

In this paper, predictive hybrid redundancy has been extended to large-scale control systems comprising n modules. In m-out-of-n systems, if m-out-of-n modules are in agreement, the system can report consensus; otherwise the system fails. While in our new extension, if there is no agreement, a history record of previous successful result(s) is used to predict the output. In order to analyze the reliability of this system, we present a Markov model based on which the reliability has been computed and compared with m-out-of-n redundancy. The results of simulation demonstrated that the new redundancy improves overall system reliability in all examined scenarios, especially when the number m is large.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.5897/IJPS11.912
Keywords: Fault-tolerant systems; Redundancy; m-out-of-n systems; Voting algorithm; Reliability.
Depositing User: Muizzudin Kaspol
Date Deposited: 04 Nov 2014 05:24
Last Modified: 04 Nov 2014 05:24
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.5897/IJPS11.912
URI: http://psasir.upm.edu.my/id/eprint/23247
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