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

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 histo...

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Main Authors: Syed Mohamed, Syed Abdul Rahman Al-Haddad, Jantan, Adznan, Karimi, Abbas, Zarafshan, Faraneh
Format: Article
Published: 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23247/
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spelling my.upm.eprints.232472014-11-04T05:24:18Z http://psasir.upm.edu.my/id/eprint/23247/ An efficient Markov model for reliability analysis of predictive hybrid m-out-of-n systems. Syed Mohamed, Syed Abdul Rahman Al-Haddad Jantan, Adznan Karimi, Abbas Zarafshan, Faraneh 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. 2011 Article PeerReviewed 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 10.5897/IJPS11.912
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description 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.
format Article
author Syed Mohamed, Syed Abdul Rahman Al-Haddad
Jantan, Adznan
Karimi, Abbas
Zarafshan, Faraneh
spellingShingle Syed Mohamed, Syed Abdul Rahman Al-Haddad
Jantan, Adznan
Karimi, Abbas
Zarafshan, Faraneh
An efficient Markov model for reliability analysis of predictive hybrid m-out-of-n systems.
author_facet Syed Mohamed, Syed Abdul Rahman Al-Haddad
Jantan, Adznan
Karimi, Abbas
Zarafshan, Faraneh
author_sort Syed Mohamed, Syed Abdul Rahman Al-Haddad
title An efficient Markov model for reliability analysis of predictive hybrid m-out-of-n systems.
title_short An efficient Markov model for reliability analysis of predictive hybrid m-out-of-n systems.
title_full An efficient Markov model for reliability analysis of predictive hybrid m-out-of-n systems.
title_fullStr An efficient Markov model for reliability analysis of predictive hybrid m-out-of-n systems.
title_full_unstemmed An efficient Markov model for reliability analysis of predictive hybrid m-out-of-n systems.
title_sort efficient markov model for reliability analysis of predictive hybrid m-out-of-n systems.
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/23247/
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score 13.209306

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