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Optimal Reliability Equivalence Factor for Reliability System improvement Using Memetic Algorithm
Department of Mathematics and Statistics, Mazandaran University, Babolsar.
Department of Mathematics and Statistics, Mazandaran University, Babolsar.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Amity Center for Interdisciplinary Research, Amity University.
2017 (English)In: International Journal of Reliability, Quality and Safety Engineering (IJRQSE), ISSN 0218-5393, Vol. 24, no 6, 1740008Article in journal (Refereed) Published
Abstract [en]

In this paper, optimal reduction and redundancy methods for reliability system improvement have been proposed. Multilevel redundancy allocation problem (MLRAP) based on hot and cold redundancies have been considered. For various reasons, for instance, space limitation, high cost and so on, redundancy method cannot always be applied to improve system reliability. Hence the concept of equivalence has been presented to choice a more suitable method. In these conditions, optimal reduction method has been applied instead of optimal redundancy method. So that we decide what appropriate degree to decrease the failure rate is. To solve this problem, the value of optimal reliability equivalence factor is obtained by equating two obtained reliability functions based on optimal redundancy and reduction methods. Result shows that equivalence value maximizes the efficiency of the system performance in reduction method instead of redundancy method. Finally, the numerical examples illustrate the results obtained theoretically.

Place, publisher, year, edition, pages
World Scientific, 2017. Vol. 24, no 6, 1740008
Keyword [en]
Redundancy allocation, Reduction method, Optimal reliability equivalence factor, Memetic algorithm, Multi-level series system
National Category
Reliability and Maintenance Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-65560DOI: 10.1142/S0218539317400083OAI: oai:DiVA.org:ltu-65560DiVA: diva2:1139996
Note

Validerad;2017;Nivå 2;2017-09-12 (andbra)

Available from: 2017-09-11 Created: 2017-09-11 Last updated: 2017-09-12Bibliographically approved

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Publisher's full texthttp://www.worldscientific.com/doi/abs/10.1142/S0218539317400083

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