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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/3937

Title: An offshore safety system optimization using a SPEA2 based approach
Authors: Riauke, Jelena
Bartlett, L.M.
Keywords: Safety systems
Genetic algorithms
Issue Date: 2008
Publisher: © IMechE / Professional Engineering Publishing
Citation: RIAUKE, J. and BARTLETT, L.M., 2008. An offshore safety system optimization using a SPEA2 based approach. Proceedings of the Institution of Mechanical Engineers, Part O : Journal of Risk and Reliability, 222 (3), pp. 271-282 [DOI:10.1243/1748006XJRR113]
Abstract: A safety system is an essential part of any industrial system as it operates to prevent the occurrence of certain conditions and their future development into a hazardous situation. Failure of such systems may have catastrophic consequences from small injuries to even death of members of the workforce and public, therefore, it is imperative to minimize safety system unavailability and also find the balance between its unavailability and other limitations on its operation, for example, life cycle cost and spurious trip frequency. Hence, a multi-objective optimization of the system design is required. This paper describes a design optimization scheme using multi-objective genetic algorithms (MOGAs) applied to a firewater deluge system (FDS) on an offshore platform, which works to supply on demand water and foam at a controlled pressure to a specific area on the platform, protected by the deluge system.
Description: This article was published in the journal, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability [© IMechE] and is also available at: http://journals.pepublishing.com/content/119859
URI: https://dspace.lboro.ac.uk/2134/3937
ISSN: 1748-006X
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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