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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/3939

Title: A binary decision diagram method for phased mission analysis of non-repairable systems
Authors: Dunnett, Sarah J.
Andrews, J.D.
Keywords: Phased mission analysis
Fault tree analysis
Binary decision diagrams
Nonrepairable systems
Issue Date: 2006
Publisher: © IMechE / Professional Engineering Publishing
Citation: DUNNETT, S.J. and ANDREWS, J.D., 2006. A binary decision diagram method for phased mission analysis of non-repairable systems. Proceedings of the Institution of Mechanical Engineers, Part O : Journal of Risk and Reliability, 220 (2), pp. 93-104 [DOI: 10.1243/1748006XJRR27]
Abstract: Phased mission analysis is carried out to predict the reliability of systems which undergo a series of phases, each with differing requirements for success, with the mission objective being achieved only on the successful completion of all phases. Many systems from a range of industries experience such missions. The methods used for phased mission analysis are dependent upon the repairability of the system during the phases. If the system is non-repairable, fault-tree-based methods offer an efficient solution. For repairable systems, Markov approaches can be used. This paper is concerned with the analysis of non-repairable systems. When the phased mission failure causes are represented using fault trees, it is shown that the binary decision diagram (BDD) method of analysis offers advantages in the solution process. A new way in which BDD models can be efficiently developed for phased mission analysis is proposed. The paper presents a methodology by which the phased mission models can be developed and analysed to produce the phase failure modes and the phase failure likelihoods.
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/2134/3939
ISSN: 1748-006X
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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