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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/3838

Title: A system reliability approach to decision making in autonomous multi-platform systems operating phased missions
Authors: Prescott, Darren R.
Remenyte-Prescott, Rasa
Andrews, J.D.
Keywords: Phased mission
Autonomous system
Fault tree
Binary decision diagram
Multi-platform system
Issue Date: 2008
Publisher: © Institute of Electrical and Electronics Engineers (IEEE)
Citation: PRESCOTT, D.R., REMENYTE-PRESCOTT, R. and ANDREWS, J.D., 2008. A system reliability approach to decision making in autonomous multi-platform systems operating phased missions. IN: Proceedings of Reliability, Availability and Maintainability Conference, RAMS 2008, Las Vegas, USA, January
Abstract: This paper presents a decision making strategy for autonomous multi-platform systems, wherein a number of platforms perform phased missions in order to achieve an overall mission objective. Phased missions are defined for both single and multi-platform systems and a decision making strategy is outlined for such systems. The requirements for a tool performing such a strategy are discussed and methods and techniques, traditionally used for system reliability assessment, are identified to fulfill these requirements. Two examples are presented in order to demonstrate how a decision making tool would be employed in practice. Finally, a brief discussion of the efficient implementation of such a strategy is presented.
Description: This is a conference paper [© IEEE]. It is also available from: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
URI: https://dspace.lboro.ac.uk/2134/3838
Appears in Collections:Conference Papers and Contributions (Aeronautical and Automotive Engineering)

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