Modelling systemic risks to inform a repowering decision
Walls, Lesley and Quigley, John and Houghton, Tom and Howick, Susan and Ackermann, Fran (2013) Modelling systemic risks to inform a repowering decision. In: ESREL 2013, 2013-09-30. (Unpublished) (https://doi.org/10.1201/b15938-332)
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Abstract
This article describes a method for estimating the reliability of a system under development that is an evolution of previous designs. We present an approach to making effective use of heritage data from similar operational systems to estimate reliability of a design that is yet to realise any data. The approach also has a mechanism to adjust initial estimates in the light of sparse data that becomes available in early stages of test. While the estimation approach, known as empirical Bayes is generic, we focus on one shot devices as this was the type of system which provided the practical motivation for this work and for which we illustrate an application.
ORCID iDs
Walls, Lesley ORCID: https://orcid.org/0000-0001-7016-9141, Quigley, John ORCID: https://orcid.org/0000-0002-7253-8470, Houghton, Tom, Howick, Susan ORCID: https://orcid.org/0000-0002-0796-7981 and Ackermann, Fran;-
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Item type: Conference or Workshop Item(Paper) ID code: 45630 Dates: DateEvent30 September 2013PublishedSubjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management Department: Strathclyde Business School > Management Science
Faculty of Engineering > Electronic and Electrical EngineeringDepositing user: Pure Administrator Date deposited: 05 Nov 2013 10:11 Last modified: 11 Nov 2024 16:38 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/45630