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Nonparametric predictive inference for system reliability using the survival signature.

Coolen, F.P.A. and Coolen-Maturi, T. and Al-nefaiee, A.H. (2014) 'Nonparametric predictive inference for system reliability using the survival signature.', Proceedings of the Institution of Mechanical Engineers, part O : journal of risk and reliability., 228 (5). pp. 437-448.

Abstract

The survival signature has recently been presented as an attractive concept to aid quantification of system reliability. It has similar characteristics as the system signature, which is well established, but contrary to the latter it is easily applicable to systems with multiple types of components. We present an introductory overview of the survival signature together with new results to aid computation. We develop nonparametric predictive inference for system reliability using the survival signature. The focus is on the failure time of a system, given failure times of tested components of the same types as used in the system.

Item Type:Article
Keywords:Coherent systems, Exchangeable components, Lower and upper survival functions, Nonparametric predictive inference, Signature, Survival signature, System reliability.
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:http://dx.doi.org/10.1177/1748006X14526390
Publisher statement:The final definitive version of this article has been published in the journal Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 228/5 2014 © Institution of Mechanical Engineers 2014 by SAGE Publications Ltd at the Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability page: http://pio.sagepub.com/ on SAGE Journals Online: http://online.sagepub.com/
Record Created:04 Jun 2014 10:05
Last Modified:20 Oct 2014 11:32

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