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Bayesian inference for reliability of systems and networks using the survival signature

Aslett, L.J.M.; Coolen, F.P.A.; Wilson, S.P.

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Authors

S.P. Wilson



Abstract

The concept of survival signature has recently been introduced as an alternative to the signature for reliability quantification of systems. While these two concepts are closely related for systems consisting of a single type of component, the survival signature is also suitable for systems with multiple types of component, which is not the case for the signature. This also enables the use of the survival signature for reliability of networks. In this article, we present the use of the survival signature for reliability quantification of systems and networks from a Bayesian perspective. We assume that data are available on tested components that are exchangeable with those in the actual system or network of interest. These data consist of failure times and possibly right-censoring times. We present both a nonparametric and parametric approach.

Citation

Aslett, L., Coolen, F., & Wilson, S. (2015). Bayesian inference for reliability of systems and networks using the survival signature. Risk Analysis, 35(9), 1640-1651. https://doi.org/10.1111/risa.12228

Journal Article Type Article
Acceptance Date Jun 1, 2014
Online Publication Date Jun 11, 2014
Publication Date Sep 1, 2015
Deposit Date Sep 29, 2015
Publicly Available Date Mar 28, 2024
Journal Risk Analysis
Print ISSN 0272-4332
Electronic ISSN 1539-6924
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 35
Issue 9
Pages 1640-1651
DOI https://doi.org/10.1111/risa.12228
Keywords Bayesian methods, Networks, Nonparametrics, Parametric lifetime distributions, System reliability.

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Copyright Statement
This is the accepted version of the following article: Aslett, L. J. M., Coolen, F. P. A. and Wilson, S. P. (2015), Bayesian Inference for Reliability of Systems and Networks Using the Survival Signature. Risk Analysis, 35(9): 1640-1651., which has been published in final form at http://dx.doi.org/10.1111/risa.12228. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.





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