Nonparametric predictive inference for system reliability using the survival signature

Coolen, F.P.A.; Coolen-Maturi, T.; Al-nefaiee, A.H.

doi:10.1177/1748006x14526390

Nonparametric predictive inference for system reliability using the survival signature

Coolen, F.P.A.; Coolen-Maturi, T.; Al-nefaiee, A.H.

Authors

Professor Frank Coolen frank.coolen@durham.ac.uk
Professor

Dr Tahani Coolen-Maturi tahani.maturi@durham.ac.uk
Associate Professor

A.H. Al-nefaiee

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.

Citation

Coolen, F., Coolen-Maturi, T., & Al-nefaiee, A. (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), 437-448. https://doi.org/10.1177/1748006x14526390

Journal Article Type	Article
Acceptance Date	Feb 7, 2014
Online Publication Date	May 14, 2014
Publication Date	Oct 14, 2014
Deposit Date	Jun 3, 2014
Publicly Available Date	Jun 4, 2014
Journal	Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
Print ISSN	1748-006X
Electronic ISSN	1748-0078
Publisher	SAGE Publications
Peer Reviewed	Peer Reviewed
Volume	228
Issue	5
Pages	437-448
DOI	https://doi.org/10.1177/1748006x14526390
Keywords	Coherent systems, Exchangeable components, Lower and upper survival functions, Nonparametric predictive inference, Signature, Survival signature, System reliability.

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Copyright 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/