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Nonparametric predictive inference for system reliability using the survival signature

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

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Authors

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/







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