Bayesian Inference for Reliability of Systems and Networks Using the Survival Signature

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 mul...

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Bibliographic Details
Published in:Risk analysis 2015-09, Vol.35 (9), p.1640-1651
Main Authors: Aslett, Louis J. M., Coolen, Frank P. A., Wilson, Simon P.
Format: Article
Language:English
Subjects:
Bayesian analysis
Bayesian methods
Exchange
Failure times
Inference
Networks
nonparametrics
parametric lifetime distributions
Reliability engineering
Risk analysis
Risk assessment
Signatures
Studies
Survival
system reliability
Systems stability
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Summary: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.
ISSN:0272-4332
1539-6924
DOI:10.1111/risa.12228