Safe reliability assessment through probabilistic constraint reasoning

Elsa Carvalho, Jorge Cruz, Pedro Barahona

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Reliability quantifies the ability of a system to perform its required function under variable conditions. The adequate functioning of a system is often represented by inequality constraints, and its reliability is the probability that such constraints are satisfied, given the uncertainty the variables are subject to. Since this computation is very hard, namely when the systems are modeled with nonlinear constraints, traditional methods adopt a number of approximations, thus computing a value that may be far from the exact one. Moreover, these methods do not provide any guarantees regarding the correctness of the computed results. In this paper, we use the probabilistic continuous constraints framework to efficiently compute safe bounds for the reliability of a system, and illustrate it on a number of representative examples. © 2015 Taylor & Francis Group.

Original languageEnglish
Title of host publicationSafety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014
PublisherCRC Press/Balkema
Pages2269-2277
Number of pages9
ISBN (Print)9781138026810
DOIs
Publication statusPublished - 2015
EventEuropean Safety and Reliability Conference, ESREL 2014 - Wroclaw, Poland
Duration: 14 Sep 201418 Sep 2014

Conference

ConferenceEuropean Safety and Reliability Conference, ESREL 2014
CountryPoland
CityWroclaw
Period14/09/1418/09/14

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  • Cite this

    Carvalho, E., Cruz, J., & Barahona, P. (2015). Safe reliability assessment through probabilistic constraint reasoning. In Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014 (pp. 2269-2277). CRC Press/Balkema. https://doi.org/10.1201/b17399-311