Details
| Original language | English |
|---|---|
| Title of host publication | Safety and Reliability |
| Subtitle of host publication | Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018 |
| Editors | Coen van Gulijk, Stein Haugen, Anne Barros, Jan Erik Vinnem, Trond Kongsvik |
| Pages | 2531-2537 |
| Number of pages | 7 |
| Edition | 1sr Edition |
| ISBN (electronic) | 97813351174664 |
| Publication status | Published - 2018 |
| Event | 28th International European Safety and Reliability Conference, ESREL 2018 - Trondheim, Norway Duration: 17 Jun 2018 → 21 Jun 2018 |
Abstract
Common-Cause Failures (CCF) impose severe consequences on a complex system’s reliability and overall performance. A more realistic assessment, therefore, of the survivability of the system requires an adequate consideration of these failures. The survival signature approach opens up a new and efficient way to compute system reliability, given its ability to segregate the structural and probabilistic attributes of the system. Traditional survival signature-based approaches assume the failure of one component to have no effect on the survival of the others. This assumption, however, is flawed for most realistic systems, given the existence of various forms of couplings between components. This paper, therefore, presents a novel and general survival signature-based simulation approach for non-repairable complex systems. We have used Monte Carlo Simulation to enhance the easy propagation of CCF across the complex system, instead of an analytical approach, which currently is impossible. In real application world, however, due to lack of knowledge or data about the behaviour of a certain component, its parameters can only be reported with a certain level of confidence, normally expressed as an interval. In order to deal with the imprecision, the double loop Monte Carlo simulation methodology which bases on the survival signature is used to analyse the complex system with CCF. The numerical examples are presented in the end to show the applicability of the approach.
ASJC Scopus subject areas
- Engineering(all)
- Safety, Risk, Reliability and Quality
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Safety and Reliability: Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. ed. / Coen van Gulijk; Stein Haugen; Anne Barros; Jan Erik Vinnem; Trond Kongsvik. 1sr Edition. ed. 2018. p. 2531-2537.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - An efficient reliability analysis on complex non-repairable systems with common-cause failures
AU - Feng, G.
AU - George-Williams, H.
AU - Patelli, E.
AU - Coolen, F. P.A.
AU - Beer, M.
N1 - Publisher Copyright: © 2018 Taylor & Francis Group, London. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - Common-Cause Failures (CCF) impose severe consequences on a complex system’s reliability and overall performance. A more realistic assessment, therefore, of the survivability of the system requires an adequate consideration of these failures. The survival signature approach opens up a new and efficient way to compute system reliability, given its ability to segregate the structural and probabilistic attributes of the system. Traditional survival signature-based approaches assume the failure of one component to have no effect on the survival of the others. This assumption, however, is flawed for most realistic systems, given the existence of various forms of couplings between components. This paper, therefore, presents a novel and general survival signature-based simulation approach for non-repairable complex systems. We have used Monte Carlo Simulation to enhance the easy propagation of CCF across the complex system, instead of an analytical approach, which currently is impossible. In real application world, however, due to lack of knowledge or data about the behaviour of a certain component, its parameters can only be reported with a certain level of confidence, normally expressed as an interval. In order to deal with the imprecision, the double loop Monte Carlo simulation methodology which bases on the survival signature is used to analyse the complex system with CCF. The numerical examples are presented in the end to show the applicability of the approach.
AB - Common-Cause Failures (CCF) impose severe consequences on a complex system’s reliability and overall performance. A more realistic assessment, therefore, of the survivability of the system requires an adequate consideration of these failures. The survival signature approach opens up a new and efficient way to compute system reliability, given its ability to segregate the structural and probabilistic attributes of the system. Traditional survival signature-based approaches assume the failure of one component to have no effect on the survival of the others. This assumption, however, is flawed for most realistic systems, given the existence of various forms of couplings between components. This paper, therefore, presents a novel and general survival signature-based simulation approach for non-repairable complex systems. We have used Monte Carlo Simulation to enhance the easy propagation of CCF across the complex system, instead of an analytical approach, which currently is impossible. In real application world, however, due to lack of knowledge or data about the behaviour of a certain component, its parameters can only be reported with a certain level of confidence, normally expressed as an interval. In order to deal with the imprecision, the double loop Monte Carlo simulation methodology which bases on the survival signature is used to analyse the complex system with CCF. The numerical examples are presented in the end to show the applicability of the approach.
UR - http://www.scopus.com/inward/record.url?scp=85058068526&partnerID=8YFLogxK
U2 - 10.1201/9781351174664-318
DO - 10.1201/9781351174664-318
M3 - Conference contribution
AN - SCOPUS:85058068526
SN - 9780815386827
SP - 2531
EP - 2537
BT - Safety and Reliability
A2 - van Gulijk, Coen
A2 - Haugen, Stein
A2 - Barros, Anne
A2 - Vinnem, Jan Erik
A2 - Kongsvik, Trond
T2 - 28th International European Safety and Reliability Conference, ESREL 2018
Y2 - 17 June 2018 through 21 June 2018
ER -