Simulation methods for system reliability using the survival signature
Patelli, Edoardo and Feng, Geng and Coolen, Frank PA and Coolen-Maturi, Tahani (2017) Simulation methods for system reliability using the survival signature. Reliability Engineering and System Safety, 167. pp. 327-337. ISSN 0951-8320 (https://doi.org/10.1016/j.ress.2017.06.018)
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Abstract
Recently, the survival signature has been presented as a summary of the structure function which is sufficient for computation of common reliability metrics and has the crucial advantage that it can be applied to systems with components whose failure times are not exchangeable. The survival signature provides a huge reduction in required information, e.g. for its storage, compared to the full structure function, its implementation to larger systems is still difficult in a purely analytical manner and simulations may be required to derive the reliability metrics of interest. Hence, the main question addressed in this paper is whether or not the survival signature provides sufficient information for efficient simulation to derive the system’s failure time distribution. We answer this question in the affirmative by presenting two algorithms for survival signature-based simulation. In addition, we present a third simulation algorithm that can be used in case of repairable components. It turns out that these algorithms are very efficient, beyond the initial advantage of requiring only the survival signature to be available, instead of the full structure function.
ORCID iDs
Patelli, Edoardo ORCID: https://orcid.org/0000-0002-5007-7247, Feng, Geng, Coolen, Frank PA and Coolen-Maturi, Tahani;-
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Item type: Article ID code: 70453 Dates: DateEvent30 November 2017Published15 June 2017Published Online13 June 2017AcceptedSubjects: Science > Mathematics
Technology > Engineering (General). Civil engineering (General)Department: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 07 Nov 2019 10:31 Last modified: 11 Nov 2024 12:29 URI: https://strathprints.strath.ac.uk/id/eprint/70453