Simulation-based Uncertainty Correlation Modeling in Reliability Analysis

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Khosravi F, Müller M, Glaß M, Teich J
Zeitschrift: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
Jahr der Veröffentlichung: 2018
Band: 232
Heftnummer: 6
Seitenbereich: 725-737
ISSN: 1748-006X
eISSN: 1748-0078
Sprache: Englisch


Abstract


Due to destructive effects like temperature and radiation, today’s embedded systems have to deal with unreliable components. The intensity of these effects depends on uncertain aspects like environmental or usage conditions such that highly safety-critical systems are pessimistically designed for worst-case mission profiles. These uncertain aspects may affect several components simultaneously, implying correlation across uncertainties in their reliability. This paper enables a state-of-the-art uncertainty-aware reliability analysis technique to consider multiple arbitrary correlations, i. e. components’ reliability is affected by several uncertain aspects to different degrees. This analysis technique combines reliability models such as binary decision diagrams with a Monte Carlo simulation, and derives the uncertainty distribution of the system’s reliability with insights on mean, quantile intervals, etc. The proposed correlation

method aims at generating correlated samples from the uncertainty distribution of components’ reliability such that the shape and statistical properties of each individual distribution remain unchanged. Experimental results confirm that the proposed correlation model enables the employed uncertainty-aware analysis to accurately calculate uncertainty at system level.


FAU-Autoren / FAU-Herausgeber

Khosravi, Faramarz
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Autor(en) der externen Einrichtung(en)
Universität Ulm


Zitierweisen

APA:
Khosravi, F., Müller, M., Glaß, M., & Teich, J. (2018). Simulation-based Uncertainty Correlation Modeling in Reliability Analysis. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 232(6), 725-737. https://dx.doi.org/10.1177/1748006X18758720

MLA:
Khosravi, Faramarz, et al. "Simulation-based Uncertainty Correlation Modeling in Reliability Analysis." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232.6 (2018): 725-737.

BibTeX: 

Zuletzt aktualisiert 2018-08-12 um 13:53