Simulation-based exploration of high-dimensional system models for identifying unexpected events

Pietro Turati, Nicola Pedroni and Enrico Zio

Reliability Engineering and System Safety, 2017, vol. 165, issue C, 317-330

Abstract: Mathematical numerical models are increasingly employed to simulate system behavior and identify sequences of events or configurations of the system’s design and operational parameters that can lead the system to extreme conditions (Critical Region, CR). However, when a numerical model is: i) computationally expensive, ii) high-dimensional, and iii) complex, these tasks become challenging.

Keywords: Critical region exploration; Unexpected events; Polynomial chaos expansion; Kriging; Markov Chain Monte Carlo (MCMC); Clustering; Local outlier factor; Integrated Deterministic Probabilistic Safety Assessment (IDPSA) (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:165:y:2017:i:c:p:317-330

DOI: 10.1016/j.ress.2017.04.004

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