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

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  • Turati, Pietro
  • Pedroni, Nicola
  • Zio, Enrico

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.

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  • Turati, Pietro & Pedroni, Nicola & Zio, Enrico, 2017. "Simulation-based exploration of high-dimensional system models for identifying unexpected events," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 317-330.
    • Handle: RePEc:eee:reensy:v:165:y:2017:i:c:p:317-330
    DOI: 10.1016/j.ress.2017.04.004
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    References listed on IDEAS

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    8. Coppitters, Diederik & De Paepe, Ward & Contino, Francesco, 2019. "Surrogate-assisted robust design optimization and global sensitivity analysis of a directly coupled photovoltaic-electrolyzer system under techno-economic uncertainty," Applied Energy, Elsevier, vol. 248(C), pages 310-320.
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