"A Framework based on Finite Mixture Models and Adaptive Kriging for ..."

L. Puppo et al. (2021)

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DOI: 10.1016/J.RESS.2021.107963

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type: Journal Article

metadata version: 2022-04-09

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L. Puppo, Nicola Pedroni, Francesco Di Maio, A. Bersano, C. Bertani, Enrico Zio:
A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System. Reliab. Eng. Syst. Saf. 216: 107963 (2021)

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