"Towards unified aleatory and epistemic uncertainty quantification for ..."

Tao Liang et al. (2024)

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DOI: 10.1016/J.AEI.2024.102719

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type: Journal Article

metadata version: 2024-08-04

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Tao Liang, Fuli Wang, Shu Wang, Kang Li, Xiang Ma, Xuelei Mo:
Towards unified aleatory and epistemic uncertainty quantification for machinery health prognostic through sequential heteroscedastic Gaussian process regression. Adv. Eng. Informatics 62: 102719 (2024)

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