Towards unified aleatory and epistemic uncertainty quantification for machinery health prognostic through sequential heteroscedastic Gaussian process regression

Client

• EU – Horizon Europe (EC/HEU) / 101070284
• Research Council of Norway (RCN) / 309691

Author(s)

• Tao Liang
• Fuliang Wang
• Shu Wang
• Kang Li
• Xiang Ma
• Xuelei Mo

Affiliation

• Northeastern University Shenyang
• China
• SINTEF Industry / Metal Production and Processing

DOI