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

Category

Academic article

Client

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

Language

English

Author(s)

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

Affiliation

  • Unknown
  • SINTEF Industry / Metal Production and Processing

Year

2024

Published in

Advanced Engineering Informatics

ISSN

1474-0346

Publisher

Elsevier

Volume

62

Issue

Part B

Page(s)

1 - 16

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