A novel sparse Gaussian process regression with time-aware spatiotemporal kernel for remaining useful life prediction and uncertainty quantification of bearings
Auteur(s): |
Jin Cui
(School of Mechanical Engineering and Automation, Beihang University, Beijing, China)
Jinchen Ji (School of Mechanical and Mechatronic Engineering, University of Technology Sydney, Ultimo, NSW, Australia) Tianxiao Zhang (School of Mechanical Engineering and Automation, Beihang University, Beijing, China) Qing Ni (School of Mechanical and Mechatronic Engineering, University of Technology Sydney, Ultimo, NSW, Australia) Licai Cao (School of Mechanical Engineering and Automation, Beihang University, Beijing, China) Zixu Chen (State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing, China) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring |
DOI: | 10.1177/14759217241282876 |
- Informations
sur cette fiche - Reference-ID
10806161 - Publié(e) le:
10.11.2024 - Modifié(e) le:
10.11.2024