A novel sparse Gaussian process regression with time-aware spatiotemporal kernel for remaining useful life prediction and uncertainty quantification of bearings
| Author(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) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241282876 |
- About this
data sheet - Reference-ID
10806161 - Published on:
10/11/2024 - Last updated on:
10/11/2024
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