Wu, Shaomin (2021) Relevance Vector Regression for Remaining Useful Life Prediction. In: Mathematical Modeling in Physical Sciences, Social Sciences and Technology (icmm-21), 17-18 December, 2021, Organized by Department of Mathematics, Chaudhary Bansi Lal University, 17-18 Dec 2021, Bhiwani, India. (Unpublished) (KAR id:92364)
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Abstract
This talk is based on the paper entitled " Wang, X., Jiang, B., Wu, S., Lu, N. and Ding, S., 2021. Multivariate Relevance Vector Regression based Degradation Modeling and Remaining Useful Life Prediction. IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2021.3114724."
| Item Type: | Conference or workshop item (Keynote) |
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| Subjects: | H Social Sciences > HA Statistics > HA33 Management Science |
| Institutional Unit: | Schools > Kent Business School |
| Former Institutional Unit: |
Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
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| Depositing User: | Shaomin Wu |
| Date Deposited: | 17 Dec 2021 11:52 UTC |
| Last Modified: | 22 Jul 2025 09:09 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/92364 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0001-9786-3213
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