Meta deep learning based rotating machinery health prognostics toward few-shot prognostics
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Software
Reference41 articles.
1. Failure prognosis and applications—A survey of recent literature;Kordestani;IEEE Trans. Reliab.,2019
2. Intelligent fault diagnosis of rotor-bearing system under varying working conditions with modified transfer CNN and thermal images;Shao;IEEE Trans. Ind. Inf.,2020
3. Remaining useful life estimation – A review on the statistical data driven approaches;Si;European J. Oper. Res.,2011
4. Statistical learning methods applied to process monitoring: An overview and perspective;Weese;J. Qual. Technol.,2016
5. A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions;Zhu;Mech. Syst. Signal Process.,2020
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