Feature fusion model based health indicator construction and self-constraint state-space estimator for remaining useful life prediction of bearings in wind turbines-Reference-Cited by-同舟云学术

Feature fusion model based health indicator construction and self-constraint state-space estimator for remaining useful life prediction of bearings in wind turbines

Published:2023-05 Issue: Volume:233 Page:109124
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Li Xilin,Teng Wei,Peng Dikang,Ma Tao,Wu Xin,Liu Yibing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference34 articles.

1. Global Wind Report 2022. [Online]. Available: https://gwec.net/global-wind-report-2022/.

2. A remaining useful life prediction method for bearing based on deep neural networks;Ding;Measurement,2021

3. Research on remaining useful life prediction of rolling element bearings based on time-varying Kalman filter;Cui;IEEE Trans Instrum Meas,2019

4. Remain useful life prediction of rolling bearings based on exponential model optimized by gradient method;Wang;Measurement,2021

5. Remaining useful life prediction of wind turbine generator bearing based on EMD with an indicator;Cao,2018

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