Online Remaining Useful Life Prediction Using an Integrated Aml-Informer Network on Wind Turbine Bearings with Limited Samples

Author:

Cao Lixiao,Zhang Hongyu,Wang Xueping,Qian Zheng,Meng Zong,Li Jimeng,Liu MiaoMiao

Publisher

Elsevier BV

Reference33 articles.

1. New condition-based monitoring and fusion approaches with a bounded uncertainty for bearing lifetime prediction[J];M Kordestani;IEEE Sensors Journal,2022

2. Improved remaining useful life estimation of wind turbine drivetrain bearings under varying operating conditions[J];M Rezamand;IEEE Transactions on Industrial Informatics,2020

3. A reliability analysis method based on the mixed correlated competition model considering multiperformance degradation and sudden failures[J];G Pan;Engineering Failure Analysis,2023

4. An integrated methodology for estimating the remaining useful life of high-speed wind turbine shaft bearings with limited samples;B Merainani;Renewable Energy,2022

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