A class-imbalance-aware domain adaptation framework for fault diagnosis of wind turbine drivetrains under different environmental conditions-Reference-Cited by-同舟云学术

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A class-imbalance-aware domain adaptation framework for fault diagnosis of wind turbine drivetrains under different environmental conditions

Published:2024-03 Issue: Volume:296 Page:116902
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Lu Biliang^ORCID,Dibaj Ali^ORCID,Gao Zhen^ORCID,Nejad Amir R.^ORCID,Zhang Yingjie^ORCID

Funder

Norges Forskningsråd

China Scholarship Council

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference54 articles.

1. Transfer learning: Survey and classification;Agarwal,2021

2. Vibration based fault diagnostics in a wind turbine planetary gearbox using machine learning;Amin;Wind Eng.,2023

3. Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions;An;Expert Syst. Appl.,2023

4. Offshore wind power development in Europe and its comparison with onshore counterpart;Bilgili;Renew. Sustain. Energy Rev.,2011

5. Vibration and oil analysis by ferrography for condition monitoring;Biswas;J. Inst. Eng. (India): Ser. C,2013

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