Wind Turbine Remaining Useful Life Prediction Using Small Dataset and Machine Learning Techniques-Reference-Cited by-同舟云学术

Wind Turbine Remaining Useful Life Prediction Using Small Dataset and Machine Learning Techniques

Published:2024-03-04 Issue:2 Volume:35 Page:337-345
ISSN:2195-3880
Container-title:Journal of Control, Automation and Electrical Systems
language:en
Short-container-title:J Control Autom Electr Syst

Author:

de Souza Pereira Gomes Gabriel,Moreira de Andrade Lopes Sofia^ORCID,Carrijo Polonio Araujo Daniel,Andrade Flauzino Rogério,Marques Pinto Murilo,Eduardo Guerra Alves Marcos

Funder

Agência Nacional de Energia Elétrica

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40313-024-01076-y.pdf

Reference32 articles.

1. Alfarizi, M. G., Tajiani, B., Vatn, J., & Yin, S. (2023). Optimized random forest model for remaining useful life prediction of experimental bearings. IEEE Transactions on Industrial Informatics, 19(6), 7771–7779. https://doi.org/10.1109/TII.2022.3206339

2. Associação Brasileira de Normas Técnicas. (1994). Nbr 5462—confiabilidade e mantenabilidade. Technical report, Associação Brasileira de Normas Técnicas, Rio de Janeiro RJ, novembro.

3. Barandas, M., Folgado, D., Fernandes, L., Santos, S., Abreu, M., Bota, P., Liu, H., Schultz, T., & Gamboa, H. (2020). TSFEL: Time series feature extraction library. SoftwareX, 11, 100456. https://doi.org/10.1016/j.softx.2020.100456

4. Carroll, J., Koukoura, S., McDonald, A., Charalambous, A., Weiss, S., & McArthur, S. (2019). Wind turbine gearbox failure and remaining useful life prediction using machine learning techniques. Wind Energy, 22(3), 360–375. https://doi.org/10.1002/we.2290

5. Chan, D., & Mo, J. (2017). Life cycle reliability and maintenance analyses of wind turbines. Energy Procedia, 110, 328–333. https://doi.org/10.1016/j.egypro.2017.03.148