An Ensemble Learning Solution for Predictive Maintenance of Wind Turbines Main Bearing

A novel and innovative solution addressing wind turbines’ main bearing failure predictions using SCADA data is presented. This methodology enables to cut setup times and has more flexible requirements when compared to the current predictive algorithms. The proposed solution is entirely unsupervised...

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Detalles Bibliográficos
Autores principales: Beretta, Mattia, Julian, Anatole, Sepulveda, Jose, Cusidó, Jordi, Porro, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926535/
https://www.ncbi.nlm.nih.gov/pubmed/33671601
http://dx.doi.org/10.3390/s21041512

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926535/
https://www.ncbi.nlm.nih.gov/pubmed/33671601
http://dx.doi.org/10.3390/s21041512

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