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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |