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An Improved Feature Selection Method Based on Random Forest Algorithm for Wind Turbine Condition Monitoring
Feature selection and dimensionality reduction are important for the performance of wind turbine condition monitoring models using supervisory control and data acquisition (SCADA) data. In this paper, an improved random forest algorithm, namely Feature Simplification Random Forest (FS_RF), is propos...
| 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/PMC8402606/ https://www.ncbi.nlm.nih.gov/pubmed/34451096 http://dx.doi.org/10.3390/s21165654 |