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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Guo, Wang, Chensheng, Zhang, Di, Yang, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402606/
https://www.ncbi.nlm.nih.gov/pubmed/34451096
http://dx.doi.org/10.3390/s21165654

Ejemplares similares