An Improved Feature Selection Method Based on Random Forest Algorithm for Wind Turbine Condition Monitoring

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...

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Bibliographic Details
Main Authors: Guo Li, Chensheng Wang, Di Zhang, Guang Yang
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
wind turbines
feature selection
FS_RF algorithm
condition monitoring
gated recurrent unit
blade breakages
Online Access:https://www.mdpi.com/1424-8220/21/16/5654

Internet

https://www.mdpi.com/1424-8220/21/16/5654

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