scholarly journals A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 21020-21031 ◽  
Author(s):  
Dahai Zhang ◽  
Liyang Qian ◽  
Baijin Mao ◽  
Can Huang ◽  
Bin Huang ◽  
...  
Keyword(s):  
Fault Detection ◽  
Random Forests ◽  
Wind Turbines ◽  
Data Driven

An Intelligent Data-Driven Machine Learning Approach for Fault Detection of Wind Turbines

2021 ◽  
Author(s):  
Francisco Bilendo ◽  
Hamed Badihi ◽  
Ningyun Lu ◽  
Philippe Cambron ◽  
Bin Jiang
Keyword(s):  
Machine Learning ◽  
Fault Detection ◽  
Wind Turbines ◽  
Data Driven ◽  
Learning Approach ◽  
Machine Learning Approach

Data-driven design of robust fault detection system for wind turbines

Mechatronics ◽  
2014 ◽  
Vol 24 (4) ◽  
pp. 298-306 ◽  
Author(s):  
Shen Yin ◽  
Guang Wang ◽  
Hamid Reza Karimi
Keyword(s):  
Fault Detection ◽  
Wind Turbines ◽  
Detection System ◽  
Data Driven ◽  
Robust Fault Detection
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