Machine learning on fault diagnosis in wind turbines

Machine learning on fault diagnosis in wind turbines

With the improvement of wind turbine (WT) operation and maintenance (O&M) technologies and the rise of O&M cost, the fault diagnostic in WT based on supervisory control and data acquisition (SCADA) system has become one of the cheapest and easiest method to detect early alarm of fault in WT....

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Bibliographic Details
Main Authors: Ng, Eddie Yin Kwee, Lim, Jian Tiong
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Materials
Machine Learning
Artificial Neural Network
Python
Extreme Gradient Boosting
K-Nearest Neighbours
Online Access:https://hdl.handle.net/10356/163954

Internet

https://hdl.handle.net/10356/163954

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