Multi-Fault Detection and Classification of Wind Turbines Using Stacking Classifier

Multi-Fault Detection and Classification of Wind Turbines Using Stacking Classifier

Wind turbines are widely used worldwide to generate clean, renewable energy. The biggest issue with a wind turbine is reducing failures and downtime, which lowers costs associated with operations and maintenance. Wind turbines’ consistency and timely maintenance can enhance their performance and dep...

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Bibliographic Details
Main Authors: Prince Waqas Khan, Yung-Cheol Byun
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
wind turbines
fault detection
stacking ensemble classifier
AdaBoost
K-nearest neighbors
logistic regression
Online Access:https://www.mdpi.com/1424-8220/22/18/6955

Internet

https://www.mdpi.com/1424-8220/22/18/6955

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