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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Prince Waqas Khan, Yung-Cheol Byun
Format: Artykuł
Język:English
Wydane: MDPI AG 2022-09-01
Seria:Sensors
Hasła przedmiotowe:
wind turbines
fault detection
stacking ensemble classifier
AdaBoost
K-nearest neighbors
logistic regression
Dostęp online:https://www.mdpi.com/1424-8220/22/18/6955

Internet

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

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