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

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