Wind Turbine Gearbox Condition Monitoring Based on Class of Support Vector Regression Models and Residual Analysis

Wind Turbine Gearbox Condition Monitoring Based on Class of Support Vector Regression Models and Residual Analysis

The intelligent condition monitoring of wind turbines reduces their downtime and increases reliability. In this manuscript, a feature selection-based methodology that essentially works on regression models is used for identifying faulty scenarios. Supervisory control and data acquisition (SCADA) dat...

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Bibliographic Details
Main Authors: Harsh S. Dhiman, Dipankar Deb, James Carroll, Vlad Muresan, Mihaela-Ligia Unguresan
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
condition monitoring
wind turbines
support vector regression
SCADA
neural network
neighborhood component analysis
Online Access:https://www.mdpi.com/1424-8220/20/23/6742

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