Comparison of New Anomaly Detection Technique for Wind Turbine Condition Monitoring Using Gearbox SCADA Data

Comparison of New Anomaly Detection Technique for Wind Turbine Condition Monitoring Using Gearbox SCADA Data

Anomaly detection for wind turbine condition monitoring is an active area of research within the wind energy operations and maintenance (O & M) community. In this paper three models were compared for multi-megawatt operational wind turbine SCADA data. The models used for comparison were One-Clas...

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Bibliographic Details
Main Authors: Conor McKinnon, James Carroll, Alasdair McDonald, Sofia Koukoura, David Infield, Conaill Soraghan
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Energies
Subjects:
anomaly detection
gearbox
SCADA
condition monitoring
Isolation Forest
One Class Support Vector Machine
Online Access:https://www.mdpi.com/1996-1073/13/19/5152

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https://www.mdpi.com/1996-1073/13/19/5152

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