A Parameter Selection Method for Wind Turbine Health Management through SCADA Data

A Parameter Selection Method for Wind Turbine Health Management through SCADA Data

Wind turbine anomaly or failure detection using machine learning techniques through supervisory control and data acquisition (SCADA) system is drawing wide attention from academic and industry While parameter selection is important for modelling a wind turbine’s condition, only a few papers have bee...

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Bibliographic Details
Main Authors: Mian Du, Jun Yi, Peyman Mazidi, Lin Cheng, Jianbo Guo
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Energies
Subjects:
wind turbine
failure detection
SCADA data
feature extraction
mutual information
copula
Online Access:http://www.mdpi.com/1996-1073/10/2/253

Internet

http://www.mdpi.com/1996-1073/10/2/253

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