Simultaneous Fault Detection and Sensor Selection for Condition Monitoring of Wind Turbines

Simultaneous Fault Detection and Sensor Selection for Condition Monitoring of Wind Turbines

Data collected from the supervisory control and data acquisition (SCADA) system are used widely in wind farms to obtain operation and performance information about wind turbines. The paper presents a three-way model by means of parallel factor analysis (PARAFAC) for wind turbine fault detection and...

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Bibliographic Details
Main Authors: Wenna Zhang, Xiandong Ma
Format: Article
Language:English
Published: MDPI AG 2016-04-01
Series:Energies
Subjects:
wind turbines
supervisory control and data acquisition (SCADA) data
parallel factor analysis (PARAFAC)
K-means clustering
condition monitoring
Online Access:http://www.mdpi.com/1996-1073/9/4/280

Internet

http://www.mdpi.com/1996-1073/9/4/280

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