Wind Turbine Anomaly Detection Based on SCADA Data Mining

Wind Turbine Anomaly Detection Based on SCADA Data Mining

In this paper, a wind turbine anomaly detection method based on a generalized feature extraction is proposed. Firstly, wind turbine (WT) attributes collected from the Supervisory Control And Data Acquisition (SCADA) system are clustered with k-means, and the Silhouette Coefficient (SC) is adopted to...

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Bibliographic Details
Main Authors: Xiaoyuan Liu, Senxiang Lu, Yan Ren, Zhenning Wu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Electronics
Subjects:
wind turbine
SCADA
k-means
t-SNE
feature extraction
anomaly detection
Online Access:https://www.mdpi.com/2079-9292/9/5/751

Internet

https://www.mdpi.com/2079-9292/9/5/751

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