Wind turbine anomaly detection using mahalanobis distance and scada alarm data

HIGHLIGHTS

• who: Jui-Hung Liu et al. from the Department of Mechanical Engineering, Southern Taiwan University of Science and Technology have published the Article: Wind Turbine Anomaly Detection Using Mahalanobis Distance and SCADA Alarm Data, in the Journal: (JOURNAL) of 19/Nov/2019
• what: In this paper, the aim is to use SCADA data and the Mahalanobis distance approach as the primary method of detecting anomalies. The aim of this study is to incorporate the use of operational SCADA data into the anomaly detection feature of a condition monitoring system. In this study, anomalies detected by . . .
  

   

  

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