Evaluation of anomaly detection of an autoencoder based on maintenace information and scada-data

HIGHLIGHTS

• who: Marc-Alexander Lutz et al. from the Fraunhofer Institute for Energy Economics and Energy System Technology, Königstor, Kassel, Kassel, Germany have published the article: Evaluation of Anomaly Detection of an Autoencoder Based on Maintenace Information and Scada-Data, in the Journal: (JOURNAL)
• what: Energies 2020, 13, 1063; 2 of 18 With the model developed, a deviation from normal behavior can be considered as an anomaly. A time window of seven days is chosen out of the following reasons: First, after performing maintenance actions at the WT it is regularly seen that some parameters . . .
  

   

  

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