Evaluation of Anomaly Detection of an Autoencoder Based on Maintenace Information and Scada-Data

Evaluation of Anomaly Detection of an Autoencoder Based on Maintenace Information and Scada-Data

The usage of machine learning techniques is widely spread and has also been implemented in the wind industry in the last years. Many of these techniques have shown great success but need to constantly prove the expectation of functionality. This paper describes a new method to monitor the health of...

Full description

Bibliographic Details
Main Authors: Marc-Alexander Lutz, Stephan Vogt, Volker Berkhout, Stefan Faulstich, Steffen Dienst, Urs Steinmetz, Christian Gück, Andres Ortega
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Energies
Subjects:
wind turbine
maintenance
autoencoder
machine learning
reliability
data driven model
service
performance
Online Access:https://www.mdpi.com/1996-1073/13/5/1063

Internet

https://www.mdpi.com/1996-1073/13/5/1063

Similar Items