Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach

Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach

To monitor wind turbine vibrations, normal behaviour models are built to predict tower top accelerations and drive-train vibrations. Signal deviations from model prediction are labelled as anomalies and are further investigated. In this paper we assess a stochastic approach to reconstruct the 1 Hz t...

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Bibliographic Details
Main Authors: Pedro G. Lind, Luis Vera-Tudela, Matthias Wächter, Martin Kühn, Joachim Peinke
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Energies
Subjects:
wind turbine
tower acceleration
condition monitoring
signal reconstruction
neural networks
stochastic modelling
Online Access:https://www.mdpi.com/1996-1073/10/12/1944

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