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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Detalles Bibliográficos

Principais autores:	Pedro G. Lind, Luis Vera-Tudela, Matthias Wächter, Martin Kühn, Joachim Peinke
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2017-11-01
Series:	Energies
Assuntos:	wind turbine tower acceleration condition monitoring signal reconstruction neural networks stochastic modelling
Acceso en liña:	https://www.mdpi.com/1996-1073/10/12/1944
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