A Robust Prescriptive Framework and Performance Metric for Diagnosing and Predicting Wind Turbine Faults Based on SCADA and Alarms Data with Case Study

Using 10-minute wind turbine supervisory control and data acquisition (SCADA) system data to predict faults can be an attractive way of working toward a predictive maintenance strategy without needing to invest in extra hardware. Classification methods have been shown to be effective in this regard,...

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Principais autores:	Kevin Leahy, Colm Gallagher, Peter O’Donovan, Ken Bruton, Dominic T. J. O’Sullivan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2018-07-01
coleção:	Energies
Assuntos:	wind turbines scada data fault prognostics machine learning random forests
Acesso em linha:	http://www.mdpi.com/1996-1073/11/7/1738
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