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On real-time fault detection in wind turbines: Sensor selection algorithm and detection time reduction analysis

Autor
Pozo, F.; Vidal, Y.; Serrahima, J.M.
Tipus d'activitat
Article en revista
Revista
Energies
Data de publicació
2016-07-05
Volum
9
Pàgina inicial
1
Pàgina final
22
DOI
https://doi.org/10.3390/en9070520 Obrir en finestra nova
Projecte finançador
Control, dinàmica i aplicacions
DPI2014-58427-C2-1-R, Desarrollo y validación de sistemas de detección de fallos y diseño de estrategias de control tolerante a fallos con aplicación a plantas de energía eólica offshore
Repositori
http://hdl.handle.net/2117/91468 Obrir en finestra nova
http://www.mdpi.com/1996-1073/9/7/520 Obrir en finestra nova
URL
http://www.mdpi.com/journal/energies Obrir en finestra nova
Resum
In this paper, we address the problem of real-time fault detection in wind turbines. Starting from a data-driven fault detection method, the contribution of this paper is twofold. First, a sensor selection algorithm is proposed with the goal to reduce the computational effort of the fault detection method. Second, an analysis is performed to reduce the data acquisition time needed by the fault detection method, that is, with the goal of reducing the fault detection time. The proposed methods are...
Citació
Pozo, F., Vidal, Y., Serrahima, J.M. On real-time fault detection in wind turbines: Sensor selection algorithm and detection time reduction analysis. "Energies", 5 Juliol 2016, vol. 9, p. 1-22.
Paraules clau
FAST, fault detection, hypothesis test, principal component analysis, sensor selection
Grup de recerca
CoDAlab - Control, Modelització, Identificació i Aplicacions

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