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

Author
Pozo, F.; Vidal, Y.; Serrahima, J.M.
Type of activity
Journal article
Journal
Energies
Date of publication
2016-07-05
Volume
9
First page
1
Last page
22
DOI
https://doi.org/10.3390/en9070520 Open in new window
Project funding
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
Repository
http://hdl.handle.net/2117/91468 Open in new window
http://www.mdpi.com/1996-1073/9/7/520 Open in new window
URL
http://www.mdpi.com/journal/energies Open in new window
Abstract
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...
Citation
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.
Keywords
FAST, fault detection, hypothesis test, principal component analysis, sensor selection
Group of research
CoDAlab - Control, Dynamics and Applications

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