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Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

Authors: Pujol Vázquez, Gisela; Acho Zuppa, Leonardo; Gibergans Bàguena, José;

Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

Abstract

A fault detection innovation to wind turbines’ pitch actuators is an important subject to guarantee the efficiency wind energy conversion and long lifetime operation of these rotatory machines. Therefore, a recent and effective fault detection algorithm is conceived to detect faults on wind turbine pitch actuators. This approach is based on the interval observer framework theory that has proved to be an efficient tool to measure dynamic uncertainties in dynamical systems. It is evident that almost any fault in any actuator may affect its historical-time behavior. Hence, and properly conceptualized, a fault detection system can be successfully designed based on interval observer dynamics. This is precisely our main contribution. Additionally, we realize a numerical analysis to evaluate the performance of our approach by using a dynamic model of a pitch actuator device with faults. The numerical experiments support our main contribution.

Country
Spain
Keywords

interval observer, Technology, Aerogeneradors, wind turbines, Wind turbines, Algorismes computacionals, Pitch actuator, Àrees temàtiques de la UPC::Matemàtiques i estadística, T, Interval observer, :Matemàtiques i estadística [Àrees temàtiques de la UPC], fault detection; interval observer; pitch actuator; wind turbines, Computer algorithms, fault detection, pitch actuator, Tolerància als errors (Enginyeria), Fault tolerance (Engineering), Fault detection

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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14
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