Robust fault detection and isolation of wind turbines using interval observers

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Title:	Robust fault detection and isolation of wind turbines using interval observers
Author:	Blesa Izquierdo, Joaquim; Nejjari Akhi-Elarab, Fatiha; Rotondo, Damiano; Puig Cayuela, Vicenç
Other authors:	Institut de Robòtica i Informàtica Industrial; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
Abstract:	In order to improve reliability and safety of wind turbines, it is important to detect and isolate faults as fast as possible. In this work, an approach based on interval observers is used for robust Fault Detection and Isolation (FDI) of wind turbines. Fault detection is addressed using interval observers and unknown but bounded descriptions of the noise and modeling errors, while fault isolation is based on a row-reasoning approach. The performance of the proposed robust FDI scheme is assessed using a set of fault scenarios considered in a wind turbine benchmark.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Energies::Energia eòlica::Aerogeneradors -Wind turbines -- Design and construction -Wind Turbines FDI -Aerogeneradors -- Disseny i construcció
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Submitted version Conference Object
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