Fault Diagnosis of a Wind Farm using Interval Parity Equations

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.contributor	Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.author	Blesa Izquierdo, Joaquim
dc.contributor.author	Jiménez, P.
dc.contributor.author	Rotondo, Damiano
dc.contributor.author	Nejjari Akhi-Elarab, Fatiha
dc.contributor.author	Puig Cayuela, Vicenç
dc.date	2014
dc.identifier.citation	Blesa, J. [et al.]. Fault Diagnosis of a Wind Farm using Interval Parity Equations. A: World Congress of the International Federation of Automatic Control. "Preprints of the 19th World Congress of The International Federation of Automatic Control, Cape Town, South Africa. August 24-29, 2014". Cape Town: 2014, p. 4322-4327.
dc.identifier.uri	http://hdl.handle.net/2117/24352
dc.language.iso	eng
dc.relation	info:eu-repo/grantAgreement/EC/FP7/270428/EU/Making Sense of Nonsense/ISENSE
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject	Automation
dc.subject	Wind power
dc.subject	Fault Diagnosis
dc.subject	Wind farm
dc.subject	Interval parity Equations
dc.subject	Automatització
dc.subject	Energia eòlica
dc.title	Fault Diagnosis of a Wind Farm using Interval Parity Equations
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Segon Premi a la "Competition on Wind Farm Fault Accomodation", atorgat per l'Aalborg University, al 19th. World Congress of the International Federation of Automatic Control
dc.description.abstract	In this paper, the problem of fault diagnosis of a wind farm is addressed using interval parity equations. Fault detection is based on the use of parity equations and unknown but bounded description of the noise and modeling errors. The fault detection test is based on checking the consistency between the measurements and the model by finding if the formers are inside the interval prediction bounds. The fault isolation algorithm is based on analyzing the observed fault signatures on-line, and matching them with the theoretical ones obtained using structural analysis. Finally, the proposed approach is tested using the wind farm benchmark proposed in the context of the wind farm FDI/FTC competition.
dc.description.abstract	Peer Reviewed
dc.description.abstract	Award-winning

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