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Nonlinear set-membership identification and fault detection using a Bayesian framework: appllication to the wind turbine benchmark

Autor
Rosa M. Fernandez-Canti; Tornil-Sin, S.; Blesa, J.; Puig, V.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
2013 IEEE 52nd Annual Conference on Decision and Control
Any de l'edició
2013
Data de presentació
2013-12-10
Llibre d'actes
Proceedings of the 2013 IEEE 52nd Annual Conference on Decision and Control: CDC 2013: December 10-13, 2013: Florence, Italy
Pàgina inicial
496
Pàgina final
501
Editor
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/CDC.2013.6759930 Obrir en finestra nova
Projecte finançador
MAKING SENSE OF NONSENSE
SHERECS (DPI2011-26243)
Repositori
http://hdl.handle.net/2117/22319 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6759930 Obrir en finestra nova
Resum
This paper deals with the problem of nonlinear set-membership identification and fault detection using a Bayesian framework. The paper presents how the set-membership model estimation can be reformulated from a Bayesian viewpoint in order to determine the feasible parameter set and, in a posterior fault detection stage, to check the consistency between the model and the data. The paper shows that the Bayesian approach, assuming uniform distributed measurement noise and flat model prior probabili...
Citació
Fernández-Cantí, R. M. [et al.]. Nonlinear set-membership identification and fault detection using a Bayesian framework: appllication to the wind turbine benchmark. A: IEEE Conference on Decision and Control. "Proceedings of the 2013 IEEE 52nd Annual Conference on Decision and Control: CDC 2013: December 10-13, 2013: Florence, Italy". Florència: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 496-501.
Paraules clau
Fault detection, Nonlinear set-membership identification, Wind turbine
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control
SIC - Sistemes Intel·ligents de Control

Participants