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An LPV modelling and fault diagnosis in wind turbine benchmark system

Autor
Chouiref, H.; Boussaid, B.; Abdelkrim, M.; Puig, V.; Aubrun, C.
Tipus d'activitat
Article en revista
Revista
International journal of modeling, identification and control
Data de publicació
2017-07-01
Volum
27
Número
4
Pàgina inicial
243
Pàgina final
255
DOI
https://doi.org/10.1504/IJMIC.2017.084718 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/115909 Obrir en finestra nova
URL
http://www.inderscience.com/offer.php?id=84718 Obrir en finestra nova
Resum
In order to keep away wind turbines from catastrophic conditions due to sudden breakdowns, it is important to detect faults as soon as possible. For diagnosis, a model-based approach is chosen. There are many works that use this fault detection design, but the majority of them consider this system as a linear time invariant (LTI) model. The objective of this paper is, first, to find an LPV model of the system using the subspace identification technique of linear parameter-varying (LPV). Second, ...
Citació
Chouiref, H., Boussaid, B., Abdelkrim, M., Puig, V., Aubrun, C. An LPV modelling and fault diagnosis in wind turbine benchmark system. "International journal of modeling, identification and control", 1 Juliol 2017, vol. 27, núm. 4, p. 243-255.
Paraules clau
LPV modelling, model-based fault diagnosis, residue subspace identification, wind turbine
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants

  • Chouiref, Houda  (autor)
  • Boussaid, B.  (autor)
  • Abdelkrim, Mohamed Naceur  (autor)
  • Puig Cayuela, Vicenç  (autor)
  • Aubrun, C  (autor)