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Fault diagnosis of an advanced wind turbine benchmark using interval-based ARRs and observers

Autor
Sanchez, H.; Escobet, T.; Puig, V.; Fogh, P.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on industrial electronics
Data de publicació
2015-06-01
Volum
62
Número
6
Pàgina inicial
3783
Pàgina final
3793
DOI
https://doi.org/10.1109/TIE.2015.2399401 Obrir en finestra nova
Projecte finançador
SYSTEM HEALTH MANAGEMENT AND RELIABLE CONTROL OF COMPLEX SYSTEMS
Repositori
http://hdl.handle.net/2117/83885 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7031877 Obrir en finestra nova
Resum
This paper proposes a model-based fault diagnosis (FD) approach for wind turbines and its application to a realistic wind turbine FD benchmark. The proposed FD approach combines the use of analytical redundancy relations (ARRs) and interval observers. Interval observers consider an unknown but bounded description of the model parametric uncertainty and noise using the the so-called set-membership approach. This approach leads to formulate the fault detection test by means of checking if the meas...
Citació
Sanchez, H., Escobet, T., Puig, V., Fogh, P. Fault diagnosis of an advanced wind turbine benchmark using interval-based ARRs and observers. "IEEE transactions on industrial electronics", 01 Juny 2015, vol. 62, núm. 6, p. 3783-3793.
Paraules clau
Analytical redundancy relations (ARRs), IDENTIFICATION, MACHINE, MODEL, SYSTEMS, TOLERANT CONTROL, interval-based observers, model-based fault diagnosis (FD), wind turbines
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control
SIC - Sistemes Intel·ligents de Control

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