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Fault diagnosis of wind turbines using a set-membership approach

Author
Blesa, J.; Puig, V.; Romera, J.; Saludes, J.
Type of activity
Presentation of work at congresses
Name of edition
18th World Congress of the International Federation of Automatic Control
Date of publication
2011
Presentation's date
2011-09-02
Book of congress proceedings
Proceedings of the 18th IFAC World Congress
First page
8316
Last page
8321
Repository
http://hdl.handle.net/2117/13988 Open in new window
Abstract
In this paper, the problem of fault diagnosis in wind turbines will be addressed applying a setmembership approach. Fault detection is based on the use of parity equations and unknown but bound description of the noise and modelling errors. Fault detection test is based on checking consistency between measurements and the model by finding if there is parameter in the feasible parameter set (approximated by a zonotope) that is compatible with modelling and noise bounds. The fault isolation algori...
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants