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Robust fault detection and isolation of wind turbines using interval observers

Author
Blesa, J.; Nejjari, F.; Rotondo, D.; Puig, V.
Type of activity
Presentation of work at congresses
Name of edition
2nd International Conference on Control and Fault-Tolerant Systems
Date of publication
2013
Presentation's date
2013-10-10
Book of congress proceedings
Systol 2013: 2nd International Conference on Control and Fault-Tolerant Systems: final program & book of abstracts: October 9-11, 2013: Hotel Le Negresco, Nice, France
First page
353
Last page
358
DOI
https://doi.org/10.1109/SysTol.2013.6693854 Open in new window
Project funding
MAKING SENSE OF NONSENSE
SHERECS (DPI2011-26243)
Repository
http://hdl.handle.net/2117/23483 Open in new window
URL
http://dx.doi.org/10.1109/SysTol.2013.6693854 Open in new window
Abstract
In order to improve reliability and safety of wind turbines, it is important to detect and isolate faults as fast as possible. In this work, an approach based on interval observers is used for robust Fault Detection and Isolation (FDI) of wind turbines. Fault detection is addressed using interval observers and unknown but bounded descriptions of the noise and modeling errors, while fault isolation is based on a row-reasoning approach. The performance of the proposed robust FDI scheme is assessed...
Citation
Blesa, J. [et al.]. Robust fault detection and isolation of wind turbines using interval observers. A: International Conference on Control and Fault-Tolerant Systems. "Systol 2013: 2nd International Conference on Control and Fault-Tolerant Systems: final program & book of abstracts: October 9-11, 2013: Hotel Le Negresco, Nice, France". Niça: 2013, p. 353-358.
Keywords
Wind Turbines FDI
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

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