DocumentCode
2168266
Title
Robust fault detection using interval LPV models
Author
Blesa, Joaquim ; Bolea, Yolanda ; Puig, Vicenc
Author_Institution
Autom. Control Dept., Tech. Univ. of Catalonia, Barcelona, Spain
fYear
2007
fDate
2-5 July 2007
Firstpage
1618
Lastpage
1625
Abstract
In this paper, robust fault detection using a passive robust approach interval based on generating an adaptive threshold for interval linear parameter varying (LPV) models is proposed. This approach allows to consider parameters and associated uncertainty intervals of such model dependence on the operating point. Additionally, a parameter estimation algorithm for interval LPV models is presented. Finally, an piece of a sewer system has been used to test the validity of the proposed approach.
Keywords
fault diagnosis; linear parameter varying systems; parameter estimation; adaptive threshold; interval LPV models; interval linear parameter varying models; parameter estimation algorithm; passive robust approach interval; robust fault detection; sewer system; uncertainty intervals; Adaptation models; Computational modeling; Fault detection; Logic gates; Mathematical model; Robustness; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2007 European
Conference_Location
Kos
Print_ISBN
978-3-9524173-8-6
Type
conf
Filename
7068814
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