DocumentCode
3127119
Title
A LMI approach for designing robust FDI filters with guaranteed fault sensitivity performance
Author
Castang, F. ; Zolghadri, A. ; Henry, D. ; Monsion, M.
Author_Institution
Lab. d´´Automatique et Productique, Bordeaux I Univ., Talence, France
Volume
7
fYear
2002
fDate
6-9 Oct. 2002
Abstract
The problem of designing fault detection and isolation (FDI) filters is considered. The approach provides new techniques for designing filters that maximize fault sensitivity (effects of faults on the residual signal), while guaranteeing robustness to noise, disturbances and modeling errors. The design of the FDI filters is formulated in terms of linear matrix inequalities (LMIs) and involves the generalized structured singular value μg.
Keywords
fault diagnosis; filtering theory; linear matrix inequalities; singular value decomposition; LMI approach; fault detection; fault location; generalized structured singular value; guaranteed fault sensitivity performance; linear matrix inequalities; robust FDI filters; Algorithm design and analysis; Fault detection; Filters; Frequency; Genetic algorithms; Performance evaluation; Robustness; Semiconductor films; Signal design; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-7437-1
Type
conf
DOI
10.1109/ICSMC.2002.1175748
Filename
1175748
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