Author/Authors :
P. M. Frank and X. Ding، نويسنده ,
DocumentNumber :
1384236
Title Of Article :
Survey of robust residual generation and evaluation methods in observer-based fault detection systems
شماره ركورد :
11563
Latin Abstract :
The paper outlines recent advances of the theory of observer-based fault diagnosis in dynamic systems towards the design of robust techniques of residual generation and residual evaluation. Emphasis will be placed upon the latest contributions using frequency domain techniques including Ho~ theory, nonlinear unknown input observer theory, adaptive observer theory, artificial intelligence including fuzzy logic, knowledge-based techniques and the natural intelligence of the human operator. Two representative examples illustrate the efficiency of the observer-based approach.
From Page :
403
NaturalLanguageKeyword :
Nonlinear observer , adaptive observer , observer-based fault detection , Fuzzy logic , Fault detection , Robustness , unknown input observer
JournalTitle :
Studia Iranica
To Page :
424
To Page :
424
Link To Document :
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