Application of a model based fault isolation method for nonlinear dynamic systems

The goal in many fault isolation schemes is to decrease the isolation and identification time. The mathematical model of the physical system is the information available before hand. This paper presents the application of a nonlinear model based adaptive observer design to help in the isolation of f...

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Bibliographic Details
Published in2009 IEEE Conference on Emerging Technologies & Factory Automation pp. 1 - 6
Main Authors Fragkoulis, Dimitrios, Li, Zetao, Roux, Gilles, Dahhou, Boutaib
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2009
Subjects
Automation
Control systems
Educational institutions
Fault detection
Fault diagnosis
Fault tolerant systems
Filters
Nonlinear dynamical systems
Nonlinear systems
Parameter estimation
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Summary:The goal in many fault isolation schemes is to decrease the isolation and identification time. The mathematical model of the physical system is the information available before hand. This paper presents the application of a nonlinear model based adaptive observer design to help in the isolation of faults in parameters of nonlinear dynamic systems. The method uses parameter partition and it fits many kinds of nonlinear dynamic systems. One important assumption is the monotonicity of the nonlinear function. The simulations results of an alcoholic fermentation model are used to demonstrate the method validity.
ISBN:9781424427277
1424427274
ISSN:1946-0740
1946-0759
DOI:10.1109/ETFA.2009.5347046