Authors:
Ryadh Hadj Mokhneche
and
Hichem Maaref
Affiliation:
Laboratoire Systèmes Complexes, Université d’Evry - CNRS FRE2494, France
Keyword(s):
Fault Characterization, Observer, Multi-Fault Detection, Fault isolation, Time varying systems.
Related
Ontology
Subjects/Areas/Topics:
Business Analytics
;
Change Detection
;
Data Engineering
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
Useful fault information, such as the amplitude and the sign, occurring during a time variable dynamic process are of capital importance to proceed correctly to fault compensation. The existing observers in literature, providing residues signals containing information on the presence or not of faults, do not take into account all of the faults when those occur at very close moments, which leads to an incorrect eventual compensation. This consideration is very significant for a correct dynamic control.
In this paper, the characterization of the fault form in the time varying dynamic systems based on observers is proceeded to consider the detection of several faults some is their incidence moment and to take into account their amplitudes. The study of the several faults succession at the same moment or different moments, and of its consequences, is detailed. It is highlighted then the contribution of this characterization to fault detection and resolution where the interest to exploit
these resolution in precise fault detection is shown.
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