Authors:
Ryadh H. Mokhneche
;
Hichem Maaref
and
Vincent Vigneron
Affiliation:
Laboratoire Systèmes Complexes, Université d’Evry - CNRS FRE2494, France
Keyword(s):
Estimation, Detection, Compensation, non-stationary system.
Related
Ontology
Subjects/Areas/Topics:
Business Analytics
;
Change Detection
;
Data Engineering
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Intelligent Fault Detection and Identification
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
The nonstationary systems parametric estimate requires the continuation of its parameters which vary abruptly at unknown random moments. These are the abrupt parametric variations which were considered in this work to be managed like ”faults”. The considered signals here are nonstationary and are characterized by time variable parameters. The estimate of these parameters requires the choice of an algorithm having the capacity to continue their evolution. The various hybrid adaptive estimate methods showed that these capacities can be reached by a compensation of a gain and its update in online. In this paper, a method of estimate is proposed, based on the fault detection. The general algorithm implemented gives place to several methods which will be detailed. Experimental tests of some methods on a second order autoregressive synthesis signal are carried out and then commented.