Fault detection method of uncertain system using interval model

Author

Hamelin, F. ; Noura, H. ; Sauter, D.

Author_Institution

Centre de Rech. en Autom. de Nancy, Univ. Henri Poincare, Vandoeuvre-lès-Nancy, France

fYear

2001

fDate

4-7 Sept. 2001

Firstpage

826

Lastpage

831

Abstract

A new method for evaluating the effects of model uncertainties on a detection residual in a Fault Detection (FD) procedure is proposed in this paper. Structured uncertainties are considered in a discrete-time interval model of the system. They are characterised by means of input disturbances and the covariance matrix associated with the nominal model parameters. A global fault detection method is then developed. It consists in generating a detection residual by the generalisation of previous work established for continuous-time domain [6] and in deciding on the fault occurrence.

Keywords

covariance matrices; discrete time systems; fault diagnosis; uncertain systems; continuous-time domain; covariance matrix; detection residual; discrete-time interval model; fault detection method; fault occurrence; global fault detection method; input disturbances; interval model; model uncertainties; nominal model parameters; uncertain system; Adaptation models; Covariance matrices; Fault detection; Polynomials; Transfer functions; Uncertainty; Vectors; adaptive threshold; fault detection; interval model; model errors;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 2001 European

Conference_Location

Porto

Print_ISBN

978-3-9524173-6-2

Type

conf

Filename

7076013