A new fault-detection system for nonlinear systems based on an interval fuzzy model

Author

Oblak, Simon ; Skrjanc, Igor ; Blazic, Saso

Author_Institution

Fac. of Electr. Eng., Univ. of Ljubljana, Ljubljana, Slovenia

fYear

2007

fDate

2-5 July 2007

Firstpage

2956

Lastpage

2962

Abstract

The paper proposes a new fault-detection scheme for nonlinear input-output systems with uncertain interval-type parameters. Using a high-pass filter for detecting the system´s steady-state conditions, one is able to build a confidence band of data for the system in normal operating mode. The band can be seen as an approximation of the system´s nonlinear input-output mapping including the effects of uncertainties. By approximating the boundary functions of the band using an interval fuzzy model (INFUMO), we are able to build a simple and effective fault-detection system based on the boundary-crossing test and logical relations. An example of a fault-detection system for a pH neutralization process is presented to demonstrate the benefits of the proposed method.

Keywords

fault diagnosis; fuzzy set theory; fuzzy systems; high-pass filters; nonlinear systems; pH control; INFUMO; boundary functions; boundary-crossing test; data confidence band; fault-detection scheme; fault-detection system; high-pass filter; interval fuzzy model; logical relations; nonlinear input-output system; nonlinear systems; pH neutralization process; system nonlinear input-output mapping; system normal operating mode; system steady-state condition detection; uncertain interval-type parameters; Approximation methods; Estimation; Fault detection; Steady-state; Transient analysis; Uncertainty; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 2007 European

Conference_Location

Kos

Print_ISBN

978-3-9524173-8-6

Type

conf

Filename

7068930