Application of fuzzy logic based methods of residual evaluation to the three tank benchmark

Author

Dalton, T. ; Kremer, N. ; Frank, P.M.

Author_Institution

Dept. of Meas. & Control, Gerhard-Mercator Univ. of Duisburg, Duisburg, Germany

fYear

1999

fDate

Aug. 31 1999-Sept. 3 1999

Firstpage

4462

Lastpage

4467

Abstract

This paper describes the application of fuzzy logic to the analysis of residuals generated using an observer scheme for the three tank benchmark. Two methods of residual analysis are investigated; fuzzy inference (i.e. rule based) and fuzzy clustering. The aim of both of the schemes is to simplify the task of the operator in determining the state of the plant (and any necessary action) by improving the presentation of the fault /no-fault information. Simulation results are presented for the three tank benchmark, and the two methods compared as to their effectiveness for residual evaluation in terms of isolation ability and ease of design.

Keywords

fault diagnosis; fuzzy logic; fuzzy reasoning; mechanical engineering computing; pattern clustering; tanks (containers); fault presentation; fuzzy clustering; fuzzy inference; fuzzy logic method; no-fault information; observer scheme; residual analysis; three tank benchmark; Benchmark testing; Clustering algorithms; Cognition; Fault detection; Fuzzy logic; Fuzzy reasoning; Valves; 3 tank benchmark; Fault detection and isolation; fuzzy clustering; fuzzy inference; residual analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1999 European

Conference_Location

Karlsruhe

Print_ISBN

978-3-9524173-5-5

Type

conf

Filename

7100037