Neural network application to diagnostics of pneumatic servo-motor actuated control valve

Author

Korablev, Yu.A. ; Logutova, N.A. ; Shestopalov, M.Yu.

Author_Institution

LETI, St. Petersburg Electrotech. Univ., St. Petersburg, Russia

fYear

2015

fDate

19-21 May 2015

Firstpage

42

Lastpage

46

Abstract

This paper presents an approach for development of a diagnostic system on the base of ANFIS networks for creation of reference models of pneumatic servo-motor actuated control valve in the mode without faults. Detection, localization and identification of faults is carried out on the basis of the analysis of extreme values of residuals. The idea of this approach is illustrated on a practical example of the diagnostic task solution for benchmark model of pneumatic servo-motor actuated control valve developed by the European university project DAMADIC´S in MATLAB/SIMULINK.

Keywords

control engineering computing; mathematics computing; neural nets; pneumatic control equipment; servomechanisms; valves; ANFIS networks; DAMADIC; European university project; Matlab; Simulink; diagnostic system; neural network application; pneumatic servo-motor actuated control valve; Actuators; Benchmark testing; Fault diagnosis; Mathematical model; Software packages; Transducers; Valves; ANFIS network; DAMADIC´S; Simulink; benchmark model of the pneumatic servo-motor actuated control valve; diagnostic system; faults detection; isolation and identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing and Measurements (SCM), 2015 XVIII International Conference on

Conference_Location

St. Petersburg

Print_ISBN

978-1-4673-6960-2

Type

conf

DOI

10.1109/SCM.2015.7190406

Filename

7190406