Fault diagnosis in a nonlinear three-tank system via ANFIS

Author

Ucak, Kemal ; Caliskan, Fikret ; Oke, Gulay

Author_Institution

Dept. of Control Eng., Istanbul Tech. Univ., Istanbul, Turkey

fYear

2013

fDate

28-30 Nov. 2013

Firstpage

566

Lastpage

570

Abstract

In this paper, two intelligent methods namely Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS), are implemented to diagnose the leakage faults in a nonlinear three tank system. Two separate structures are utilized for fault diagnosis. One is to identify the dynamics of the plant and the other is to construct the residual logic mechanism. The performance of the proposed methods are evaluated by simulations carried out on a three tank system (TTS). The leakages in tanks are considered as faults in the tank system.

Keywords

fault diagnosis; fuzzy neural nets; fuzzy reasoning; mechanical engineering computing; nonlinear systems; tanks (containers); ANFIS; adaptive neuro fuzzy inference systems; artificial neural network; intelligent method; leakage fault diagnosis; nonlinear three tank system; plant dynamics; residual logic mechanism; Artificial intelligence; Artificial neural networks; Fault detection; Fault diagnosis; Mathematical model; Nonlinear dynamical systems; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on

Conference_Location

Bursa

Print_ISBN

978-605-01-0504-9

Type

conf

DOI

10.1109/ELECO.2013.6713910

Filename

6713910