Fault diagnosis in a nonlinear three-tank system via ANFIS

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2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationELECO 2013 - 8th International Conference on Electrical and Electronics Engineering
PublisherIEEE Computer Society
Pages566-570
Number of pages5
ISBN (Print)9786050105049
DOIs
Publication statusPublished - 2013
Event8th International Conference on Electrical and Electronics Engineering, ELECO 2013 - Bursa, Turkey
Duration: 28 Nov 201330 Nov 2013

Publication series

NameELECO 2013 - 8th International Conference on Electrical and Electronics Engineering

Conference

Conference8th International Conference on Electrical and Electronics Engineering, ELECO 2013
Country/TerritoryTurkey
CityBursa
Period28/11/1330/11/13

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