Fault Diagnosis in a Nonlinear Three-Tank System via ANFIS

被引：0

作者：

Ucak, Kemal ^{[1
]}

Caliskan, Fikret ^{[1
]}

Oke, Gulay ^{[1
]}

机构：

[1] Istanbul Tech Univ, Dept Control Engn, TR-80626 Istanbul, Turkey

来源：

2013 8TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO) | 2013年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：566 / 570

页数：5

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