Fault diagnosis in a nonlinear three-tank system via ANFIS

Kemal Uçak, F. Caliskan, Gulay Oke
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引用次数: 2

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.
通过 ANFIS 对非线性三油箱系统进行故障诊断
本文采用了两种智能方法,即人工神经网络(ANN)和自适应神经模糊推理系统(ANFIS),来诊断非线性三油箱系统中的泄漏故障。故障诊断采用了两种不同的结构。一个是识别工厂的动态,另一个是构建残差逻辑机制。通过对三油箱系统(TTS)进行模拟,对所提出方法的性能进行了评估。储罐中的泄漏被视为储罐系统中的故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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