Wavelet neural networks for fault diagnosis and prognosis

被引：8

作者：

Berenji, Hamid R. ^{[1
]}

Wang, Yan ^{[1
]}

机构：

[1] NASA, Intelligent Inference Syst Corp, Res Pk, Moffett Field, CA 94035 USA

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2006年

关键词：

D O I：

10.1109/FUZZY.2006.1681883

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Wavelet Neural Networks have been developed for fault diagnosis and prognosis with unique capabilities in addressing identification and classification problems. A fault diagnostic and prognostic system is presented by using Wavelet Neural Networks and Dynamic Wavelet Neural Networks. We used a Matlab Simulink model of a chiller system and applied the Wavelet Neural Network to detect and recover sensor errors. It has been shown that this method gains good performance in sensor fault diagnostics.

引用

页码：1334 / +

页数：2

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