A hierarchical fuzzy neural network approach for multiple fault diagnosis

被引：0
|
作者：
Calado, JMF
da Costa, JMGS
机构：
来源：
UKACC INTERNATIONAL CONFERENCE ON CONTROL '98, VOLS I&II | 1998年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A hierarchical structure of fuzzy neural networks for multiple abrupt and incipient fault diagnosis, is presented. It is discussed how to train the fuzzy neural network with single fault symptoms, in order to cope with diagnosis of multiple faults. The fuzzy neural network compresses the on-line measurement data and, hence, training effort is eased. A Continuous Binary Distillation Column is used as test bed of the overall system.
引用
收藏
页码：1498 / 1503
页数：6
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