Study of Fuzzy Neural Networks Model for System Condition Monitoring of AUV

被引：0
|
作者：
WANG Yu-jia
机构：
来源：
JournalofMarineScienceandApplication | 2002年 / 02期
关键词：
fuzzy neural network; condition monitoring; autonomous underwater vehicle;
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A structure equivalent model of fuzzy-neural networks for system condition monitoring is proposed, whose outputs are the condition or the degree of fault occurring in some parts of the system. This network is composed of six layers of neurons, which represent the membership functions, fuzzy rules and outputs respectively. The structure parameters and weights are obtained by processing off-line learning, and the fuzzy rules are derived from the experience. The results of the computer simulation for the autonomous underwater vehicle condition monitoring based on this fuzzy-neural networks show that the network is efficient and feasible in gaining the condition information or the degree of fault of the two main propellers.
引用
收藏
页码：42 / 45
页数：4
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