Research upon Fault Diagnosis Expert System Based on Fuzzy Neural Network

被引：2
|
作者：
Yang Kun [1 ]
OuYang Guangyao [1 ]
Ye Lina [2 ]
机构：
[1] Naval Univ Engn, Power Engn Dept, Wuhan, Peoples R China
[2] Wuhan Inst Shipbldg Technol, Dept Elect & Elect Engn, Wuhan, Peoples R China
来源：
2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL I | 2009年
关键词：
artificial neural network; fizzy theory; expert system; fault diagnosis; simulation;
D O I：
10.1109/ICIE.2009.136
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The traditional Expert System has many shortcomings, for instance, its weak knowledge acquisition capability and empirical knowledge's expression uncertainty. To solve these bottleneck problems, A strategy on fault diagnosis expert system which is based upon fuzzy theory and ANN(ANN:artificial neural network) technique is put forward in this paper, as also its principle, construction, algorithm are all presented. Its performance has been proved to be very excellent when used upon the diesel fuel system classified fault diagnosis.
引用
收藏
页码：410 / +
页数：2
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