An application of fuzzy neural network in the fault intelligent diagnosis

被引：0

作者：

Huang, KL ^{[1
]}

Lian, GY ^{[1
]}

Peng, ST ^{[1
]}

Wei, ZL ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Coll Power Engn, Nanjing 210094, Peoples R China

来源：

ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3 | 2003年

关键词：

fuzzy theory; neural network; intelligent;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

On the basis of fault diagnosis theory and method, this paper synthetically uses the artificial intelligence, fuzzy theory and neural network theory to study the fault intelligent diagnosis problem of the electronic equipment of missile weapon system, the basic structure and working principle of the fault intelligent diagnosis system are introduced, the model of fuzzy fault diagnosis and the self-study principle are described. The practice proves that this is an effective method and a new approach of the fault diagnosis of the large complicated electronic equipment.

引用

页码：1053 / 1056

页数：4

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