Expert system of fault diagnosis based on the neural network and regulations

被引：0

作者：

Cheng, S ^{[1
]}

Gao, QH ^{[1
]}

Yu, JJ ^{[1
]}

机构：

[1] Second Artillery Engn Coll, Teaching & Res Sect 204, Xian, Shannxi, Peoples R China

来源：

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年

关键词：

fault diagnosis; neural network; expert system;

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：

After pointing out the limitations of expert system and neural network respectively, this article gives a model of fault diagnostic expert system which unites mural network and production rules. It also improves the BP neural network model and gets a global optimum algorithm that improves the ability of network Practical application proves that this method can solve the fault diagnostic problem of the multi-fault and multi-procedure complicated mechanical device.

引用

页码：327 / 329

页数：3

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