Synthetic intelligent fault diagnosis technology for complex process

被引：0
|
作者：
Liu, Xiaoying [1 ]
Gui, Weihua [1 ]
Wu, Min [1 ]
机构：
[1] Coll. of Info. Sci. and Eng., Central South Univ., Changsha 410083, China
来源：
High Technology Letters | 2002年 / 8卷 / 02期
关键词：
Knowledge based systems - Neural networks;
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：
A fault diagnosis method of knowledge-based fuzzy neural network is proposed for complex process, which is hard to develop practical mathematical model. Fault detection is performed through a knowledge-based system, where fault detection heuristic rules have been generated from deep and shallow knowledge of the process. The fuzzy neural network performs the fault diagnosis task. This method does not need practical mathematical models of objects, so it is a strong implement for complex process.
引用
收藏
页码：72 / 75
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