Study on integrated intelligent system for fault diagnosis

被引：0

作者：

Li, Y ^{[1
]}

Yu, HQ ^{[1
]}

Feng, ZS ^{[1
]}

机构：

[1] Ordnance Engn Coll, Shijiazhuang 050003, Peoples R China

来源：

ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS | 2003年

关键词：

fault diagnosis; integrated intelligent system; case-based; rule-based; model-based; artificial neural network;

D O I：

暂无

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

This paper designs an integrated intelligent system for fault diagnosis that integrates multi-methods of fault diagnosis including rule-based, case-based, model-based and artificial neural network-based methods. The domain knowledge is represented in multi methods; the inference strategy and knowledge acquisition mechanism is also integrated. The study indicates that the integration of multi-fault diagnosis methods is an effective approach to overcome the limitations of single method, improve diagnosis efficiency, enhance diagnosis accuracy and extend covering ratio of the diagnosis results.

引用

页码：587 / 590

页数：4

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