The Intelligent Fault Diagnosis of Construction Machinery based on Multi-Agent

被引：0

作者：

Wang Yi ^{[1
]}

Jiang Ping ^{[2
]}

Luo Ya-hui ^{[2
]}

Xie Yan-qun ^{[2
]}

机构：

[1] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China

[2] Hunan Agr Univ, Coll Engn, Changsha 410128, Peoples R China

来源：

MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2 | 2011年 / 48-49卷

关键词：

construction machine; multi-Agent technology; fuzzy; fault diagnosis;

D O I：

10.4028/www.scientific.net/AMM.48-49.1265

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The number of construction machinery faults is too much and its diagnosis are fuzzy and complex. We construct the fault hierarchy model by the means of hierarchy analysis and obtain all kinds of Possibility degree of faults factors through the triangular fuzzy complementary judgment matrix. Take the fault diagnosis of diesel engine fuel system, this paper establish intelligent fault diagnosis system, which has the ability of self-learning and self-correction using multi-agent technology.

引用

页码：1265 / +

页数：2

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