One Fusion Approach of Fault Diagnosis Based on Rough Set Theory and Dezert-Smarandache Theory

被引：0

作者：

Su, Yanqin ^{[1
]}

Song, Zhenyu ^{[2
]}

Xu, Tingxue ^{[3
]}

机构：

[1] Naval Aeronaut & Astronaut Univ, Yantai, Shandong, Peoples R China

[2] Naval Aeronaut & Astronaut Univ, Dept Sci Res, Yantai, Shandong, Peoples R China

[3] Naval Aeronaut & Astronaut Univ, Dept Ordnance Sci & Technol, Yantai, Shandong, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012) | 2012年 / 23卷

关键词：

Rough Sets Theory; Dezert-Smarandache Theory; fault diagnosis;

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：

There are the advantage of Rough Sets Theory and evidence theory for processing uncertain information, and one fusion approach of fault diagnosis based on the Rough Sets Theory and Dezert-Smarandache Theory. Firstly the abundant condition attribution was reduced through Rough Sets Theory, then evidence combining results of each reduced result were calculated through the basic probability assignment and normalized attribution significance. The diagnosis results were combined by DSmT combining equation. Finally the above method was applied to some equipment diagnosis to verify its effectiveness.

引用

页数：4

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