The study of transformer failure diagnose expert system based on rough set theory

被引：0

作者：

Xiang, XJ ^{[1
]}

Shan, JF ^{[1
]}

Fuchs, FW ^{[1
]}

机构：

[1] Zhejiang Univ Sci & Technol, Hangzhou, Zhejiang, Peoples R China

来源：

IPEMC 2004: THE 4TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE, VOLS 1-3, CONFERENCE PROCEEDINGS | 2004年

关键词：

rough set; transformer; failure diagnose; 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：

On the basis of the traditional diagnose expert system of transformer failure, hereby we introduce a theory to solve the bottleneck problem of what expert system can hardly obtain complete knowledge. By the decision table formed by recorded failure data, the system uses "RS" theory to simplify and set up the knowledge model of expert system. The trustiness of the diagnose rule will be expressed by counting the rough degree of inferring rule. Inferring machine and failure data will be used to realize the dynamic protection of knowledge storage.

引用

页码：553 / 556

页数：4