Investigation on fuzzy degree criterion of the fault diagnosis in electrical power equipment

被引：1

作者：

Zhou, Long ^{[1
]}

Tong, Xiao-Jun ^{[1
]}

Chen, Mian-Yun ^{[2
]}

机构：

[1] Wuhan Polytech Univ, Wuhan 430023, Peoples R China

[2] Huazhong Univ Sci & Technol, Wuhan 430074, Peoples R China

来源：

PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年

关键词：

fuzzy degree criterion; electrical power equipment; fault diagnosis;

D O I：

10.1109/ICMLC.2008.4620606

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The choice of feature parameter is very important to the fault diagnosis of electrical power equipment. In this paper, the conception of fuzzy degree of two error diagnoses in fault diagnosis and (lie fuzzy criterion for fault feature parameter evaluation are provided based on fuzzy set theory. Finally, the effectiveness of this criterion is provided by an example. The examples show that the method can obtain better diagnosis results.

引用

页码：1302 / +

页数：2