Diagnosis of oil-insulated power apparatus by using neural network simulation

被引：30

作者：

Vanegas, O ^{[1
]}

Mizuno, Y ^{[1
]}

Naito, K ^{[1
]}

Kamiya, T ^{[1
]}

机构：

[1] AICHI ELECT CO LTD,AICHI,JAPAN

来源：

IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION | 1997年 / 4卷 / 03期

关键词：

D O I：

10.1109/94.598285

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：

One diagnostic process for oil-insulated power apparatus is based on the analysis of the chemical composition of gases evolved by the insulating oil. Normally this can be done only by human expert. A considerable amount of information on the relation between chemical components and the faulty part of the power apparatus has been accumulated. This paper describes a neural network system which can be applied to existing diagnostic methods to enable analysis even by inexperienced engineers.

引用

页码：290 / 299

页数：10