On-line detection of gases dissolved in transformer oil and the faults diagnosis

被引：2

作者：

Liao, RJ ^{[1
]}

Sun, CX ^{[1
]}

Chen, WG ^{[1
]}

Wang, CS ^{[1
]}

机构：

[1] Chongqing Univ, Dept Elect Engn, Chongqing 400044, Peoples R China

来源：

1998 INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATING MATERIALS, PROCEEDINGS | 1998年

关键词：

on-line detection; transformer; faults diagnosis;

D O I：

10.1109/ISEIM.1998.741861

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：

This paper describes the theory of online detection of six kinds of gases H-2,CO,CH4,C2H4,C2H2,C2H6 - which are dissolved in transformer oil, and analyzes the characterististics of the microcomputer detection system. The back propagation neural network (BPNN) is applied to diagnosing the transformer faults, and the results of verification show that the BPNN diagnosis method is effective([3]).

引用

页码：771 / 774

页数：4

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