Title :
On-line detection of gases dissolved in transformer oil and the faults diagnosis
Author :
Ruijin, Liao ; Caixin, Sun ; Weigen, Chen ; Caisheng, Wang
Author_Institution :
Dept. of Electr. Eng., Chongqing Univ., China
Abstract :
This paper describes the theory of on-line detection of six kinds of gases-H2,CO,CH4,C2H4,C 2H2,C2H6-which are dissolved in transformer oil, and analyzes the characteristics 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
Keywords :
backpropagation; insulation testing; neural nets; transformer oil; backpropagation neural network; dissolved gas analysis; fault diagnosis; microcomputer system; on-line detection; transformer oil; Control systems; Fault detection; Fault diagnosis; Gases; Hydrocarbons; Oil insulation; Optical control; Petroleum; Semiconductor device measurement; Temperature control;
Conference_Titel :
Electrical Insulating Materials, 1998. Proceedings of 1998 International Symposium on
Conference_Location :
Toyohashi
Print_ISBN :
4-88686-050-8
DOI :
10.1109/ISEIM.1998.741861
