Development of Oil Immersed Transformer Management Technologies by Using Dissolved Gas Analysis

Author

Sun, Jong-Ho ; Han, Sang-Bo ; Yi, Sang-Hwa ; Kang, Dong-Sik ; Kim, Kwang-Hwa

Author_Institution

Korea Electrotechnol. Res. Inst., Changwon

fYear

2006

fDate

38869

Firstpage

683

Lastpage

686

Abstract

A newly developed diagnosis system using DGA (dissolved gas analysis) was studied for the effective management of oil-immersed transformers. It consists of the measurement system of dissolved hydrogen gas in oil and DGA software based on dissolved gases such as acetylene (C₂H₂), hydrogen (H₂), ethylene (C₂H₄), methane (CH₄), ethane (C₂H₆), carbon monoxide (CO) and carbon dioxide (CO₂). The system for hydrogen gas measurement was designed using semiconductor gas sensor and polymer membrane. Artificial neural network and rule based DGA possibility in the software were used for recognition of fault causes and decision of fault

Keywords

chemical analysis; fault diagnosis; gas sensors; hydrogen; insulation testing; knowledge based systems; neural nets; power engineering computing; power transformer insulation; power transformer testing; transformer oil; DGA software; H₂; artificial intelligence; artificial neural network; dissolved gas analysis; fault decision; fault diagnosis system; fault recognition; hydrogen gas measurement system; oil immersed transformer management technologies; polymer membrane; rule based system; semiconductor gas sensor; Carbon dioxide; Dissolved gas analysis; Gas detectors; Gases; Hydrogen; Oil insulation; Petroleum; Polymers; Software measurement; Technology management; artificial intelligence diagnosis system; fault; neural network; oil-immersed transformer;

fLanguage

English

Publisher

ieee

Conference_Titel

Properties and applications of Dielectric Materials, 2006. 8th International Conference on

Conference_Location

Bali

Print_ISBN

1-4244-0189-5

Electronic_ISBN

1-4244-0190-9

Type

conf

DOI

10.1109/ICPADM.2006.284269

Filename

4062758