A fuzzy system for detection of incipient faults in transformers based on the dissolved gas analysis of insulating oil

Author

Morais, Diego R. ; Da Silva, Juliano R. ; Rolim, Jacqueline G.

Author_Institution

Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianopolis

fYear

2005

fDate

7-9 Sept. 2005

Firstpage

1

Lastpage

6

Abstract

This paper describes the development and the implementation of a fuzzy system for diagnosis of incipient faults in power transformers through the analysis of dissolved gases in oil. The system uses the method called ldquokey gasesrdquo in the diagnostic process and information on the level and generation rate of each of the following gases: hydrogen (H2), methane (CH4), acetylene (C2H2), ethylene (C2H4) and ethane (C2H6). Results show that this method can be used for substitution or in addition to the methods traditionally employed in electrical utilities, increasing the reliability of their maintenance management systems.

Keywords

fault location; fuzzy systems; organic compounds; power transformer testing; transformer oil; acetylene; dissolved gas analysis; electrical utilities; ethylene; fuzzy system; hydrogen; incipient fault detection; insulating oil; maintenance management systems; methane; power transformers; Dissolved gas analysis; Fault detection; Fault diagnosis; Fuzzy systems; Gas insulation; Gases; Hydrogen; Oil insulation; Petroleum; Power transformer insulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Diagnostics for Electric Machines, Power Electronics and Drives, 2005. SDEMPED 2005. 5th IEEE International Symposium on

Conference_Location

Vienna

Print_ISBN

978-0-7803-9124-6

Electronic_ISBN

978-0-7803-9125-3

Type

conf

DOI

10.1109/DEMPED.2005.4662538

Filename

4662538