A novel fuzzy logic approach to transformer fault diagnosis

Author

Islam, Syed Mofizul ; Wu, Tony ; Ledwich, Gerard

Author_Institution

Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Bentley, WA, Australia

Volume

7

Issue

2

fYear

2000

fDate

4/1/2000 12:00:00 AM

Firstpage

177

Lastpage

186

Abstract

Dissolved gas in oil analysis is an well established in-service technique for incipient fault detection in oil-insulated power transformers. A great deal of experience and data in dissolved gas in oil analysis (DGA) is now available within the utilities. Actually, diagnostic interpretations were solely done by human experts using past knowledge and standard techniques such as the ratio method. In this paper, a novel fuzzy logic approach is adopted to develop a computer based intelligent interpretation of transformer faults using Visual basic and C⁺⁺ programming. The proposed fuzzy logic based software as been tested and tuned using over 800 dissolved gas in oil analysis (DGA) case histories. This highly reliable tool has then been utilized in detection and verification of 20 transformer faults. The proposed diagnostic tool is very useful to both expert and novice engineers in DGA result interpretation

Keywords

fault diagnosis; fuzzy logic; insulation testing; power transformer insulation; power transformer testing; transformer oil; computer software; dissolved gas in oil analysis; fault diagnosis; fuzzy logic; in-service technique; oil insulation; power transformer; Dissolved gas analysis; Fault detection; Fault diagnosis; Fuzzy logic; Humans; Logic programming; Oil insulation; Petroleum; Power transformers; Visual BASIC;

fLanguage

English

Journal_Title

Dielectrics and Electrical Insulation, IEEE Transactions on

Publisher

ieee

ISSN

1070-9878

Type

jour

DOI

10.1109/94.841806

Filename

841806