New approach on comprehensive diagnosis of insulation faults in power transformer

Author

Gao, Ning ; Yan, Zhang

Author_Institution

High Voltage Inst., Helsinki Univ. of Technol., Espoo, Finland

fYear

2002

fDate

7-10 Apr 2002

Firstpage

203

Lastpage

206

Abstract

Insulation diagnosis of a power transformer is a comprehensive research project that relates theories and knowledge in many different areas. With the development of computer science, the application of expert system, fuzzy logic and artificial neural network on faults diagnosis are possible. However, accomplishing the accurate and comprehensive conclusions is a problem yet unsolved. In this paper, new comprehensive diagnostic scheme is proposed. It enhances the evaluation of diagnostic results as justify by case studies.

Keywords

diagnostic expert systems; fault diagnosis; fuzzy set theory; insulation testing; neural nets; power engineering computing; power transformer insulation; power transformer testing; artificial neural network; expert system applications; fuzzy logic; fuzzy membership functions; fuzzy rules; insulation faults diagnosis; power transformer; Artificial neural networks; Diagnostic expert systems; Dissolved gas analysis; Fault diagnosis; Fuzzy logic; Insulation testing; Oil insulation; Petroleum; Power transformer insulation; Power transformers;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation, 2002. Conference Record of the 2002 IEEE International Symposium on

Print_ISBN

0-7803-7337-5

Type

conf

DOI

10.1109/ELINSL.2002.995913

Filename

995913