Using intelligent systems in experimental signal analysis for power transformer diagnosis

Author

Silva, Ivan N. ; Flauzino, Rogerio A. ; Spatti, D. ; Gonzales, Carlos G. ; Carrapato, M. ; Costa, Paulo I. ; Bonfim, T.

Author_Institution

Dept. of Electr. Eng., Univ. of Sao Paulo, Sao Carlos, Brazil

fYear

2014

fDate

12-15 May 2014

Firstpage

1240

Lastpage

1244

Abstract

This paper presents detailed intelligent techniques concepts commonly used in power transformer signals analysis. It will be given more attention to Dissolved Gas Analysis (DGA), Transformer Turn Ratio (TTR) and Induced Voltage tests. The main purpose of the work is to establish a database and intelligent system specification that stores all data acquired from testing and therefore make it possible, for an expert system based on intelligent tools, make integration and data analysis.

Keywords

data acquisition; expert systems; power engineering computing; power transformers; DGA; TTR; data acquisition; data analysis; dissolved gas analysis; experimental signal analysis; expert system; induced voltage test; intelligent system; intelligent tools; power transformer diagnosis; power transformer signals analysis; transformer turn ratio; Artificial neural networks; Databases; Oil insulation; Power transformer insulation; Voltage measurement; Windings; expert systems; intelligent systems; power transformers; signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International

Conference_Location

Montevideo

Type

conf

DOI

10.1109/I2MTC.2014.6860942

Filename

6860942