Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International
Conference_Location :
Montevideo
DOI :
10.1109/I2MTC.2014.6860942
