Title :
Fast fault diagnosis in power transformers using Optimum-Path Forest
Author :
Souza, A.N. ; Ramos, C.C.O. ; Gastaldello, D.S. ; Nakamura, R.Y.M. ; Papa, J.P.
Author_Institution :
Dept. of Electr. Eng., UNESP-Univ. Estadual Paulista, São Paulo, Brazil
Abstract :
In this paper we propose a fast and an accurate method for fault diagnosis in power transformers by means of Optimum-Path Forest (OPF) classifier. Since we applied Dissolved Gas Analysis (DGA), the samples have been labeled by IEEE/IEC standard, which was further analyzed by OPF and several other well known supervised pattern recognition techniques. The experiments have showed that OPF can achieve high recognition rates with low computational cost.
Keywords :
IEC standards; IEEE standards; chemical analysis; fault diagnosis; graph theory; pattern recognition; power transformer protection; DGA; IEEE-IEC standard; OPF classifier; dissolved gas analysis; fast fault diagnosis; optimum-path forest; pattern recognition technique; power transformer; Fault diagnosis; IEC standards; Neural networks; Oil insulation; Power transformers; Prototypes; Training;
Conference_Titel :
Intelligent Engineering Systems (INES), 2012 IEEE 16th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-2694-0
Electronic_ISBN :
978-1-4673-2693-3
DOI :
10.1109/INES.2012.6249832
