Fast fault diagnosis in power transformers using optimum-path forest
| Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
|---|---|
| Data(s) |
27/05/2014
27/05/2014
01/10/2012
|
| Resumo |
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. © 2012 IEEE. |
| Formato |
209-212 |
| Identificador |
http://dx.doi.org/10.1109/INES.2012.6249832 INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, p. 209-212. http://hdl.handle.net/11449/73612 10.1109/INES.2012.6249832 2-s2.0-84866646528 |
| Idioma(s) |
eng |
| Relação |
INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings |
| Direitos |
closedAccess |
| Palavras-Chave | #Computational costs #Dissolved gas analysis #Optimum-path forests #Recognition rates #Supervised pattern recognition #Forestry #Pattern recognition #Power transformers #Experimentation #Pattern Recognition #Power Factor #Transformers |
| Tipo |
info:eu-repo/semantics/conferencePaper |
