| Journal: | Journal of applied research and technology |
| Database: | PERIÓDICA |
| System number: | 000370565 |
| ISSN: | 1665-6423 |
| Authors: | Moghimi Haji, M1 Vahidi, B1 Hosseinian, S. H1 |
| Institutions: | 1Amirkabir University of Technology, Department of Electrical Engineering, Teherán. Irán |
| Year: | 2013 |
| Season: | Feb |
| Volumen: | 11 |
| Number: | 1 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | This paper presents a novel current transformer (CT) saturation detection approach based on Gaussian Mixture Models (GMMs). High accuracy is the advantage of this method. GMMs are trained with secondary current of CT. The appropriate performance of the proposed method is tested by simulation of different fault conditions in PSCAD/EMTDC software. The results show that the trained GMMs can successfully detect CT saturation with high accuracy |
| Disciplines: | Ingeniería |
| Keyword: | Ingeniería eléctrica, Transformadores de corriente, Saturación, Relevamiento, Modelos gaussianos |
| Keyword: | Engineering, Electrical engineering, Current transformers, Saturation, Relays, Gaussian models |
| Full text: | Texto completo (Ver HTML) |
