| Revista: | Journal of applied research and technology |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000370565 |
| ISSN: | 1665-6423 |
| Autores: | Moghimi Haji, M1 Vahidi, B1 Hosseinian, S. H1 |
| Instituciones: | 1Amirkabir University of Technology, Department of Electrical Engineering, Teherán. Irán |
| Año: | 2013 |
| Periodo: | Feb |
| Volumen: | 11 |
| Número: | 1 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | 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 |
| Disciplinas: | Ingeniería |
| Palabras clave: | Ingeniería eléctrica, Transformadores de corriente, Saturación, Relevamiento, Modelos gaussianos |
| Keyword: | Engineering, Electrical engineering, Current transformers, Saturation, Relays, Gaussian models |
| Texto completo: | Texto completo (Ver HTML) |
