Ponencia
VICARED: A Neural Network Based System for the Detection of Electrical Disturbances in Real Time
Autor/es | Monedero Goicoechea, Iñigo Luis
León de Mora, Carlos Ropero Rodríguez, Jorge Elena Ortega, José Manuel Montaño Asquerino, Juan-Carlos |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2005 |
Fecha de depósito | 2018-07-12 |
Publicado en |
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ISBN/ISSN | 978-3-540-28325-6 0302-9743 |
Resumen | The study of the quality of electric power lines is usually known as
Power Quality. Power quality problems are increasingly due to a proliferation
of equipment that is sensitive and polluting at the same time. The detection ... The study of the quality of electric power lines is usually known as Power Quality. Power quality problems are increasingly due to a proliferation of equipment that is sensitive and polluting at the same time. The detection and classification of the different disturbances which cause power quality problems is a difficult task which requires a high level of engineering knowledge. Thus, neural networks are usually a good choice for the detection and classification of these disturbances. This paper describes a powerful system for detection of electrical disturbances by means of neural networks. |
Cita | Monedero Goicoechea, I.L., León de Mora, C., Ropero Rodríguez, J., Elena Ortega, J.M. y Montaño Asquerino, J.C. (2005). VICARED: A Neural Network Based System for the Detection of Electrical Disturbances in Real Time. En ICNC 2005: International Conference on Natural Computation (147-154), Changsha, China: Springer. |
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