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VICARED: A Neural Network Based System for the Detection of Electrical Disturbances in Real Time

 

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Author: Monedero Goicoechea, Iñigo Luis
León de Mora, Carlos
Ropero Rodríguez, Jorge
Elena Ortega, José Manuel
Montaño, Juan C.
Department: Universidad de Sevilla. Departamento de Tecnología Electrónica
Date: 2005
Published in: ICNC 2005: International Conference on Natural Computation (2005), p 147-154
ISBN/ISSN: 978-3-540-28325-6
0302-9743
Document type: Presentation
Abstract: 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.
Cite: Monedero Goicoechea, I.L., León de Mora, C., Ropero Rodríguez, J., Elena Ortega, J.M. y Montaño, 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.
Size: 193.2Kb
Format: PDF

URI: https://hdl.handle.net/11441/77170

DOI: 10.1007/11539117_24

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