Power quality detection and classification using wavelet and support vector machine
This work presents the identification and classification of various disturbances that affect the quality of energy, seen as the quality of the voltage wave (harmonics, sag, swell and flicker). For this, the wavelet transform is used, which allows to have characteristic patterns as input signals of t...
- Autores:
-
Garrido Arévalo, Víctor Manuel
Gil-González, Walter
Holguín, M.
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9530
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9530
https://iopscience.iop.org/article/10.1088/1742-6596/1448/1/012002/meta
- Palabra clave:
- Energía eléctrica
Calidad de la energía
Voltaje
Redes eléctricas
Distribución de energía eléctrica
Electric power
Quality of energy
Voltage
Electrical networks
Electric power distribution
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/