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Estimador de estado y enfoque de localización de fallas basado en redes neuronales convolucionales para redes
Jameel Ahmed Bhutto1, Sohaib Tahir Chauhdary2, Saad Arif3
1Department of Computer Science, Huanggang Normal University, Huanggang, 438000, China. jameel_csn18@yahoo.com.
Este estudio presenta un nuevo método para detectar, clasificar y localizar fallas en redes de distribución de corriente continua (CC). El enfoque utiliza un filtro de Kalman de cubatura y redes neuronales convolucionales para una identificación de fallas rápida y precisa.
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