A New Methodology for Identifying Arc Fault by Sparse Representation and Neural Network

This paper proposes a sparse representation and fully connected neural network (SRFCNN) methodology for residential ac series arc fault identification. The SRFCNN method captures the features of idiographic signal using sparse coding and conducts intelligent feature learning and classification throu...

Ausführliche Beschreibung