Transformer Faults Classification Based on Convolution Neural Network
Maha A. Elmohallawy,
Amir Yassin Hassan,
Amal F. Abdel-Gawad
et al.
Abstract:This paper studies the latest advances made in Deep Learning (DL) methods utilized for transformer inrush and fault currents classification. Inrush and fault currents at different operating conditions, initial flux and fault type are simulated. This paper presents a technique for the classification of power transformer faults which is based on a DL method called convolutional neural network (CNN) and compares it with traditional artificial neural network (ANN) and other techniques. The inrush and fault current… Show more
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