Short Circuit Location in Transformer Winding Using Deep Learning of Its Frequency Responses

Published: Aug 1, 2019
Abstract
A turn-to-turn short circuit fault is One of the most important defects in transformer windings that is most difficult to diagnosis. Degradation decreases impedances of inter-turn insulations that finally may lead to a solid turn-to-turn short circuit. In this paper, early detection of turn-to-turn faults in transformers windings has been studied, in its high-impedance stage, using Convolutional Neural Network (CNN) based on extracting features...
Paper Details
Title
Short Circuit Location in Transformer Winding Using Deep Learning of Its Frequency Responses
Published Date
Aug 1, 2019
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