Development of Software and Hardware for Identification of Interturn Short Circuit in Single-Phase Transformers

The methods of diagnostics of interturn short circuits in transformer and the method of their classification by means of convolutional neural networks are considered. Appli cation of this technology will allow to analyse information in real time mode, classify various deviations and defects.