Construction of Transformer Fault Diagnosis and Prediction Model Based on Deep Learning

The current intelligent diagnosis and prediction methods for transformer faults are prone to low diagnostic accuracy and insufficient trend prediction ability when the fault categories are imbalanced. Therefore, a fault diagnosis and prediction model for transformers was constructed using a deep lea...

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Bibliographic Details

Published in:	Journal of Computing and Information Technology
Main Author:	Xiaomeng Li
Format:	Article
Language:	English
Published:	University of Zagreb Faculty of Electrical Engineering and Computing 2022-01-01
Subjects:	deep learning, transformer, fault, prediction model, TensorFlow
Online Access:	https://hrcak.srce.hr/file/452427