Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks

Dissolved Gas Analysis (DGA) of transformer oil is a critical technique for transformer fault diagnosis that involves analyzing the concentration of gases to detect potential transformer faults in a timely manner. Given the issues of large model parameters and high computational resource demands in...

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Bibliographic Details

Published in:	Entropy
Main Authors:	Haikun Shang, Yanlei Wei, Shen Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Subjects:	transformer DGA sample entropy knowledge distillation recursive plots CNNs
Online Access:	https://www.mdpi.com/1099-4300/27/7/669