A Novel Fault Diagnosis Method for a Power Transformer Based on Multi-Scale Approximate Entropy and Optimized Convolutional Networks

A Novel Fault Diagnosis Method for a Power Transformer Based on Multi-Scale Approximate Entropy and Optimized Convolutional Networks

Dissolved gas analysis (DGA) in transformer oil, which analyzes its gas content, is valuable for promptly detecting potential faults in oil-immersed transformers. Given the limitations of traditional transformer fault diagnostic methods, such as insufficient gas characteristic components and a high...

Full description

Bibliographic Details
Main Authors: Haikun Shang, Zhidong Liu, Yanlei Wei, Shen Zhang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Entropy
Subjects:
DGA
power transformer
CNNs
sparrow search algorithm
approximate entropy
Online Access:https://www.mdpi.com/1099-4300/26/3/186

Similar Items

Similar Items