An Improved U-Net Segmentation Model That Integrates a Dual Attention Mechanism and a Residual Network for Transformer Oil Leakage Detection

An Improved U-Net Segmentation Model That Integrates a Dual Attention Mechanism and a Residual Network for Transformer Oil Leakage Detection

Accurately detecting oil leakage from a power transformer is important to maintain its normal operation. Deep learning (DL) methods have achieved satisfactory performance in automatic oil detection, but challenges remain due to the small amount of training data and oil targets with large variations...

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Bibliographic Details
Main Authors: Xuxu Li, Xiaojiang Liu, Yun Xiao, Yao Zhang, Xiaomei Yang, Wenhai Zhang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
residual block
spatial attention
channel-wise attention
U-net segmentation
oil leakage detection
Online Access:https://www.mdpi.com/1996-1073/15/12/4238

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https://www.mdpi.com/1996-1073/15/12/4238

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