SF6 Pointer Pressure Meter Reading Method Based on Fusion Attention Feature UNet

SF6 Pointer Pressure Meter Reading Method Based on Fusion Attention Feature UNet

Aiming at the problem of decreasing the accuracy of meter reading caused by manual reading, an SF6 pointer-type pressure meter reading method based on the fusion attention feature UNet is proposed to improve the accuracy of pointer-type pressure meter reading. Firstly, design the fusion attention fe...

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Bibliographic Details
Main Authors: Hao Wu, Ziyuan Qi, Haipeng Tian, Zhihao Ni, Weizhe Chen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Pressure meter
UNet neural networks
deep feature fusion
attentional mechanisms
K-means clustering algorithm
Online Access:https://ieeexplore.ieee.org/document/10267972/

Internet

https://ieeexplore.ieee.org/document/10267972/

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