Research on Improved Residual Network Classification Method for Defect Recognition of Thermal Battery

Research on Improved Residual Network Classification Method for Defect Recognition of Thermal Battery

Thermal battery is an ideal power supply for military applications such as artillery and ship equipment. Due to the sheet-type process of the thermal battery, various installation error defects occur in the assembly of thermal battery. Aiming at the problems of low efficiency and low defect-recognit...

Full description

Bibliographic Details
Main Authors: Wenchao Xu, Sixiang Zhang, Fang Bai, Tao Zhao
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Transfer learning
residual network
squeeze-and-excitation networks
defect identification
thermal battery
Online Access:https://ieeexplore.ieee.org/document/9930520/

Internet

https://ieeexplore.ieee.org/document/9930520/

Similar Items