Infrared feature recognition and temperature extraction method of GIS components based on improved YOLOv4

Infrared feature recognition and temperature extraction method of GIS components based on improved YOLOv4

Target recognition and temperature extraction of the typical component of gas insulated switchgear (GIS) are the key to realizing the infrared intelligent detection of equipment heating state. In this paper, an improved YOLOv4 algorithm based on convolutional block attention module (CBAM) is propose...

Full description

Bibliographic Details
Main Authors: LIU Jiang, GUAN Xiangyu, WEN Yuequan, LYU Chaowei
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2023-01-01
Series:电力工程技术
Subjects:
gas insulated switchgear (gis)
yolov4
infrared image
temperature rise extraction
convolutional block attention module (cbam)
lightweight network
Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/220111055

Internet

https://www.epet-info.com/dlgcjsen/article/abstract/220111055

Similar Items