A GIS Partial Discharge Defect Identification Method Based on YOLOv5

A GIS Partial Discharge Defect Identification Method Based on YOLOv5

The correct identification of partial discharge types is of great significance to the stable operation of GIS. In order to improve the recognition accuracy and result of partial discharge, and to meet the requirements of real-time monitoring of GIS equipment, this paper proposes a GIS partial discha...

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Bibliographic Details
Main Authors: Yao Lu, Zhibin Qiu, Caibo Liao, Zhibiao Zhou, Tonghongfei Li, Zijian Wu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
gas insulated switchgear
YOLOv5
partial discharge
ultra-high frequency
defect detection
pattern recognition
Online Access:https://www.mdpi.com/2076-3417/12/16/8360

Internet

https://www.mdpi.com/2076-3417/12/16/8360

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