Detection of Transmission Line Insulator Defects Based on an Improved Lightweight YOLOv4 Model

Detection of Transmission Line Insulator Defects Based on an Improved Lightweight YOLOv4 Model

Defective insulators seriously threaten the safe operation of transmission lines. This paper proposes an insulator defect detection method based on an improved YOLOv4 algorithm. An insulator image sample set was established according to the aerial images from the power grid and the public dataset on...

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Bibliographic Details
Main Authors: Zhibin Qiu, Xuan Zhu, Caibo Liao, Dazhai Shi, Wenqian Qu
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Applied Sciences
Subjects:
transmission line
insulator
improved YOLOv4
lightweight convolutional neural network
defect detection
Online Access:https://www.mdpi.com/2076-3417/12/3/1207

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