An Automatic Recognition and Defect Diagnosis Model of Transmission Line Insulator Based on YOLOv2 Network

Aiming at the transmission line insulator images obtained by drones or robots, this paper proposes an online recognition and defect diagnosis model of transmission line insulators based on YOLOv2 network. The YOLOv2 network is trained to learn and accurately recognize the characteristics of various...

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Bibliographic Details
Main Authors: Qiupin LAI, Jun YANG, Bendong TAN, Liang WANG, Siyao FU, Liwei HAN
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2019-07-01
Series:Zhongguo dianli
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Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201806102
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