Research on automatic location and recognition of insulators in substation based on YOLOv3

With the development of a smart grid, the automatic location of power equipment is becoming a trend. In this study, a method for automatic location identification and diagnosis of external power insulation equipment based on YOLOv3 is proposed. This deep learning algorithm is used to extract the cha...

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Bibliographic Details
Main Authors:	Yunpeng Liu, Xinxin Ji, Shaotong Pei, Ziru Ma, Gonghao Zhang, Ying Lin, Yufeng Chen
Format:	Article
Language:	English
Published:	Wiley 2019-10-01
Series:	High Voltage
Subjects:	smart power grids feature extraction learning (artificial intelligence) substations image recognition fault diagnosis power apparatus power engineering computing insulators visible light path insulator target recognition light path diagnosis lean diagnosis intelligent diagnosis power equipment location analysis smart grid automatic location identification external power insulation equipment deep learning algorithm image data visible light channel rapid location identification time 0.0182 s substation location recognition model training rate yolov3 algorithm ultraviolet channel discharge characteristics external insulation equipment frame selection
Online Access:	https://digital-library.theiet.org/content/journals/10.1049/hve.2019.0091

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https://digital-library.theiet.org/content/journals/10.1049/hve.2019.0091

Research on automatic location and recognition of insulators in substation based on YOLOv3

Internet

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