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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Veröffentlicht in:	High voltage 2020-02, Vol.5 (1), p.62-68
Hauptverfasser:	Liu, Yunpeng, Ji, Xinxin, Pei, Shaotong, Ma, Ziru, Zhang, Gonghao, Lin, Ying, Chen, Yufeng
Format:	Artikel
Sprache:	eng
Schlagworte:	automatic location identification deep learning algorithm discharge characteristics external insulation equipment external power insulation equipment fault diagnosis feature extraction frame selection image data image recognition insulators intelligent diagnosis lean diagnosis learning (artificial intelligence) light path diagnosis location analysis location recognition model power apparatus power engineering computing power equipment rapid location identification Research Article smart grid smart power grids substation substations time 0.0182 s training rate ultraviolet channel visible light channel visible light path insulator target recognition YOLOv3 algorithm
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