Research on Recognition Method of Electrical Components Based on FEYOLOv4-tiny

• Published in: Journal of electrical engineering & technology Vol. 17; no. 6; pp. 3541 - 3551
• Main Authors: Gao, Jilong, Sun, Haoran, Han, Jiarui, Sun, Qian, Zhong, Tie
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.11.2022
• Subjects: Electrical Engineering; Electrical Machines and Networks; Electronics and Microelectronics; Engineering; Instrumentation; Original Article; Power Electronics; Deep learning; Power inspection; YOLOv4-tiny; Electrical component identification; Inspection image

Recently, electrical component recognition technology is of great significance for fault identification and stable operation of the modern power grids. With the rapid improvement of smart grids, higher requirements are put forward to the recognition methods in detection accuracy and real-time perfor...