Detection Method for Inter-Turn Short Circuit Faults in Dry-Type Transformers Based on an Improved YOLOv8 Infrared Image Slicing-Aided Hyper-Inference Algorithm

Inter-Turn Short Circuit (ITSC) faults do not necessarily produce high temperatures but exhibit distinct heat distribution and characteristics. This paper proposes a novel fault diagnosis and identification scheme utilizing an improved You Look Only Once Vision 8 (YOLOv8) algorithm, enhanced with an...

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Veröffentlicht in:	Energies (Basel) Jg. 17; H. 18; S. 4559
Hauptverfasser:	Zhang, Zhaochuang, Xia, Jianhua, Wen, Yuchuan, Weng, Liting, Ma, Zuofu, Yang, Hekai, Yang, Haobo, Dou, Jinyao, Wang, Jingang, Zhao, Pengcheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2024
Schlagworte:	Accuracy Algorithms Cameras Datasets Deep learning dynamic snake convolution Electric fault location Electric transformers Image processing infrared image inter-turn short circuit fault Methods Neural networks Short circuits slicing-aided hyper-inference algorithm YOLOv8 China
ISSN:	1996-1073, 1996-1073
Online-Zugang:	Volltext
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