Transmission Line Key Components and Defects Detection Based on Meta-Learning

The detection of key components with defects in transmission lines is a critical task in maintaining a power system's stability. Deep learning (DL) can play an important role in the detection. However, due to limited samples of defect components, DL methods can easily suffer from overfitting in...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2024, Vol.73, p.1-13
Hauptverfasser:	Dong, Chao, Zhang, Ke, Xie, Zhiyuan, Wang, Jiacun, Guo, Xiwang, Shi, Chaojun, Xiao, Yangjie
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cascade region-aware fusion (RAF) heads Clamps Deep learning Defects Feature extraction Inspection Insulators Machine learning meta-learning Object detection Power transmission lines Queries RAF module Training transmission line object detection Transmission lines two-stage training strategy
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