Monitoring of Composite Insulators in Transmission Lines: A Hydrophobicity Diagnostic Method Using Aerial Images and Residual Neural Networks

Hydrophobicity detection is of great significance to the condition monitoring of composite insulators, is an important guarantee for the safe operation of transmission lines. Therefore, this article proposes a hydrophobicity diagnosis method based on an improved residual neural network. The method c...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on power delivery 2023-08, Vol.38 (4), p.2500-2509
Hauptverfasser:	Liu, Guote, Wen, Yonghua, Gu, Yu, Guo, Fang, Zhou, Jinhui, Zhang, Xinming, Chen, Sijun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Classification algorithms Composite insulator Condition monitoring Deconvolution Diagnostic systems Feature extraction Field tests hydropho- bicity detection Hydrophobicity image distortion Image enhancement Image quality Insulators Medical imaging Modules Neural networks Residual neural networks Training Transmission lines weakly supervised
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!