Partial Discharge Pattern Recognition of Transformer Based on Deep Forest Algorithm

In order to improve the accuracy of pattern recognition of transformer partial discharge type, solving the current pattern recognition based on machine learning algorithm requires artificial extraction of description features, poor adaptability and low recognition accuracy. In this paper, the deep f...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of physics. Conference series 2020-01, Vol.1437 (1), p.12083
Hauptverfasser:	Guan, Jie, Guo, Minkai, Fang, Sen
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Discharge Feature extraction Image classification Inspection Interpolation Machine learning Nondestructive testing Object recognition Pattern recognition Physics Transformers
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!