Triple Extraction Technique for Power Transformer Fault Information Disposal Based on a Residual Dilate Gated Convolution and Self-Attention Mechanism

Triple Extraction Technique for Power Transformer Fault Information Disposal Based on a Residual Dilate Gated Convolution and Self-Attention Mechanism

This article presents a triple extraction technique for a power transformer fault information process based on a residual dilate gated convolution and self-attention mechanism. An optimized word input sequence is designed to improve the effectiveness of triple extraction. A residual dilate gated con...

Full description

Bibliographic Details
Main Authors: HongYing He, XiHao Yin, DianSheng Luo, RuiYao Xi, Jie Fang, FangYu Fu, GuangWei Luo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Energy Research
Subjects:
power transformer
optimized character input sequence
residual dilate gated convolution
self-attention mechanism
binary tag framework
triple
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.929535/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.929535/full

Similar Items