Diagnostic Model for Transformer Core Loosening Faults Based on the Gram Angle Field and Multi-Head Attention Mechanism

Diagnostic Model for Transformer Core Loosening Faults Based on the Gram Angle Field and Multi-Head Attention Mechanism

Aiming to address the problems of difficulty in selecting characteristic quantities and the reliance on manual experience in the diagnosis of transformer core loosening faults, a diagnosis method for transformer core looseness based on the Gram angle field (GAF), residual network (ResNet), and multi...

Full description

Saved in:
Bibliographic Details
Main Authors: Junyu Chen, Nana Duan, Xikun Zhou, Ziyu Wang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
transformer vibration
loose iron core
Gram angle field
multi-head attention mechanism
fault diagnosis
Online Access:https://www.mdpi.com/2076-3417/14/23/10906
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-3417/14/23/10906

Similar Items