Fault diagnosis of mining rolling bearings based on Superlet Transform and OD-ConvNeXt-ELA

Fault diagnosis of mining rolling bearings based on Superlet Transform and OD-ConvNeXt-ELA

In response to the limitations of current fault diagnosis methods for mining rolling bearings, which suffer from limited feature extraction capabilities and poor generalization, a fault diagnosis method based on Superlet Transform (SLT) and OD-ConvNeXt-ELA was proposed. Built upon ConvNeXt-T, Batch...

Full description

Saved in:
Bibliographic Details
Main Authors: WU Xinzhong, LUO Kang, TANG Shoufeng, HE Zexu, CHEN Qi
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2024-12-01
Series:Gong-kuang zidonghua
Subjects:
mining rolling bearings
fault diagnosis
convnext
superlet transform
full-dimensional dynamic convolution
efficient local attention mechanism
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024080056
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024080056

Similar Items