Intelligent Bearing Fault Diagnosis Based on Multivariate Symmetrized Dot Pattern and LEG Transformer

Intelligent Bearing Fault Diagnosis Based on Multivariate Symmetrized Dot Pattern and LEG Transformer

Deep learning based on vibration signal image representation has proven to be effective for the intelligent fault diagnosis of bearings. However, previous studies have focused primarily on dealing with single-channel vibration signal processing, which cannot guarantee the integrity of fault feature...

Full description

Bibliographic Details
Main Authors: Bin Pang, Jiaxun Liang, Han Liu, Jiahao Dong, Zhenli Xu, Xin Zhao
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Machines
Subjects:
multivariate symmetrized dot pattern
Swin Transformer
fault visualization
rolling bearing
fault diagnosis
Online Access:https://www.mdpi.com/2075-1702/10/7/550

Internet

https://www.mdpi.com/2075-1702/10/7/550

Similar Items