Research on bearing fault diagnosis based on a multimodal method
As an essential component of mechanical systems, bearing fault diagnosis is crucial to ensure the safe operation of the equipment. However, vibration data from bearings often exhibit non-stationary and nonlinear features, which complicates fault diagnosis. To address this challenge, this paper intro...
Saved in:
Main Authors: | Hao Chen, Shengjie Li, Xi Lu, Qiong Zhang, Jixining Zhu, Jiaxin Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-12-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2024338 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching
by: Chengyao Liu, et al.
Published: (2024-01-01) -
A study on rolling bearing fault diagnosis using RIME-VMD
by: Zhenrong Ma, et al.
Published: (2025-02-01) -
Recent advances in journal bearings: wear fault diagnostics, condition monitoring and fault diagnosis methodologies
by: Nazik Jebur, et al.
Published: (2025-01-01) -
Aircraft Bearing Fault Diagnosis Method Based on LSTM-IDRSN
by: Lei Wang, et al.
Published: (2025-01-01) -
Resnet-1DCNN-REA bearing fault diagnosis method based on multi-source and multi-modal information fusion
by: Xu Chen, et al.
Published: (2024-11-01)