Bearing fault diagnosis based on improved DenseNet for chemical equipment
Abstract This paper proposes an optimized DenseNet-Transformer model based on FFT-VMD processing for bearing fault diagnosis. First, the original bearing vibration signal is decomposed into frequency-domain and time–frequency-domain components using FFT and VMD methods, extracting key signal feature...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-12812-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|