Rolling Bearing Fault Diagnosis Method Based on FFT-VMD Multiscale Information Fusion and SE-TCN Model
Rolling bearings are important parts of industrial equipment, and their fault diagnosis is crucial to maintaining these equipment’s regular operations. With the goal of improving the fault diagnosis accuracy of rolling bear... | Find, read and cite all the research you need on Tech Science Press
Authors
- Chaozhi Cai (ORCID: https://orcid.org/0000-0001-8817-5232)
- Yingfang Xue (ORCID: https://orcid.org/0000-0001-9337-0665)
- Jianhua Ren (ORCID: https://orcid.org/0009-0007-3333-9739)
- Yuqi Ren (ORCID: https://orcid.org/0009-0000-9030-7468)
Institutions
- Hebei University of Engineering (CN)
Publication Details
- Journal
- Structural durability & health monitoring
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/sdhm.2025.059044
- Citations
- 3
- Primary Topic
- Advanced Decision-Making Techniques
- Type
- article
- Field-Weighted Citation Impact
- 9.74
Funders
- Hebei University
- Hebei University of Engineering