GMRVGG: A Bearing Fault Diagnosis Method Based on Tri-Modal Image Feature Fusion
- DOI
- 10.3390/s26082426
- Published
- 2026-04-15
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26082426,
title = {GMRVGG: A Bearing Fault Diagnosis Method Based on Tri-Modal Image Feature Fusion},
author = {Ao Li and Yuantao Li and Xiaoli Wang and Jiancheng Yin},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26082426},
url = {https://doi.org/10.3390/s26082426}
}RIS
TY - JOUR TI - GMRVGG: A Bearing Fault Diagnosis Method Based on Tri-Modal Image Feature Fusion AU - Ao Li AU - Yuantao Li AU - Xiaoli Wang AU - Jiancheng Yin PY - 2026 JO - Sensors DO - 10.3390/s26082426 UR - https://doi.org/10.3390/s26082426 ER -
APA
Li, A., Li, Y., Wang, X., & Yin, J. (2026). GMRVGG: A Bearing Fault Diagnosis Method Based on Tri-Modal Image Feature Fusion. Sensors. https://doi.org/10.3390/s26082426
Source records
- crossref · retrieved 2026-11-11T03:16:00.017Z