GMRVGG: A Bearing Fault Diagnosis Method Based on Tri-Modal Image Feature Fusion.

Li A, Li Y, Wang X, Yin J

DOI: 10.3390/s26082426
Published: 2026 Apr 15
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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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 = {Li A and Li Y and Wang X and Yin J},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  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  - Li A
AU  - Li Y
AU  - Wang X
AU  - Yin J
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26082426
UR  - https://doi.org/10.3390/s26082426
ER  -

APA

A, L., Y, L., X, W., & J, Y. (2026). GMRVGG: A Bearing Fault Diagnosis Method Based on Tri-Modal Image Feature Fusion.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26082426

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pubmed · retrieved 2026-09-25T06:15:17.224Z