Research on Deep Learning-Based Method for Bearing Fault Diagnosis in TENG Under Wear Conditions.

Li Z, Tang W, Duan Q, Li X, Wang M

Open source

DOI
10.3390/mi17080918
Published
2026 Jul 30
Container
Micromachines
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/mi17080918,
  title = {Research on Deep Learning-Based Method for Bearing Fault Diagnosis in TENG Under Wear Conditions.},
  author = {Li Z and Tang W and Duan Q and Li X and Wang M},
  year = {2026},
  journal = {Micromachines},
  doi = {10.3390/mi17080918},
  url = {https://doi.org/10.3390/mi17080918}
}

RIS

TY  - JOUR
TI  - Research on Deep Learning-Based Method for Bearing Fault Diagnosis in TENG Under Wear Conditions.
AU  - Li Z
AU  - Tang W
AU  - Duan Q
AU  - Li X
AU  - Wang M
PY  - 2026
JO  - Micromachines
DO  - 10.3390/mi17080918
UR  - https://doi.org/10.3390/mi17080918
ER  - 

APA

Z, L., W, T., Q, D., X, L., & M, W. (2026). Research on Deep Learning-Based Method for Bearing Fault Diagnosis in TENG Under Wear Conditions.. Micromachines. https://doi.org/10.3390/mi17080918

Source records