A Novel Adaptive Synchrosqueezing Transform Based on Enhanced STFT Scheme for Wind Turbine Bearing Fault Diagnosis.

Huang Z, Yi C, Fang X, Yang F, Deng D.

Open source

DOI: 10.3390/s26206564
Published: 2026-10-16
Container: Sensors (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26206564,
  title = {A Novel Adaptive Synchrosqueezing Transform Based on Enhanced STFT Scheme for Wind Turbine Bearing Fault Diagnosis.},
  author = {Huang Z and  Yi C and  Fang X and  Yang F and  Deng D.},
  year = {2026},
  journal = {Sensors (Basel)},
  doi = {10.3390/s26206564},
  url = {https://doi.org/10.3390/s26206564}
}

RIS

TY  - JOUR
TI  - A Novel Adaptive Synchrosqueezing Transform Based on Enhanced STFT Scheme for Wind Turbine Bearing Fault Diagnosis.
AU  - Huang Z
AU  -  Yi C
AU  -  Fang X
AU  -  Yang F
AU  -  Deng D.
PY  - 2026
JO  - Sensors (Basel)
DO  - 10.3390/s26206564
UR  - https://doi.org/10.3390/s26206564
ER  -

APA

Z, H., C, Y., X, F., F, Y., & D., D. (2026). A Novel Adaptive Synchrosqueezing Transform Based on Enhanced STFT Scheme for Wind Turbine Bearing Fault Diagnosis.. Sensors (Basel). https://doi.org/10.3390/s26206564

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europe-pmc · retrieved 2026-11-10T08:26:08.896Z
doaj · retrieved 2026-11-10T08:26:08.882Z