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Peer-reviewedCC BYSensors (Basel, Switzerland)

A Novel Class-Wise Dynamic Anchor Weighting Fusion Framework for Cross-Condition Fault Diagnosis of Offshore Wind Turbine Drivetrain Systems

  1. 1College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China; (P.L.); (Y.Z.)
  2. 2State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430070, China;
  3. 3Research and Development Center, Goldwind Science & Technology Co., Ltd. (Goldwind), Beijing 100176, China;

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BibTeX
@article{li2026novel,
  title = {{A Novel Class-Wise Dynamic Anchor Weighting Fusion Framework for Cross-Condition Fault Diagnosis of Offshore Wind Turbine Drivetrain Systems}},
  author = {Pude Li and Yingjie Zhang and Biliang Lu and Feng Ma and Jiongming Yang},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13667524},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - A Novel Class-Wise Dynamic Anchor Weighting Fusion Framework for Cross-Condition Fault Diagnosis of Offshore Wind Turbine Drivetrain Systems
AU  - Pude Li
AU  - Yingjie Zhang
AU  - Biliang Lu
AU  - Feng Ma
AU  - Jiongming Yang
PY  - 2026
DA  - 2026/09/24
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13667524
SN  - 1424-8220
ER  -