Cite
HARVARD Citation
Tang, Z. et al. (2022). A wind turbine bearing fault diagnosis method based on fused depth features in time–frequency domain. Energy reports. pp. 12727-12739. [Online].
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Tang, Z. et al. (2022). A wind turbine bearing fault diagnosis method based on fused depth features in time–frequency domain. Energy reports. pp. 12727-12739. [Online].