HAL (France)
open access
A Deep Learning Fault Diagnose Method for Turbine Bearing: Digital Twin Mechanism
This study presents a digital twin (DT) based wind turbine bearing fault diagnosis approach to address the issues of insufficient fault sample size and inaccurate diagnosis. To assist in diagnosing bearing faults in wind turbines, a DT system was built. Bearing vibration signal enhancement processin
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