Incremental learning with prototype calibration and dynamic proxy for wind turbine fault diagnosis under time-varying operating conditions
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For supervisory control and data acquisition (SCADA) based intelligent fault diagnosis (IFD) of wind turbines, the domain-incremental learning (D-IL) paradigm enables the model to continuously adapt to new operational data while mitigating catastrophic forgett... ...
