A Hybrid CEEMDAN-GRU Framework with Cooperative Denoising for Vibration Trend Prediction of Hydropower Units
Accurate vibration prediction is critical for condition monitoring and predictive maintenance of hydropower units, yet it remains challenging due to strong noise interference, severe non-stationarity, and multi-scale coupling characteristics of raw vibration signals. This paper proposes a novel hybrid prediction framew...