Liquid latent dynamics with disentangled degradation and condition states improve sensor forecasting RMSE to 0.2266 and degradation-state correlation to 0.5960 over GRU baselines on C-MAPSS but lag on direct RUL regression.
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Liquid Latent State Dynamics for Interpretable Turbofan Degradation Modeling
Liquid latent dynamics with disentangled degradation and condition states improve sensor forecasting RMSE to 0.2266 and degradation-state correlation to 0.5960 over GRU baselines on C-MAPSS but lag on direct RUL regression.