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cs.LG2024
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction
Mo-Ran Liu, Tao Sun, Xi-Ming Sun
Aero-engine fault prediction aims to accurately predict the development trend of the future state of aero-engines, so as to diagnose faults in advance. Traditional aero-engine para…
cs.LG2024
Physically Informed Synchronic-adaptive Learning for Industrial Systems Modeling in Heterogeneous Media with Unavailable Time-varying Interface
Aina Wang, Pan Qin, Xi-Ming Sun
Partial differential equations (PDEs) are commonly employed to model complex industrial systems characterized by multivariable dependence. Existing physics-informed neural networks…