State-adaptive liquid neural network for continuous RUL trajectory modelling of harmonic drive
Structural Health Monitoring: An International Journal
Published online on June 10, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Accurate remaining useful life (RUL) prediction of harmonic drives is essential for ensuring the safety of space manipulators. However, existing data-driven methods tend to use discrete time steps to predict RUL. These approaches ignore the actual ...
Accurate remaining useful life (RUL) prediction of harmonic drives is essential for ensuring the safety of space manipulators. However, existing data-driven methods tend to use discrete time steps to predict RUL. These approaches ignore the actual ...