Transformer-augmented deep Q-network-based risk-informed maintenance policy for partially observable systems under combined degradation and random shock effects | Synapse
March 3, 2026
Transformer-augmented deep Q-network-based risk-informed maintenance policy for partially observable systems under combined degradation and random shock effects
Key Points
The risk-informed maintenance policy improves performance in systems facing combined degradation and random shock effects.
The framework integrates transformer-augmented deep Q-networks for better learning from system states and uncertainties.
Analysis reveals that using this method enhances predictive accuracy for maintenance needs over traditional approaches.
Implications suggest that implementing this policy may lead to more reliable operations in complex systems.