Uncertainty-aware remaining useful life prediction and PPO based optimal maintenance scheduling in industrial IoT

Key Points

• Remaining useful life predictions showed significant improvement due to advanced models and methods.
• Key metrics indicated a 25% reduction in downtime when using enhanced maintenance scheduling strategies.
• This analysis incorporated uncertainty-aware predictions and optimal maintenance methods based on Proximal Policy Optimization (PPO).
• Results highlight the potential for adoption in industrial settings, yet further validation is needed in diverse environments.