Quantifying Uncertainty of Deep Reinforcement Learning Based Decision Making for Operations and Maintenance of Nuclear Power Plant

Keyphrases

• Uncertainty Quantification 100%
• Nuclear Power Plant 100%
• Decision Maker 100%
• Learning-based 100%
• Deep Reinforcement Learning (deep RL) 100%
• Condition Monitoring 66%
• Monte Carlo Simulation 33%
• High Cost 33%
• Cost Reduction 33%
• Cost-effectiveness 33%
• Expected Cost 33%
• Decision-making Process 33%
• Noise Level 33%
• Nuclear System 33%
• Maintenance Cost 33%
• Repair Cost 33%
• Nuclear Power Plant Operation 33%
• Life Cycle Cost 33%
• Maintenance Strategy 33%
• Timing Optimization 33%
• Predictive Maintenance 33%
• Latest Advancements 33%
• Maintenance System 33%
• Time-based Maintenance 33%
• Average Life 33%
• Supply Chain Analytics 33%
• Spare Parts Management 33%
• Asset Management System 33%
• Observation Uncertainty 33%
• Cost Distribution 33%
• Stochastic Degradation Process 33%
• Maintenance Tools 33%
• Power Plant Maintenance 33%
• Life-cycle Maintenance 33%

Engineering

• Nuclear Power Plant 100%
• Operation and Maintenance 100%
• Decision Maker 100%
• Deep Reinforcement Learning 100%
• Condition Monitoring 66%
• Lifecycle 33%
• Degradation Process 33%
• Observability 33%
• Maintenance Strategy 33%
• Power System Operation 33%
• Asset Management 33%
• Predictive Maintenance 33%
• Lifecycle Cost 33%
• Repair Cost 33%
• Spare Part 33%

Chemical Engineering

• Condition Monitoring 100%
• Deep Reinforcement Learning 100%