Mission Brief
Predictive Maintenance Intelligence
Develop AI-powered predictive maintenance system for critical nuclear plant components
Primary Objective
Create an AI system that predicts component failures before they occur, optimizes maintenance scheduling, and ensures nuclear safety standards while minimizing unplanned downtime.
Secondary Objectives
Optimize maintenance windows to reduce radiation exposure
Predict optimal inventory levels for critical spare parts
Generate maintenance procedures adapted to component condition
Assess cascading failure risks across interconnected systems
Technical Requirements
Sensor Data Integration
Process vibration, temperature, pressure, and acoustic data streams
Handle sensor drift and calibration issues
Integrate periodic inspection data with continuous monitoring
Correlate environmental factors with equipment degradation
Failure Mode Analysis
Model multiple concurrent degradation mechanisms
Predict failure progression under different operating conditions
Assess confidence intervals for failure time predictions
Identify early warning indicators for each failure mode
Success Criteria
Predictive Performance
Predict failures 30+ days in advance with 90% accuracy
Reduce unplanned maintenance by 40%
Zero safety-significant equipment failures due to missed predictions
Evaluation Dimensions
Time Series Analysis
30%How effectively do you model degradation patterns and predict failure timing?
Multi-Modal Fusion
25%How do you combine different types of sensor data and inspection results?
Uncertainty Quantification
25%How do you communicate prediction confidence and handle uncertainty?
Safety Integration
20%How does your system integrate with nuclear safety systems and procedures?
Discussion Prompts
How do you balance prediction accuracy with false alarm rates?
What's your approach to handling equipment with limited failure history?
How do you account for changing operating conditions?
Deliverables
15-Minute Presentation
Predictive model architecture
Failure prediction dashboard mockup
Maintenance optimization algorithm
Bonus Challenges
Design a system for predictive maintenance of the AI system itself
Create a digital twin integration for maintenance planning
Build the future of nuclear maintenance - where AI prevents problems before they start.