Extended deadline: December 15th

Submissions are still open!

TOPICS OF INTEREST

Topics of interest for submission include, but are not limited to:

Prognostics and Health Management

• Predictive maintenance algorithms
• Health monitoring techniques
• Machine learning/data-driven algorithms
• Physics-based and hybrid models
• Explainable and traceable AI
Structural Health Monitoring

• Diagnostic solutions
• Prognostic solutions
• Digital-twins & model-based solutions
• Sensing technologies
Reliability and safety

• Reliability for predictive maintenance
• Standards & certification
• Safety assessment
• Uncertainty analysis

IT enablers

• Intelligent maintenance systems
• Digital solutions & e-maintenance
• Federated analytics
• Data collection and analysis
• Data transmission, communication & storage
• Data sharing solutions
• Security & data integrity
• Big data solutions for CBM
• Edge computing solutions
Maintenance planning and practice

• Scheduling solutions
• Maintenance support modelling & simulation
• Inventory management
• Economic & operations studies
• Maintenance policies and strategies

Prognostics and Health Management

• Predictive maintenance algorithms
• Health monitoring techniques
• Machine learning/data-driven algorithms
• Physics-based and hybrid models
• Explainable and traceable AI
Structural Health Monitoring

• Diagnostic solutions
• Prognostic solutions
• Digital-twins & model-based solutions
• Sensing technologies
Reliability and safety

• Reliability for predictive maintenance
• Standards & certification
• Safety assessment
• Uncertainty analysis

IT enablers

• Intelligent maintenance systems
• Digital solutions & e-maintenance
• Federated analytics
• Data collection and analysis
• Data transmission, communication & storage
• Data sharing solutions
• Security & data integrity
• Big data solutions for CBM
• Edge computing solutions
Maintenance planning and practice

• Scheduling solutions
• Maintenance support modelling & simulation
• Inventory management
• Economic & operations studies
• Maintenance policies and strategies