Delft, The Netherlands

1st International Conference
for CBM in Aerospace

24 – 25 May 2022

About

The Delft University of Technology, in collaboration with H2020 ReMAP project partners, has the pleasure to organise and announce the first conference entirely dedicated to the topic of Condition-based Maintenance (CBM) in the aerospace domain. It is our belief that current forums focus on parts of the CBM chain, do not specifically address the aerospace sector, or are commercially oriented. There is the need for a dedicated conference to get practitioners and researchers together to discuss research and promote development in the full CBM scope for the aerospace industry.
The 1st International Conference for Condition-based Maintenance in Aerospace will be held in Delft, The Netherlands, on 24-25 May 2022. The conference aims to create an international platform for academicians, researchers, managers, industrial participants, and students to share their research findings in reliability engineering, sensing technology, predictive algorithms, data science and IT, artificial intelligence for CBM, optimisation solutions, digital-twin models, and safety & certification related to CBM. Bringing together leading experts and promising young researchers, the conference will offer an opportunity for scientific and technical discussions in relatively small groups. The conference will have social events, technical demonstrations, and keynote talks on critical issues and applications. In addition, the conference will have a workshop intended to present the results of the H2020 ReMAP project.

Registrations are now 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