Are you a company that purchases in this domain, are you looking for solutions or cooperation or do you develop something (e.g. tools) in the field of Predictive Maintenance?
Then you are very welcome to this meeting!
We would like to invite you for a workshop Predictive Maintenance in the Aerospace Industry on March 29, 2022. We are pleased to inform you that we will be the guest of KLM Engineering & Maintenance at Schiphol.
For a limited group of 20 persons KLM E&M can provide a guided tour of Hangar 14 where the major maintenance work (the so-called C-checks) take place. It is a unique opportunity to see big aircraft in maintenance. If you are interested in joining the guided tour than be quick!
Predictive Maintenance in the Aerospace Industry. Workshop “Exploring the field of Predictive Maintenance and finding opportunities to collaborate”.
(optional) Guided Tour with visit to an aircraft maintenance facility (max 20 participants)
Welcome with coffee/tea
Welcome by host of the meeting, Paul Chün, Vice-President Technology Hub KLM Engineering & Maintenance
Welcome by the chairman of the day, Jacob Derks, Project Developer at World Class Maintenance
Presentation by Nathan Eskue, Professor Artificial Intelligence in Manufacturing at TU Delft Faculty Aerospace Engineering “Predictive Maintenance: Cornerstone of the Smart Factory”
“Predictive Maintenance” is a buzz phrase that is heard throughout the industry. But what is it, at its core? And why should we care? This discussion will show at a high level what predictive maintenance is, where it is used today, and why it is such an important and foundational element for a fully realized smart factory. We will review use cases and a vision for how it might be utilized in partnership with human operator, or as a component of a “lights out” (fully automated) factory.
Presentation by Rob Stolk, Predictive Maintenance Lead at Air France Industries KLM Engineering & Maintenance:“Prognos: Predictive Maintenance at AFI KLM E&M”
Prognos for Aircraft is one of the few predictive maintenance solutions in the aviation industry that uses full flight sensor data for prognostics. What are the opportunities with this rich source of data, and what are the challenges in data acquisition and processing? We will discuss how KLM uses artificial intelligence to turn aircraft big data into health predictions, and how these insights contribute to flight schedule stability and a reduction in maintenance costs.
Three workshops of 40 minutes. You will have the opportunity to follow three workshops in succession
- Challenges on Data Sharing
Workshop leader: Leon Gommans, Science Officer, Air France KLM Group IT, professor Data Exchange Systems, University of Amsterdam
- Predictive Maintenance to support asset management.
Workshop leader: Maurice Jilderda, Business Development Manager - Industry 4.0 at Perfact Group
- Developing predictive models and algorithms
Workshop leader: Pauline Vos, Research & Development Engineer at Gas Turbines & Structural Integrity Department at NLR – Royal Netherlands Aerospace Centre
Wrap up and feedback workshop leaders
End of meeting
Participation is free of charge
Registration (optional) guided tour aircraft maintenance facility
Please note! If you are interested in joining the guided tour then be quick. There is a maximum of 20 participants. You can sign up for this by sending an e-mail to email@example.com.
KLM Engineering & Maintenance
MRO lab, gebouw 411, Schiphol-Oost Technisch Areaal
The event is made possible by a topsector HTSM TKI grant.
We hope to welcome you on the 29th of March 2022 at KLM Engineering & Maintenance.