Second Public Industrial Course
Hosted by The EC Horizon 2020 European Training Network “MOIRA” (MOnItoRing of large scale complex technologicAL systems)
Dates: February 18-20, 2025
Location: SAFRAN, France.
The workshop highlights the developments of the MOIRA project, whose objective is to develop the next generation of knowledge discovery methodologies, algorithms, and technologies, enabling data-driven, plant-wide fleet monitoring, with a focus on real-time diagnostics and prognostics. This objective is achieved by having 15 early-stage researchers (ESRs) working closely and interacting frequently in this interdisciplinary and multi-disciplinary area.
During these 3 days of workshops hosted at SAFRAN in France, the latest research results carried out by the project's ESRs were presented and discussed, covering advanced topics such as unsupervised fault detection, anomaly detection, operational modal analysis, and robotic force control. In addition, the event featured dedicated industrial sessions led by SAFRAN experts focusing on physics-informed machine learning and innovative diagnostic applications for aircraft engines, complemented by an exclusive tour of the SAFRAN research laboratories. The workshop was completed by a comprehensive Scientific-Skills Training course featuring expert seminars on end-to-end modeling, digital twins (SciTwin), the integration of Large Language Models (LLMs), and predictive maintenance in aeronautics.
Agenda
| SECOND PUBLIC TECHNICAL WORKSHOP and MOIRA Scientific-Skills training course | Tuesday 18th
Industrial sessions & Lab Tour |
09:00 | 09:30 | Arrival |
| 9:30 | 10:00 | 2nd Industrial Public Workshop Welcome & Company presentation SAFRAN | ||
| 10:00 | 12:00 |
Physic Informed Machine Learning for engine performance inverse problem Sébastien RAZAKARIVONY, Dong Quan VU, Solène THEPAUT (Safran SA)
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| 12:00 | 13:30 | break | ||
| 13:30 | 15:30 | Several use cases of smartphones for aircraft engines
Julien GRIFFATON (Safran) |
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| 15:30 | 17:00 | Tour: SAFRAN research laboratories | ||
| 17:00 | Close | |||
| Wednesday 19th
Scientific Skills Training |
9:00 | 9:30 | Arrival | |
| 9:30 | 12:00 | GA/SB meeting | ||
| 12:00 | 13:30 | break | ||
| 13:30 | 17:00 | Scientific Skills Training
AN END-TO-END MODELING AND SOURCE SEPARATION Nacer YOUSFI (Safran tech)
SciTwin: A Scientific Digital Twin Tool for Optimized Maintenances Sin-seok SEO (Safran tech) TRampLin: Use Case with LLM Models David BRELLMANN, Sylvain SQUEDIN, Céline BERTHOU, Dohy HONG (Safran tech)
An introduction to optimal transport Nicolas PAPADAKIS
Survival Analysis for Predictive Maintenance in Aeronautics |
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| 17:00 | Close | |||
| Thursday 20th
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9:00 | 9:30 | Arrival | |
| 9:30 | 12:00 | Signal processing gradient information for improved unsupervised fault detection Douw Marx (Katholieke Universiteit Leuven)Enhancing Human Cognition in Maintenance through HSI Parul Khanna (Luleå University of Technology) Validation of timeseries anomaly detection methods in noise and vibration testing Lan Jia (Siemens Digital Industries Software NV) A Domain Knowledge Informed Approach to Anomaly Detection in Automotive Cabin Noise Deepti Kunte (Siemens Digital Industries Software NV) |
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| 12:00 | 13:30 | break | ||
| 13:30 | 17:00 | A context-aware methodology for fault detection and severity classification under variable operating conditionsFabrizio De Fabritiis (Katholieke Universiteit Leuven) Intelligent Learning and Adaptability of Robotic Force Control for Dynamic Industrial Environments Benjamín Tapia (IKERLAN) Operational Modal Analysis improvement by Operational-based spectral normalization in a Gearbox Mojtaba AHANI (INSA Lyon) A generalized approach for extracting deterministic components in nonstationary conditions Fadi Karkafi (Safran tech) |
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| 17:00 | 17:30 | Closing remarks | ||
| 17:30 | Close | |||