Pronostic and predictive maintenance Theme

Theme presentation

Application Areas

• Construction 4. 0 and sustainable city
• Industry 5.0

Key Research Questions

• How to improve the accuracy of RUL prediction in a data frugal framework?
• How to improve the interpretability of RUL prediction models?
• How to improve the scalability of RUL prediction models, particularly in situations where large amounts of data are involved or where the model needs to be updated frequently?

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Illustrations of Scientific Activity

Youness et al., 2023. An Explainable Artificial Intelligence Approach for Remaining Useful Life Prediction. Aerospace, 2023, 10 (5), pp.1-23. hal-04102284

Benatia et al., Toward Smart Alarm Management in Complex Manufacturing Systems: an Embedded Deep Learning Approach. Journal of Expert Systems with Applications.

Barry et al., 2023. Predictive Maintenance for Aircraft Engine: Embracing an Ontological-Data Approach. 20th ACS/IEEE International Conference on Computer Systems and Applications. hal-04369673

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Barry et al., 2023. Predictive Maintenance for Aircraft Engine: Embracing an Ontological-Data Approach. 20th ACS/IEEE International Conference on Computer Systems and Applications. hal-04369673