Special session at ESREL 2021: “Health monitoring and predictive maintenance of offshore systems”

Phimeca Engineering and Principia will chair a special session for the 31st ESREL conference (19-23 September 2021) entitled: “Health monitoring and predictive maintenance of offshore systems”.

Important dates for this special session

  • Abstract submission: 31 March 2021

  • Full paper submission: 3 May 2021

IMdR “Uncertainty and Industry” workshops

If you are interested in the group activity, please consider officially joining it.

The Institute for risk management (IMdR) is an association helping industrials and public institution to engage in a process of risk evaluation, modelling and mitigation. The “Uncertainty and Industry”) working group focus on probabilistic modelling and the interplay between computer experiment and data science.

Next sessions:

  • 25 February 2021: “Computer experiment with dynamical models (I)”

    • Machine Learning for Risk Ranking Automation in IRSN Level 2 PSA”, Guillaume Kioseyian and Marine Marcilhac (IRSN)

    • Une nouvelle méthode de détection d’outliers fonctionnels pour l’analyse de transitoires accidentels”, Álvaro Rollón De Pinedo, EDF R&D Consult the program.

  • date to be anounced soon: “Computer experiment with dynamical models (II)”

    • Application de la décomposition de Karhunen-Loeve à l’étude simulations thermo-hydrauliques”, Roman Sueur, EDF R&D

    • Réduction de dimension d’ensembles de fonctions par modèles auto-associatifs”, Maéva Caillat and Sylvain Girard Phimeca

Academics−Engineers Gatherings

  • Duration: 1 day

  • Periodicity: once a year

  • website:

  • Free but mandatory registration, write at

The Academics−Engineers Gathering aims at stimulating the creativity of engineers and researchers for solving complex problems involving numerical simulation and data science. It fosters knowledge and technological transfer among scientific comunities.

Next topic will be anounced soon.

Previous topics :

  • Apprehend large dimension

  • Seizing motions: describe and infer system dynamics