52 citations
- Centre National de la Recherche ScientifiqueFR7 papers
- Institut National Polytechnique de ToulouseFR3 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR3 papers
- Université Toulouse III - Paul SabatierFR3 papers
- École Nationale d'Ingénieurs de TarbesFR2 papers
- Institut de Recherche Dupuy de LômeFR2 papers
- Institut de Recherche en Astrophysique et PlanétologieFR2 papers
- Laboratoire d’études spatiales et d’instrumentation en astrophysiqueFR2 papers
- Sorbonne UniversitéFR2 papers
- Synchrotron SOLEILFR2 papers
- Université de Bretagne OccidentaleFR2 papers
- Université de Bretagne SudFR2 papers
14 papers
Diagnostic Method for Hydropower Plant Condition-based Maintenance combining Autoencoder with Clustering Algorithms
Samy Jad, Xavier Desforges, Pierre-Yves Villard +2
The French company EDF uses supervisory control and data acquisition systems in conjunction with a data management platform to monitor hydropower plant, allowing engineers and tech…
Making sense of the spectral line profiles of Betelgeuse and other Red SuperGiants
A. López Ariste, Q. Pilate, A. Lavail +1
Spectropolarimetry of atomic lines in the spectra of Betelgeuse, and other Red SuperGiants (RSG), presents broad line profiles in linear polarization, but narrow profiles in intens…
Exploiting synchrotron X-ray tomography for a novel insight into flax-fibre defects ultrastructure
Delphine Quereilhac, Lola Pinsard, Elouan Guillou +7
Flax fibres are valuable reinforcements for tomorrow's composites. However, defects called kink-bands, which mainly appear on fibres during the extraction and transformation phases…
Deep learning for the detection of machining vibration chatter
Cheick Abdoul Kadir A. Kounta, Lionel Arnaud, Bernard Kamsu-Foguem +1
Most of the work on chatter detection is based on laboratory machining tests, thus without the constraints of noise, the variety of situations to be managed in the industry, and th…
Efficient Implementation of Non-linear Flow Law Using Neural Network into the Abaqus Explicit FEM code
Olivier Pantalé, Pierre Tize Mha, Amèvi Tongne
Machine learning techniques are increasingly used to predict material behavior in scientific applications and offer a significant advantage over conventional numerical methods. In…
Elucidating the formation of structural defects in flax fibres through synchrotron X-ray phase-contrast microtomography
Alain Bourmaud, Lola Pinsard, Elouan Guillou +5
The creation and ultrastructure of kink-bands in flax fibres are key issues for developing more and more performing biobased composite materials. Nevertheless, despite many hypothe…