Nombre de documents

4

CV de Samuel TOMA


Communication dans un congrès3 documents

  • Samuel Toma, Laurent Capocchi, Gerard-André Capolino. An Efficient Architecture of Multi-Stage Neural Network for Wound-Rotor Induction Generator Short-Circuit Fault Classification. XXth International Conference on Electrical Machines (ICEM), Sep 2012, Marseille, France. pp.1565-1571, 2012. <hal-01083099>
  • Samuel Toma, Laurent Capocchi, Dominique Federici. A NEW DEVS-BASED GENERIC ARTFICIAL NEURAL NETWORK MODELING APPROACH. The 23rd European Modeling & Simulation Symposium (Simulation in Industry), Sep 2011, Rome, Italy. 2011. <hal-00603736>
  • Laurent Capocchi, Toma Samuel, Gerard-André Capolino, Farahat Fnaiech, Amine Yazidi. Wound-Rotor Induction Generator Short-Circuit Fault Classification Using a New Neural Network Based on Digital Data. 8th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED 2011), Sep 2011, Bologna, Italy. pp.6, 2011, ISBN:978-1-4244-9302-9. <hal-00603745>

Article dans une revue1 document

  • Samuel Toma, Laurent Capocchi, Gerard-André Capolino. Wound Rotor Induction Generator Inter-Turn Short-Circuits Diagnosis Using a New Digital Neural Network. IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, 2013, 60 (9), pp.4043 - 4052. <10.1109/TIE.2012.2229675>. <hal-01083108>