Behnam Einabadi


Former LIRIS member since: 2023-09-30

Quality
PhD student
Team(s) BD
Institution 
Autre
ThesisNew decision support methods for dynamic predictive maintenance based on data science and multi-objective optimization (click to view details)

Publications (IdHAL : behnam-einabadi)

Publications LIRIS pour Behnam Einabadi (5)

  • 2022 (2)
    • Journals (1)
      • International journals with peer review (1)
    • Conferences (1)
      • International conferences with peer review (1)
        •  Behnam Einabadi, Armand Baboli & Eva Rother (2022). "A new methodology for estimation of dynamic Remaining Useful Life: A case study of conveyor chains in the automotive industry". The 5th International Conference on Emerging Data and Industry 4.0 (EDI40), 25 mars 2022, Porto (Portugal), pp. 461-469. doi : 10.1016/j.procs.2022.03.060. HAL : hal-04099625.
  • 2021 (2)
    • Conferences (2)
      • International conferences with peer review (2)
        •  Maryam Mohammad-Amini, Behnam Einabadi, Armand Baboli & Reza Tavakkoli-Moghaddam (2021). "Determination of Health Key Performance Indicators and Their Visualization in the Production System in the Context of Industry 4.0". 2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA), 26 avril 2021, Chengdu (China), pp. 126-131. doi : 10.1109/ICIEA52957.2021.9436703. HAL : hal-03616165. .
        •  Behnam Einabadi, M. Mohammad-Amini, Armand Baboli & E. Rother (2021). "Dashboard proposition for health monitoring of production system in the automotive industry". 17th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2021), 9 juin 2021, Budapast (Hungary), pp. 780-786. doi : 10.1016/j.ifacol.2021.08.091. HAL : hal-03616135. .
  • 2019 (1)
    • Conferences (1)
      • International conferences with peer review (1)
        •  Behnam Einabadi, Armand Baboli & M. Ebrahimi (2019). "Dynamic Predictive Maintenance in industry 4.0 based on real time information: Case study in automotive industries". 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019, 30 août 2019, Berlin (Germany), pp. 1069-1074. doi : 10.1016/j.ifacol.2019.11.337. HAL : hal-02478629.