Research Group on Intelligent Maintenance of Industrial Systems

The Research Group on Intelligent Maintenance of Industrial Systems aims to develop applied knowledge and innovative solutions focused on the diagnosis, monitoring, and continuous improvement of complex industrial systems. Its purpose is to extend the service life of assets, reduce unplanned failures, and optimize operational performance through the use of emerging technologies and interdisciplinary approaches.

  1. Characterization and improvement of material properties.
  2. Non-intrusive fault detection.
  3. Redesign of equipment for research and development.
  4. Development of asset management models based on reliability, maintainability, and availability metrics.
  5. Application of cyber-physical systems, embedded systems, and data science in maintenance processes.
  • Development of new alloys and heat treatments for steels exposed to extreme wear.
    Participants: Tubacero, Viento Sur, IQUIM-UdelaR, UTN Argentina
  • Estimation of heat flux using thermography and numerical methods
    Participants: UTEC, UDELAR
  • 3D printing of optimal topology structures
    Participants: UTEC
  • Refurbishment of a resilient modulus analysis machine
    Participants: UTEC, UDELAR
  • Prominerva Alliance – Transition to Industry 4.0
    Participants: UTEC
  • Development of robotic parts from sawmill waste
    Participants: UTEC

Lara, Y., & Delgado, S. (2023). Three-Dimensional Printing of Optimal Topology Structures. Mecánica Computacional, 40(37), 1385-1385.

Lara, Y., & Abreu, A. (2023, April). Estimation of heat flux in materials using thermography and numerical methods [Poster]. II Meeting of Researchers in Materials Science, Montevideo, Uruguay.

Members