SciTransfer
Expertise area

Predictive maintenance and condition monitoring

5 European H2020 organizations list this as part of their work3 as their primary capability.

Top organizations

Most active in this area

  • CORE INNOVATION AND TECHNOLOGY OE

    Greek technology SME delivering IoT platforms, predictive maintenance, and digital twins for manufacturing, buildings, and transport infrastructure.

    Central theme across Z-BRE4K, LEVEL-UP, EnCORE (their only coordinated project), Dig_IT, and PRELUDE — spanning manufacturing, mining, and buildings.

    PrimarySMEEL17 projects
  • INNOVATIVE TECHNOLOGY AND SCIENCE LIMITED - INNOTECUK

    Cambridge SME developing robotic inspection, NDT, and structural monitoring systems for industrial assets in oil and gas, transport, and manufacturing.

    Participated in MANTIS (cyber-physical proactive maintenance) and VA-RCM (vibration-based train door condition monitoring).

    SMEUK6 projects
  • Inertia Technology B.V.

    Dutch SME developing wireless sensor networks and IoT monitoring systems for asset integrity, predictive maintenance, and safety tracking.

    INNOWAG targeted predictive maintenance on lightweight wagons; I-WSN addressed asset integrity monitoring — both require continuous condition assessment.

    PrimarySMENL4 projects
  • OCME SRL

    Italian packaging machinery manufacturer applying AI, digital twins, and distributed automation to industrial energy efficiency and predictive maintenance.

    IMPROVE (2015–2018) explicitly targeted data-driven modelling, machine learning, and diagnosis/prognosis for production systems — core predictive maintenance capabilities.

    PrimaryIT2 projects
  • ELECTROMAGNETIC COMPATIBILITY MCC B.V.

    Dutch SME combining electromagnetic compatibility expertise with intelligent motion control R&D for industrial mechatronic and Industry 4.0 systems.

    Predictive maintenance is listed among IMOCO4.E keywords, indicating expanding capability in data-driven asset health monitoring for industrial machinery.

    SMENL2 projects