Predictive maintenance and condition monitoring
5 European H2020 organizations list this as part of their work — 3 as their primary capability.
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