JNI3 – Digital twins for predictive maintenance and health indicators

Monitoring the state of health of industrial systems.

Launched in 2022 for a 4-year period, the JNI3 project aims to develop and implement Digital Twins (JN – Jumeaux Numériques) to monitor the state of health of industrial systems. It is focuses on the definition of digital twins capable of collecting data in real time and exploiting it to assess the state of health of the industrial system. The developed digital twin will be able to predict and optimize the lifetime evolution of the system depending on the different health indicators identified.

The JNI3 project falls within the scope of the Digital twin of complex industrial systems programme, led by IRT SystemX.

Expected results​

  • Define relevant health indicators from data flows collected in real time/delayed time on the industrial asset
  • Develop data selection methods to design a health model
  • Develop a digital twin capable of predicting early signs of equipment deterioration and offer preventive measures
  • Based on the prognosis of the industrial system on the availability of maintenance teams and production needs, develop a data-based digital twin to optimize under uncertainty the maintenance of intelligent industrial systems

Implemented skills

  • Data science and AI
  • Optimization
  • Safety

Targeted markets

  • Aeronautics
  • Energy
  • Manufacturing industry

Supervised theses

  • Thesis 1: Constrained predictive maintenance optimization under uncertainty
  • Thesis 2: Health key indicators for predictive maintenance using digital twin

Industry of the future

Project Status: Launched
Industrial partner(s):
Airbus Protect • Cosmo Tech • GRT Gaz • RTE • Safran • Sector Group
Academic Partner(s)
Edinburgh university
Project Manager(s)
Amira Ben Hamida
amira.benhamida[at]irt-systemx.fr

See also

Project

AI4CCAM

To develop an open environment for integrating trustworthy-by-design AI models of vulnerable road user behavior anticipation in urban traffic conditions.

Project

IEN – Environmental Impact of Digital Technologies

Developing tools to evaluate the environmental performance of digital technologies.

Project

DYNAMO – Dynamic Resilience Assessment Method including combined Business Continuity Management and Cyber Threat Intelligence solution for Critical Sectors

DYNAMO aims to solve the vulnerabilities of businesses linked to increasing digitalisation and ever-evolving cyber threats.