ENBIS Spring Meeting 2022

Session

Case studies

19 May 2022, 15:50

Grenoble

18. Development of an Operational Digital Twin of a Locomotive Systems

Mr Gabriel Davidyan (Israel railway)

19/05/2022, 15:50

A Digital Twin (DT) is a new and powerful concept that maps a physical structure operating in a specific context to the digital space. The development and deployment of a DT improves forecasting prognostic performance and decision support for operators and managers. , DT have been introduced in various industries across a range of application areas including design, manufacturing and...

26. The long road from data collection to maintenance optimization of industrial equipment

Emmanuel REMY (EDF R&D)

19/05/2022, 16:10

In the coming years, with the development of intermittent renewable energy sources and the gradual phasing out of coal-fired power plants, combined cycle gas turbines (CCGT) will play an essential role in regulating electricity production. This need for flexibility will increase the demands on the equipment of these CCGT and the issue of optimizing their maintenance will become increasingly...

16. Statistical process control versus deep learning for predictive maintenance of power plant process data

Mr Henrik Hansen (DTU & Ørsted (Industrial PhD))

19/05/2022, 16:30

Abstract

This work is motivated by the non-documented, practical learnings gained by a predictive maintenance (PdM) development team in the Danish energy company Ørsted. The team implements PdM solutions for power plant machinery to monitor for faults in the making. Their learnings support the hypothesis that there are not significant enough benefits to be gained from using overly...

22. Battery degradation model for mission assignment in a fleet of electric vehicles

Pedro Dias Longhitano (Volvo Group)

19/05/2022, 16:50

Battery prognostics and health management has recently become a very important and strategic topic specially with the rise of electric vehicles and electric mobility in general, which is seen as a key tool to reduce the impact of global warming. In order for battery health management to be viable, it is necessary to quantify and understand battery state of health (SOH) and its degradation...