First Workshop on Predictive Maintenance
We are happy to invite you to the first workshop in predictive
maintenance, co-located with CONCUR @ QONFEST'21.
Predictive maintenance is an upcoming field, aiming at optimizing
asset maintenance strategies through sensor technology, data
analysis, (stochastic) techniques, etc. PM 2021 brings together experts
from academia and industry, to share their knowledge and experience on the
soaring field of predictive maintenance.
This includes:
- model checking approaches, e.g. to optimise component replacement policies
- machine learning predictors, to extrapolate load growth and increased
repair frequency
- examples of applications in company assets and policies, etc.
PM 2021 features invited talks by experts from both academia and industry.
The specific goal is to offer a computer science perspective on the pushing
trends of PM for industrial partners, where participants will be able to
interact with personalities in the field.
Confirmed speakers:
- Kim G. Larsen (Aalborg University, DK)
- Alessandro Abate (University of Oxford, UK)
- Nick Oosterhof (Dutch Railways, NL)
- Alessandro Cimatti (Fondazione Bruno Kessler, IT)
- Roberto Manuel Cibils (INVAP S.E., AR)
- Lisandro Jiménez Roa (University of Twente, NL)
- Jaap van Ekris (Delta Pi, NL)
Participation is free of charge: save the date!
PM 2021 will take place digitally in *August** 28,* from 14:00 to 18:15.
Details on the registration process will follow later.
For more information please visit:
https://sites.google.com/utwente.nl/pm-2021
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