Expert Group Smart Maintenance
At a glance
- Project leader : Dr. Lilach Goren Huber
- Co-project leader : Dr. Maik Hadorn
- Deputy of project leader : Dr. Jan Thomas Palmé
- Project status : completed
- Funding partner : Other (data innovation alliance)
- Contact person : Lilach Goren Huber
In recent years many industrial and infrastructure asset owners
are shifting towards data-driven solutions for condition monitoring
and intelligent maintenance planning of their equipment. Old
paradigms such as “fix it when it fails” or alternatively
preventive maintenance are being replaced by condition-based and
predictive maintenance algorithms. What are the practical
implications for asset owners and manufacturers if they would like
to deploy such advanced algorithms? What are the benefits? What are
the challenges and how can they be tackled? How can industry profit
from recent advances of applied research, in particular in the
field of machine learning and deep learning?
In the meetings of the “Smart Maintenance” expert group we gather experts from industry and from applied research in order to address these questions. We organize webinars showing case studies of innovative smart maintenance applications in industry, focusing not only on success stories but also on challenges, open problems and practical solutions for successful deployment.
We encourage our members to participate actively in the discussions and provide us with input out of their own experience and interest domains. With this we provide a complete view of smart maintenance, covering all relevant aspects: from business case definition through data management, data analytics up to implementation and feedback by an engineering team in a commercial environment.