Quality papers are welcome – submission deadline: 30 July 2021
Organisations are continuously researching new strategies to improve the Overall Equipment Effectiveness (OEE) of their equipment. Particularly, maintenance costs can vary between 15% and 70% of production or ownership costs, making maintenance an important cost to be reduced. This is now possible due to the high levels of automation and, particularly to innovative IoT solutions. The ITEA SMART-PDM project offers a smart predictive maintenance approach based on cyber physical systems, acquiring manufacturing data to provide diagnosis and prognosis information while rendering the underlying technology financially feasible.
On 13-16 October, SMART-PDM will organise a special session on “Predictive maintenance architectures and applications for industrial systems” during the 47th Annual Conference of the IEEE Industrial Electronics Society (IECON 2021, 13-16 October 2021, Toronto, Canada). This session will address the main problems of designing industrial maintenance systems, from the collection of data from sensors to its analysis supported by advanced algorithms. The session targets all kinds of maintenance paradigms, from reactive to predictive and prescriptive, or any other kind of advanced maintenance concepts, with a strong focus on architectures and design.
SMART-PDM welcomes high quality papers to this special session, which is supported by the IEEE-IES Technical Committee on Industrial Informatics (TC-II), from industry and academia. Topics of interest include, but are not limited to:
- Architectures for maintenance applications
- Industrial applications and pilots on emerging maintenance techniques
- Sensors and Cyber Physical Systems for maintenance applications
- Filtering of data
- Condition monitoring
- Machine learning algorithms
- Signal analysis algorithms for maintenance applications
- Diagnosis & Prognosis & Remaining useful life
- Maintenance safety
- New frontiers: Machine as a service, maintenance as a service and reliable manufacturing
The paper submission deadline is on 30 July 2021.
Interested parties can send their contribution to: Luis Lino Ferreira (email@example.com), Barış Bulut (firstname.lastname@example.org), or Goreti Marreiros (email@example.com).