Industrial analytics for maintenance planning

Arrangör: KTH

The maintenance of machines plays a vital role in achieving high levels of productivity and sustainability. Industrial analytics methods can be employed to the large data sets and it will help in reducing the complexities for maintenance planning.

In this session, you will get to know from the panelist of KTH researchers about machines capabilities, modelling of machine performance, sensing & perception and data-driven decision-making. Hear us give research insights and practical solutions on making Swedish manufacturing highly productive and sustainable through effective maintenance planning.


Andreas Archenti

Professor, KTH

Maheshwaran Gopalakrishnan

Researcher, KTH

Eleonora Iunusova

PhD Student, KTH

Robert Tomkowski

Researcher, KTH

Bernd Peukert

Post-doc, KTH