Co-located with

Fraunhofer-Institut für Materialfluss und Logistik IML

Operate individual systems more efficiently with predictive condition monitoring – Fraunhofer ITWM

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Beschreibung

With our research and project experience, we develop customized solutions for the predictive and condition-based monitoring of individual special machines and test benches in maintenance, production and quality assurance.

Our mission:
– We help to make the current level of wear and tear with an impact on quality, reliability and energy consumption measurable and predictable.
– We help with the digitalization of inspections in order to automatically collect key performance indicators (KPIs) and plans in maintenance and production.
– We enable the monitoring of several assemblies with just a few sensors, e.g. on the drive train: motor, inverter, bearing, gearbox, shaft or on
. Machine tools: spindle, tool suspension, workpiece suspension
– We offer multi-sensor signal analysis with intelligent algorithms that take into account the setup and operating states of the system.
– We help with the incremental model structure in order to carry out TARGET/ACTUAL comparisons of the system states and to clearly diagnose and localize faults.
. localize errors.
– We support the identification of efficient control variables in order to operate systems more sustainably (wear, quality, throughput, energy consumption, rejects) or
. more efficiently.

Setting up test benches to digitize production:

If you collect the conditions for both manufactured and returned components and machines, you get an empirical database of good and “bad” conditions due to wear and defects. At Fraunhofer ITWM, we build and expand test benches so that we can evaluate and predict these qualitative profiles of conditions with life estimates. This enables you to develop digital business models for warranty, leasing, service or spare parts management.

Visit the Fraunhofer ITWM experts at the Fraunhofer Smart Community stand A09 in hall 4!

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