Fraunhofer Institute for Industrial Mathematics ITWM

Fair

Munich / October 29, 2025 - October 30, 2025

Maintenance 2025

Leading Fair for Industrial Maintenance

We will be at the joint booth with Fraunhofer IML, Fraunhofer IAO, and Fraunhofer Austria. Booth number: 122A

Maintenance in Munich is the leading trade fair for industrial maintenance, where experts from various industries meet annually to present and exchange innovations and trends.

Together with the Fraunhofer Institute for Material Flow and Logistics IML, the Fraunhofer Institute for Industrial Engineering IAO, and Fraunhofer Austria, we are presenting innovative solutions for smart maintenance.

Our joint booth offers insights into data-based systems that improve overall equipment effectiveness (OEE). We are also hosting a lecture session with four presentations.

Lecture session

Thursday, October 30, 10 a.m. to 12 p.m.
[All talks are held in German]

Benjamin Adrian, Fraunhofer ITWM: »AI Meets the Test Bench: How to Create a Reliable Rul Forecast«
Safa Omri, Fraunhofer IAO: »Invisible Capital: Implicit Knowledge as the Key to Smart Maintenance«
Thomas Heller, Fraunhofer IML: »The Fifth Industrial Revolution (?): How Agent-Based AI Will Change Maintenance«
Theresa Madreiter, Fraunhofer Austria: »Smart Retrofitting for the Structured Introduction of Predictive Maintenance«

Our Topics

Contactless Torque Monitoring

In recent years, we have developed the software tools TorGrid, TorFat and TorAn, which, together with the non-contact torque sensor we distribute exclusively, each form a torsion detection and analysis system of varying complexity.  

Project »EMILIE«

In the »EMILIE« project – Embedding Machine Intelligence Logic and IT Security into Edge Devices – we are working together with our partners to improve the electronics used for this purpose and the so-called edge gateways. These are designed to securely and robustly collect information, process it based on artificial intelligence (AI), and optimally control and monitor production processes.

AI Applications for Industries With Limited Data

Artificial intelligence is revolutionizing industrial quality control with flexible systems. Despite the challenge of generating sufficient error patterns, we are successfully implementing innovative approaches such as synthetic data and transfer learning. Our projects demonstrate the practical application of AI in quality control.

Inline Quality Control for Production

We offer customized solutions for automated quality control in production that combine classic image processing and machine learning.

Predictive Maintenance

Industry 4.0 and digitalization increase production efficiency through predictive maintenance and condition monitoring, which minimizes downtime and optimizes maintenance. Our solutions use intelligent algorithms and multi-sensor technology for condition monitoring, automated KPI collection, and effective maintenance strategies, thereby saving costs.

More about condition monitoring and predictive maintenance in real-time plant operation