Duration: July 2022 - December 2024
Total funding volume: 1.2 million euros
University sponsorship volume: 164,536 euros
Funded by: Ministry of Economic Affairs, Innovation, Digitalisation and Energy of the State of North Rhine-Westphalia (MDIDE)

Digitisation efforts at small and medium-sized enterprises (SMEs) often prove to be a challenge because companies lack the relevant skills and tools. Holistic implementation in particular presents major hurdles. The "I4.0AutoServ" project therefore aims to create a holistic solution for production, especially for SMEs, based on data-based value-added services. These value-added services are intended to increase the availability and reliability of systems and machines. The aim is to achieve a high degree of automation in the generation, provision and application of data-based value-added services. This should largely eliminate the need for manual intervention. Furthermore, a high degree of scalability is to be achieved in order to find broad application in the production of a wide range of companies.

The Chair of Dynamics and Mechatronics is contributing its own expertise to this project, including in the fields of condition monitoring and predictive maintenance. The primary contribution lies in the development of a broadly applicable toolbox for generating and providing trained models for condition diagnosis and prediction. The aim is to achieve a high degree of automation. The contribution thus forms the core of the data-based value-added services, as these are enriched by machine learning methods.

Project partner: Weidmüller Interface GmbH & Co KG, Bielefeld University, Fraunhofer IOSB-INA, Lenze SE, Friedrich Remmert GmbH, PerFact Innovation GmbH & Co KG