Innovative technologies for SMEs

Which new technologies can make products and manufacturing processes even more intelligent? How can small and medium-sized enterprises make the most of resources provided by research institutes to develop their own innovations? These and many more questions are the focus of the Spitzenclusters Intelligente Technische Systeme OstWestfalenLippe (it‘s OWL) second transfer day on 6th July in the "Fachhochschule Bielefeld".

Representatives from economy and science also informed themselves about our project results and experiences in regard to self-optimising plants.

Predicting fault conditions in wind plants requires an efficient condition monitoring in order to run economically.

However, automatically diagnosing fault conditions faces multiple challenges: Sensor values are highly individual, typically high dimensional and an exact physical model is usually impracticable. Furthermore, only a few system conditions are explicitly characterized.

The aim of the transfer project was to transfer self-optimisation methods on to this field of use and develop an easily configurable prototype. This project enables us to automatically detect fault conditions with the  help of machine learning methods, without requiring any specialised sensors.

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Tel.: +49 5221 101 1800