Intelligent Railway Switch

Fundamental knowledge that should enable the generation of a digital image showing the condtion of a railway switch was developed together with voestalpine Signaling Zeltweg GmbH in the research project iTPP 4.0. This should be able to reliably predict future wear and tear or defects of the points at any time. Machine learning algorithms derive decisions on planned maintenance from data from railway infrastructure sensors in a self-learning manner.

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