AUSTRIA: Frauscher Sensonic and the Institute for Machine Learning at Johannes Kepler University in Linz are to collaborate to apply the latest machine learning techniques to the use of optic fibres for railway infrastructure condition monitoring.


Sensonic will fund two PhD positions, and participate in the development of the Cluster for High Performance Computing.

’Our solution creates a digital twin of all vibrations along a railway track that has a optic fibre cable running parallel to it’, said Sensonic CTO Rene Zeilinger. ‘This digital twin contains massive amounts of valuable information for stakeholders throughout both the rail and fibre network industries.

‘We already use a highly efficient AI-pipeline to train the algorithms that derive this information. Harnessing the latest findings from machine learning research, these real-time and historical insights will be improved and thus enable our customers to make better decisions.’