Artificial Intelligence Can Transform the Way of Railway Maintenance

Train failures, unplanned outages and delays caused by technical issues are just a few of the problems that the rail transport industry must solve everywhere around the world. However, with a growing volume of operations and effectivity pressure, the traditional approach toward maintenance is no longer sufficient. The so-called predictive maintenance using artificial intelligence and advanced data analysis can be a solution.

This topic has been explored in an article published by the Czech news portal Newstream.cz, where Jan Otýpka from TTC MARCONI explains how modern technologies can help to predict emergency situations even before they can cause service outages.

Predictive maintenance relies on data collected from those sensors installed in both rolling stock and railway infrastructures. Artificial intelligence continuously analyses this data and is able to identify components that are at risk of failure. Thanks to this, it is possible to plan maintenance more effectively, reduce unexpected breakdowns and decrease overall maintenance costs.

New communication technologies will also play a key role. The future European railway communication standard, FRMCS, based on 5G networks, will enable a faster and more reliable transmission of large volumes of data from trains and railway infrastructure, something that is essential for the effective operation of these systems.

The TTC Group has long been active in areas that are key to the development of these solutions – from communication infrastructure and data transmission to industrial automation, data processing and advanced analytics. This is the way the TTC Group sees predictive maintenance as a major opportunity for the future development of railway transportation.

You can read the full article (in Czech) on the  Newstream.cz website.