The evaluation and use of data is playing an increasingly important role for railways and transport companies. For the asset management of infrastructure and vehicles, data analysis offers completely new possibilities, including predictive maintenance.

At the "Smart Data" conference, use cases will be presented with which data analysis can improve reliability and efficiency in rail and public transport. Daniel Pal, Business Manager of the Business Unit Rail-& Industry Consulting, will present a current ESE project in which S-Bahn trains were equipped with Edge Devices to record and evaluate the currents at the train doors. The aim of the project is to replace the statistical maintenance cycle of this targeted subassembly with an optimized and condition-oriented maintenance system.

You are interested in the presentation of Daniel Pal? Contact him and let him consult you on the approach to implementing a predictive maintenance solution in your business environment.