Improvements in predictive maintenance will lower costs


Ceit-IK4 is coordinator of the SIA (System for vehicle-infrastructure Interaction Asset health status monitoring) Project, working with eight international partners in Spain, France, Germany, Austria and the United Kingdom.
The goal of the project is to develop four new systems (iWheelMon, iRailMon, iPantMon and iCatMon) that will gather the information needed to determine the state of the rail assets that incur the greatest maintenance costs (wheels, rails, pantographs and catenaries).
More concretely, SIA seeks to save 15% in the maintenance costs related to these assets by reducing the need for in-situ inspection, while also reducing the risk of derailments caused by broken rails by 15%.
The EU-funded project (3.4 million euros) began on March 1, 2018 and will run for 36 months. The project partners are companies in the railway sector, high-tech information and communication companies, and research institutions:

• Ceit-IK4 Technology Center
• Union Internationale des Chemins de Fer (UIC)
• Deutsches Zentrum für Luft – und Raumfahrt EV
• Ingeniería y Control Electrónico SA
• Teléfonos Lineas y Centrales SA
• Vias y Construcciones SA
• ÖBB-Infrastruktur AG
• Ferrocarrils de la Generalitat de Catalunya
• Nottingham Scientific Ltd

The project's challenges center on the exploitation of European Global Navigation Satellite System services in order to obtain more precise and reliable train and asset positioning information for use in four new end-to-end services. These services will optimize maintenance operations for a wide range of potential clients, such as infrastructure management entities, train operating companies, integrated carriers, and maintenance subcontractors.

The project is funded by the European Commission as part of the Horizon 2020 program and under grant agreement 776402.