Project details

Project reference: 730863

Call reference: S2R-OC-IP5-03-2015

Period: from 01/11/2016 to 30/04/2019

Project value: € 1 500 562,50

S2R (H2020) co-funding: € 1 500 562,50

Coordinator: University of Newcastle Upon Tyne, Cristian Ulianov -

Project website:

Complementary project to: FR8HUB FR8RAIL FFL4E ARCC

IP Coordinator: IP5 - Thomas Jaeger - Deutsche Bahn (


The aim of INNOWAG is to develop intelligent cargo monitoring and predictive maintenance solutions integrated on a novel concept of lightweight wagon, which responds to major challenges in rail freight competitiveness, in relation to the increase of transport capacity, logistic capability and an improved RAMS and lower LCC.

The project determines how to effectively integrate innovative technologies for cargo condition monitoring into a novel high performance lightweight freight wagon, supported by effective health monitoring technologies, and predictive maintenance models for sustainable and attractive European rail freight. The development of novel technology concepts and predictive maintenance models and procedures are separately addressed by the INNOWAG work streams:

  • Cargo condition monitoring: Development of an autonomous self-powered sensor system for cargo tracing and condition monitoring of key parameters for critical types of freight
  • Wagon design: Development of a novel concept of modular and lightweight wagon
  • Predictive maintenance: Development of an integrated predictive maintenance approach to enable efficient use of both remote condition monitoring and historical data, and further support the implementation of predictive models and tools in rolling stock maintenance programmes